text:
MODEL WORKERS. How leading companies are recruiting and managing their data talent
- Jonathan Melton
- 1 years ago
- Views:
1 MODEL WORKERS How leading companies are recruiting and managing their data talent Hasan Bakhshi, Juan Mateos Garcia and Andrew Whitby. July 2014
2 2 MODEL WORKERS How leading companies are recruiting and managing their data talent Acknowledgements We would like to thank the members of the advisory board for this project: Kion Ahadi, Matthew Bayfield, Francine Bennett, Naomi Gummer, Laura Hart, Andrew Harvey-Price, Peter Hounsome, Tom Khabaza, Hamish Nisbet, Christian Reimsbach Kounatze, Ammon Salter, Philippe Schneider, Ralph Schroeder, Rachel Schutt, Hetan Shah, Jeremy Silver, Ed Steinmueller, Greg Taylor, Richard Vidgen and Chris Yiu. We would also like to thank Liz Murphy, Jolyon Fairburn Beech, Jan Shury and David Vivian at IFF for their research support. Nesta is the UK s innovation foundation. An independent charity, we help people and organisations bring great ideas to life. We do this by providing investments and grants and mobilising research, networks and skills. Nesta is a registered charity in England and Wales with company number and charity number Registered as a charity in Scotland number SCO Registered office: 1 Plough Place, London, EC4A 1DE. Nesta 2014
3 MODEL WORKERS How leading companies are recruiting and managing their data talent Contents Executive summary 4 1. Introduction 7 2. Data frame: how are UK businesses analysing their data, 10 and what does this mean for their skills needs? I. Data modes 10 II. Big data convergence: how the data landscape is evolving The labour market for data talent 18 I. What makes the perfect data analyst? 18 II. Desperately seeking data talent 21 III. Where to now? The future evolution of the market for data talent Implications for educators and policy: 27 improving the supply of data talent in the UK Skills 27 Education Implications for managers 32 I. Finding talent 33 II. Building data teams 34 III. Placing talent 36 IV. Playing and doing Conclusions 39 Endnotes 41 Bibliography 43
4 4 MODEL WORKERS How leading companies are recruiting and managing their data talent Executive Summary This report draws on 45 interviews with industry experts working at the coalface of the UK s data economy to explore the following questions: What are the data analysis skills needs of leading companies? How do these companies find, manage and retain their data talent? How do policy and education need to change to improve the supply of data talent in the UK? I. Context: UK companies across all sectors are experiencing a quantitative turn There isn t a one size fits all for data analysis. The companies we have talked to can be classified into four broad data modes (Business Intelligence, Data Intensive Science, Web Analytics and Big Data), depending on the data sources they use and how they apply their data. Big Data companies the newest and arguably most innovative data mode look for valuable patterns in large and messy data sets, use those patterns to automate and predict, and design systems (machines) able to learn over time. Data scientists have the hybrid skill set to do Big Data work. Although statistics is at the heart of what they do, they also need programming skills to access and manage data in the first place, and to create data products and services. Big Data companies are in the minority in our sample they are a quarter of the companies we interviewed but this is changing, as more companies in other data modes start experimenting with new and bigger data. For example, Business Intelligence companies are moving from description to prediction, Data Intensive Science Companies are exploring new web data sources, and Web Analytics companies are developing automated products and services. This experimentation is driven by supply side factors (more data and better technologies to deal with it) and demand side factors (competitors are doing it, and customers are demanding faster, more personalised services). As a result there is strong demand for new types of data talent.
5 MODEL WORKERS How leading companies are recruiting and managing their data talent 5 II. Our interviewees report a severe shortage of UK data talent with the right skills Almost all the companies we interviewed, regardless of their data mode, are looking for analysts with a data scientist profile, including a mix of analytical and coding skills, and creativity and business know how. This convergence of data skills needs is driven by the increasing availability of bigger and messier data in all sectors of the economy. Four in five of the companies we interviewed are, however, struggling to find the talent they need. The skills shortages appear to be even more severe outside of London. Companies give several reasons for these skills shortages: Data talent is in short supply: there are too few candidates with the skills demanded. Data talent in the market lacks the right skills and experience: seasoned data analysts are very expensive, and junior people require extensive training. Data talent lacks the right mix of skills: good analysts often cannot code, and good coders often cannot analyse. Data analysts with the commercial nous to create business impacts are very rare. Many companies lack the capacity to recruit data talent effectively. There are hurdles in communicating data candidate specifications to HR managers and recruitment agencies, assessing the skills of candidates, and understanding the business value they can create. III. The long-term outlook for the market for data talent is uncertain Some companies think that changes in education and new technologies (such as better tools for data analysis) will alleviate the pressures on the market for data talent, while others think that competition for data talent between sectors will heat up the market further. Some companies are considering or have already started offshoring their data analysis capabilities outside of the UK. IV. Policymakers and educators need to take urgent action to address the near-term problems In the near term, action is needed to: 1. Develop the skills of the existing UK data workforce through targeted training and Continuous Professional Development (CPD). 2. Build up the data analyst profession to develop training standards, liaise with education and raise awareness about the value of data analysis in business.
6 6 MODEL WORKERS How leading companies are recruiting and managing their data talent 3. Ensure UK employers can recruit overseas data talent to remedy current skills gaps. 4. Create better linkages between employers and universities. 5. Improve the supply of data talent with the right mix of skills from education. In the longer term, the UK needs to: 6. Strengthen its education system to improve numeracy and data handling across the board. 7. Change perceptions of data analysis as boring and uncreative. V. Managers can learn from the leaders in adopting good practices Data analysis work is often innovative: the rewards can be great, but so are the management challenges in achieving them (and the risks of failure). The companies we interviewed are developing good practices and strategies to overcome these challenges. Action Practice 1. Finding data Building a reputation for doing interesting data work by publicising talent data analyses, participating in conferences and meet-ups, and contributing open data and source code back to the community. Going where the talent is, including online communities and competitions. Working with universities to identify promising new talent. Always testing candidates for their technical skills. 2. Building data Creating balanced teams; does data analysis inside the company teams require specialists or generalists? Creating diversity by design, because teams with varied skills and mindsets are more flexible, innovative and able to learn. Developing a shared language to make communication more efficient. 3. Placing talent in Setting up central data teams helps build a critical mass of data the right part of skills, but there is a risk these teams can become ivory towers. the organisation This can be avoided by creating strong communication channels with the rest of the organisation. Embedding data talent in other business functions improves communications, but can result in silos. This can be avoided by creating data talent communities spanning the organisation. 4. Data playing, Empowering data talent: Creative data analysts are most productive and doing when working in interesting projects over which they have a feeling of ownership. At the same time, it is important to channel talent into activities that create business value, preventing data analysts from going down analytical rabbit holes where there is little business value. Failure is a reality of all innovative projects including data analysis work. This risk of failure has to be accepted and managed.
7 MODEL WORKERS How leading companies are recruiting and managing their data talent 7 1. Introduction 1. Introduction The human face of the data revolution Every day brings a new story about the explosive pace at which data is being created, and about the business opportunities and threats that this represents. 1 Many of these stories focus on the raw material the high volume, variety and velocity data sets that businesses can now access and on outputs the services and platforms built with this data. The critical stage in the middle the actions that transform data into value for users and shareholders receives much less attention. Yet, we know that amassing data on its own does little for the bottom line data needs to be analysed, and the insights applied, and this involves skilled workers. 2 Algorithms might well be the commercial workhorses of the data economy, but they are created by human talent. What are the skills and competences that leading companies look for in this data talent? Where do they find it? How do they manage it? Will the education system be able to supply it? These are the questions that we address in Skills of the Datavores, Nesta s programme of research into the workforce skills implications of the data economy that we are running in partnership with Creative Skillset and the Royal Statistical Society. 3 This report is the first output from that research programme. The context for our research Analysts have always flocked to data rich industries, and new professions and academic disciplines such as actuarial science, operations research, financial mathematics and epidemiology have emerged to deal with new sources of industry data. 4 This is happening again. Innovations in software, hardware and networks have given rise to new and big data and also, in parallel, a new profession the data scientist to analyse it. 5 In most definitions, data scientists have programming and database skills to access and wrangle unruly data, statistical skills to extract insights from it, and the business knowledge to transform those insights into impacts. 6 A growing library of consultancy reports, executive surveys and business anecdotes suggests that people with these skills are in short supply. 7 However, not everyone is sold on the idea of data scientists. Some say that looking for them is like chasing unicorns, because people able to master all those skills are so rare. 8 Others complain that the data scientist label has become too vague a description of an occupation to be useful in practice. 9 There is also scepticism about whether a data scientist is a novel occupation, or rather a rebadging of existing ones like statistician or data miner. 10 Others still question the extent to which data science is relevant to industry in general as compared to a small elite of the most data intensive companies. 11
8 8 MODEL WORKERS How leading companies are recruiting and managing their data talent 1. Introduction There is a risk that confusion around skills might prevent businesses from exploiting new data opportunities. It makes it difficult for employers to recruit the right talent, and for talent to find what jobs to apply for. It makes it challenging to communicate the value of data talent inside businesses. And if the relationships between new occupations like data scientist and existing disciplines are unclear, it makes it harder for educators to design programmes that address the needs of industry, and for businesses to know who to speak to in universities. About this report We have interviewed 45 experts involved in recruiting and managing data talent with the aim of clarifying these issues. We want to understand what specific skills businesses want from their data talent, identify good practices when it comes to recruiting and managing them, and determine how policy and the education system must adapt to improve the supply of data talent in the UK (see Box 1 for an overview of our research methodology). In a companion report, to be published later this year, we continue studying these issues through the lens of a sample survey of UK firms. There, we will also look at the link between data talent recruitment and management practices, and financial measures of business performance. Structure Section 2. Looks at how the companies we interviewed use data, and what this means for their data analysis skills needs. Section 3. Considers the UK labour market for data talent: the profile of the perfect data analyst that businesses are seeking, and the talent that is available in the market. It also considers the future evolution of the labour market for data talent. Section 4. Presents the implications for policy and education. Section 5. Presents the implications for business managers.
9 MODEL WORKERS How leading companies are recruiting and managing their data talent 9 1. Introduction Box 1: An overview of the methodology This report is based on 45 interviews with industry experts including managers of data teams, data scientists and HR managers. The sample was designed to include companies that use data intensively and could therefore be expected to employ data talent. We considered seven sectors (Creative Media, ICT, Financial Services, Manufacturing, Pharmaceuticals, Retail and ICT). Most of our interviewees worked in large companies, although we also had a small proportion of SMEs and three individuals (two independent consultants and one investor). The interviews were conducted by two teams (IFF Research and Nesta) working in coordination. IFF undertook 30 interviews, and Nesta did 15. The interviews were semi structured, and covered topics including the analysis of data inside business, the skills needed to do so, how data talent is recruited and managed, the existence (or not) of skills shortages and potential policy actions. Two thirds of the interviews were conducted over the telephone, and one third face to face. On average, the interviews took one hour to complete. SECTOR Creative media 9 ICT 8 Pharmaceuticals 7 Financial services 6 Manufacturing 6 Retail 6 Other 3 SIZE Large (>250) 25 Medium (50 249) 8 Small (<50) 9 Individual 3 Scope and terminology Our main focus in this report is not on engineers who develop and maintain a company s data infrastructure (and who often work in IT departments), as important as this function is for collecting and making data available to others in the business. 12 Rather, we focus on those analysts whose job is to extract insights from that data when talking about them in general, we use the terms data talent or data analyst interchangeably. When referring to what they do, we use the term data analysis.
10 10 MODEL WORKERS How leading companies are recruiting and managing their data talent 2. Data frame: how are UK businesses analysing their data, and what does this mean for their skills needs? 2. Data frame: how are UK businesses analysing their data, and what does this mean for their skills needs? I. Data modes There is no data one size fits all We have found great variation in how data is used and, correspondingly, in the data skills make up of the existing workforce across the companies that we interviewed. This is not simply caused by differences in their analytical sophistication, but also in the types of data that matter to them, and the business models they use to create value from data. So, for example, the methods to extract insights from social media differ from those needed to optimise a logistics operation. Designing clinical trials to test the effect of drugs over months or years requires different skill sets from designing algorithms to assess a lending prospect in the blink of an eye. It is important to avoid thinking of data analysis as a monolith that looks the same in every organisation and sector. We have classified the companies that we interviewed into four data modes depending on what are now three standard features of the data they use 13 (Table 1): Volume: How big is the data? This refers to the volume of the data sets that are analysed. Smaller data sets can be analysed in a single conventional computer, while larger data sets might require dedicated clusters of such computers, or high end parallel processing. Variety: How varied is the data? Variety refers to the number of data sources that are combined for analysis, and how structured and clean the data is. Structured data is often available in flat tables, and ready for analysis. Unstructured data like text, video or audio needs to be processed to extract information from it before the analysis even begins. Velocity: How quickly is the data accessed and analysed? Some companies need to analyse the data they capture instantly ( online ) to deliver services like online banking or targeted advertising, while others do this periodically (in batches ).
11 MODEL WORKERS How leading companies are recruiting and managing their data talent Data frame: how are UK businesses analysing their data, and what does this mean for their skills needs? TABLE 1: THE FEATURES OF EACH DATA MODE Data mode BUSINESS DATA INTENSIVE WEB ANALYTICS BIG DATA INTELLIGENCE SCIENCE Data volume Medium Large Medium/Large Large Data variety Low mostly Low mostly Semi structured High often structured structured unstructured Data velocity Slow (batch Slow Fast Fast processing) Data outputs Dashboards New products Dashboards, Automated and reports reports and systems for experiments decision making Data talent BI and analytics Specialised Digital marketers Data scientists involved professionals academic disciplines e.g. computational biologists Business Intelligence mode Business Intelligence companies tend to rely heavily on structured data about financial and operational performance and customer transactions, accessed through relational databases like SAS, and analysed in batch in data warehouses and data marts. 14 The primary outputs of Business Intelligence are descriptive, and include reports and dashboards tracking Key Performance Indicators (KPIs) to support decision making by managers. 15 I think the key point is that analytics and appropriate dashboards and self-service Business Intelligence is just much more widely available, so many more people in the company can access it. Now they are making decisions in a much more informed way, using data and fact. It s definitely helping them make informed decisions because they can refer to what s happening with this particular product, or what s happening with our customer base, the demographics of whoever, and whatever. (Large Financial Services Company, FS3). 16 Companies in this data mode generally recruit from a well defined set of disciplines into widely recognised occupations such as Business Intelligence and Analytics roles.
12 12 MODEL WORKERS How leading companies are recruiting and managing their data talent 2. Data frame: how are UK businesses analysing their data, and what does this mean for their skills needs? Data Intensive Science mode Science based industries like pharmaceuticals often have to work with large data sets such as genetic sequences and randomised clinical trial data. This data is generally structured: 17 What s different about the Pharmaceutical industry is a lot of the data that we collect to make decisions; it s not data that is collected for any other purpose - it s very targeted. We decide what data we re going to collect, run the trial to get the data, make sure it s validated properly, and then use that data to make a decision. (Small Pharmaceuticals Company, P7) Data insights are used throughout the Research and Development process, including in drug discovery and in clinical trials. Although traditionally analysis has been rooted in the experimental method (collecting data to test specific hypotheses), access to more data is leading to a Fourth Paradigm for scientific discovery where pattern recognition plays a stronger role. 18 The questions that come back are much more complicated than what they were. So, someone s been taking a drug for ten years, experiences an event. Is it the drug, is it complication, is it the condition, how do you answer that in a scope of having access to real world patient records? (Large Pharmaceuticals Company, P2) Data Intensive Science businesses primarily recruit from well established academic disciplines like epidemiology and computational biology. Web Analytics mode Companies in the Web Analytics data mode collect and analyse data from website users to track web and ad campaign performance, often in real time. Some of this data such as event streams and server logs is semi structured, and can require substantial processing before analysis. The analysis is generally descriptive, and often involves tracking high frequency web metrics, and segmenting customers. A/B tests are used to test the popularity of online features and content, and of promotional messages. 19 The results are used to redesign websites, improve conversions and increase the return on marketing investments.
13 MODEL WORKERS How leading companies are recruiting and managing their data talent Data frame: how are UK businesses analysing their data, and what does this mean for their skills needs? Data driven design is at its most powerful when it is responsive, when you can iterate fast. What that means is that, in order to run a test, you have to get the artist and the coder but also get the back-end programmer to rewrite the analytics database in order to track the data you need. (Small Creative Media Company, CM8) Web Analytics companies employ digital marketers who use solutions like Google Analytics, Adobe Digital Marketing Suite and Webtrends. Big Data mode Recent advances in hardware, software and cloud services have made it possible for businesses to access and process massive volumes of data. This data often comes from the web, in unstructured or semi structured formats, like text, audio and video content, web logs or network data and at a fast velocity. Big data/data science refers to the arrival of new sources of data and a data infrastructure to make things scalable. There are more tools to work with data. (Large Pharmaceuticals Company, P4) This has created substantial opportunities for innovation, linked to: Revelation: Data about users online behaviours helps firms understand their preferences, as when a query in a search engine tells advertisers something about the interests of the user. This data can be mined for new and valuable insights. 20 Automation: Patterns in the data can be used to predict behaviours and outcomes, and deliver personalised services at scale and in real time. Learning: Machine learning methods make it possible to improve the performance of big data driven products and services dynamically, as they learn from their mistakes. 21 These opportunities are often best exploited by building new products and services e.g., search, and implementing new features into existing services e.g., recommendation systems in e commerce sites, driven by algorithms based on these analytical insights. Enter the data scientist Innovating with big data requires new skills: for example, messy data has to be cleaned before it can be reliably analysed. Visualisation techniques beyond familiar charts are needed to discover and communicate patterns in complex data sets. 22 The insights from analysis are often implemented in data products. 23 In the late 2000s, Silicon Valley companies working with big data like LinkedIn and Facebook started referring to workers with these skills as data scientists. 24 The hybrid nature of their skill set is also picked up in our interviews:
14 14 MODEL WORKERS How leading companies are recruiting and managing their data talent 2. Data frame: how are UK businesses analysing their data, and what does this mean for their skills needs? A Data Scientist is an analyst or data analyst who also writes code who also does code transformation of data. While people who just do data analysis, that s a business analyst and we have a specific role for business analysts in our organisation. I also separate that narrow view from a Data Engineer who does not do analysis but just does engineering or data engineering. So it s a relatively easy Venn diagram. (Medium Creative Media Company, CM4) Two previously separate areas have come together, programming and software engineering, and then statistical analysis and the whole mathematical side. I come from the engineering side. We don t have any people coming through aside from those who have done it on the job who have those two blended. Those who would have strong mathematical abilities but also can program and understand the realities of running large scale production systems. On the flipside, there are those who have software engineering and programming ability but don t have necessarily the statistical analysis and modelling background, so understanding clustering etc. that we look at. So bringing these two strands together is currently the problem we re tackling. Bringing these two streams together is the key in data science/analytics. It s an approach used to understand and approach data and form hypotheses to be tested with data and then be able to build systems out of that. (Large Creative Media Company, CM9) In Box 2, we look at the relationship between data science and statistics. The tools (and traits) of the trade The data science field is evolving, and so is its toolkit, which mostly consists of open source (free to use and modify) resources including the Hadoop framework for parallel data processing, Cassandra (a data store optimised for large data sets), Pig (a language to query unstructured databases) and R (an application for statistical programming). 25 Box 2: What is the relationship between data science and statistics? There is a long running debate about the relationship between statistics and data science amongst practitioners and educators (Shalizi, 2012). We also explored this issue with our interviewees. In general, they agree that statistics is a core component of the data scientist skill set the science part of data science (Wladawsky Berger, 2014). As one of our interviewees put it: Some data scientists I meet, they re just data engineers, they ve never done a regression analysis... so that s not a data scientist in my book ( ) A data scientist has to be at least partially working with statistics and knowing the math
15 MODEL WORKERS How leading companies are recruiting and managing their data talent Data frame: how are UK businesses analysing their data, and what does this mean for their skills needs? behind statistics which a lot of data engineers are not that familiar with or not to that degree. (Medium Creative Media Company, CM4) Having said this, some of our respondents highlight important differences between the way things are done in statistics and in data science: The difference between statisticians and data scientists is that they approach problems/think differently: statisticians develop algorithms to solve a problem; data scientists scale those algorithms to serve thousands of users. (Large ICT Company, ICT6) Traditional statisticians look at a reservoir, and data scientists look at a river flow of data (including third party data sets) to identify patterns there that can trigger real-time actions. (Large Creative Media Company, CM6) This distinction reflects the computer science and engineering aspects of data science: data science is not just about writing research reports and papers, but also building new tools and products (Dhar, 2014), which requires coding skills. This problem oriented feature of data science makes it multidisciplinary and pragmatic, and very open to borrowing techniques originating outside of statistics, such as machine learning algorithms from computing, graph theory from maths, and text mining techniques from linguistics. (Breiman, 2001, Cleveland, 2001, Varian, 2012). Of course, some self defined statisticians do work in this way, but it is perhaps less part of their formal training and approach. Another distinction sometimes made is that data scientists tend to be more focused on big data that is, large unstructured data sets. Some statisticians argue, however, that their strength is in the analysis of data sets (large or small), and that some data science practitioners may be good at collecting and storing data, but that their analytical skills and knowing what the data can actually tell them may be weaker. It is clear that linguistic debates in this area will continue for some time. More prosaically we have heard of statisticians who are changing their job title to data scientist as a way of gaining recognition and a financial premium in the job marketplace. Going beyond specific tools, we hear that data scientists have a creative and passionate attitude to data that combines the rigour and curiosity of the academic researcher and the pragmatism/resourcefulness of the hacker. 26 Like academics and software developers, data scientists often participate in innovation communities this includes contributing to open source projects and expert websites like Stack Overflow, and getting involved in meet ups and hack days to share experiences and skills. This helps them showcase skills and learn about the latest developments in the field: I find it more useful to send people to meet ups because lots of meet-ups do how-to sessions and walk you through a process of working with a tool for an hour or two. Or meet-ups for a weekend of hacking data where you can go and pick up some new skill sets for free just by going to the meet-ups. Someone will go to a conference and pick up a new skill set and mentor the rest of the team together. (Medium Creative Media Company, CM4)
16 16 MODEL WORKERS How leading companies are recruiting and managing their data talent 2. Data frame: how are UK businesses analysing their data, and what does this mean for their skills needs? II. Big data convergence: how the data landscape is evolving Big Data companies are in the minority, but perhaps not for long? As Figure 1 shows, businesses operating in the Big Data mode make up around a quarter of the organisations we interviewed. 27 They are primarily Creative Media, ICT and Financial Services companies providing online content and services for example, social games, web advertising and online banking. Most Pharmaceuticals companies we interviewed specialise in Data Intensive Science, and all our Manufacturers follow a Business Intelligence approach. Retailers with large bricks and mortar operations also use Business Intelligence, while e commerce companies employ Web Analytics. 28 FIGURE 1: DATA MODES BY SECTOR IN OUR SAMPLE 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% Creative Media Financial Services ICT Manufacturing Pharmaceuticals Retail Grand Total Web Analytics Data-Intensive Science Business Intelligence Big Data This picture is not static though. Although there remain uncertainties and in some cases scepticism about the hype surrounding Big Data (as one of our interviewees puts it, it can feel like a solution looking for a problem ), the overwhelming majority of the companies we interviewed are taking steps, albeit to varying degrees, in a Big Data direction. As one of our interviewees put it: Big data is overhyped. Those who are sceptical about it are wise, but too much scepticism would be foolish. (Large Financial Services Company, FS9)
17 MODEL WORKERS How leading companies are recruiting and managing their data talent Data frame: how are UK businesses analysing their data, and what does this mean for their skills needs? The change we see is being driven by supply and demand side factors. On the supply side, more and more data sets including open government data and unstructured web data are becoming available for analysis, and new technologies and cloud services are lowering the costs of data storage, management and analysis. Our respondents are also bringing together a variety of data sets previously kept in siloes with the goal of gaining a single customer view : Now we record every item of our stock, all the way through its life, every single day, until it s bucketed and disappeared, so that s 12 billion records a year. Even two years ago, we couldn t have imagined doing that. (Large Retail Company, R5) There are more sources out there and a lot more desire to use those sources. (What triggered the idea for investing in data analytics as a business tool) was understanding that there were new sources of information and that our business is changing and we have to show additional value for our products, and having information to describe the value becomes more and more imperative. We also understand that information is critical in finding new products so there is that emphasis and finally everybody is doing it. (Large Pharmaceuticals Company, P5) On the demand side, there is an increasing recognition of the commercial value of large scale data analysis, in some cases inspired by the activities of Big Data companies like Google and Amazon, in others by changes in customer expectations (for example, the growing demand for personalised services). I think the most important thing that is going to happen in the next years is that patients will have much more of a say as to what is happening to their healthcare and they will drive information flow. We talk about the healthcare ecosystem evolving and at the core will be patients and they will demand information about themselves and ways of how they might benefit and about their ability to almost decide the best path forward for them in healthcare. (Large Pharmaceuticals Company, P3) The result is much experimentation. Pharmaceuticals companies are using unstructured data from internet forums to evaluate drug safety, manufacturers are exploiting machine sensor data to speed up product development, and retailers are mashing up various data sets to decide where to locate their stores. Companies operating in the Business Intelligence data mode are applying sophisticated data mining algorithms to move from description to prediction. As a consequence of all this experimentation, the demand for new types of data talent (including data scientists) is growing rapidly in all sectors.
18 18 MODEL WORKERS How leading companies are recruiting and managing their data talent 3. The labour market for data talent 3. The labour market for data talent I. What makes the perfect data analyst? One of the most striking findings from our interviews is the remarkable similarity in the profile of the data talent that companies are looking for. Regardless of which data mode best characterises the business. Many of the companies that we interviewed are demanding people with the mix of skills used to define data scientists including analytical and programming skills, and business knowledge (see Table 2 for the profile of the perfect data analyst). We think that this is being driven by the increasing awareness of the opportunities that big data present for innovation in all sectors. TABLE 2: THE PROFILE OF A PERFECT DATA ANALYST Description Core skills Analytical: strong mathematics and statistics foundation. Technical: programming and database skills. Domain and business Knowledge of the sector: understanding data sources and real knowledge world situations and processes behind the data. Awareness of business goals and processes: Knowing the business questions that matter, and how data fits with the organisation. Soft skills Competencies Storytelling: Ability to transform analytical insights into actionable and compelling business recommendations. Team working: Enjoy working with people from different disciplines. Analytical mindset: Being able to re formulate complex questions as analytical tasks. Creativity: Knack for generating unexpected solutions to problems, and exploring data from different angles. Curiosity: Wanting to understand how the world works.
19 MODEL WORKERS How leading companies are recruiting and managing their data talent The labour market for data talent The core skills All our interviewees agree that a strong analytical foundation is essential for a data analyst the clear majority of our interviewees prefer to recruit people from quantitative disciplines like statistics, applied statistics, the physical sciences, computer science and engineering. They also look for candidates with strong computing skills including computer programming, and database design and operation. The key skills are deep understanding and data basing skills, high performance computational science skills, the analytics aspects, the mathematics and statistics and AI, that sort of thing, and then the business acumen. (Large Pharmaceuticals Company, P5) These skills are widely seen as transferable across sectors: 29 I found these skills are incredibly transferable and we recruit analytics staff from other sectors e.g. manufacturing, finance and retail as they do the same thing we do and have large data sources. For example, someone in finance uses data as predictive models of how someone is likely to default on their mortgage. We are doing predictive models based on patient attributes how likely they will be hospitalised in the next six months. The topic is very different, but the techniques are very similar. (Large Pharmaceuticals Company, P5) Regarding skills levels, PhDs are particularly valued insofar as they prepare individuals for solving problems conceptually and, in some cases, working with large data sets. 30 When we talk about data and data sciences, in some ways you are talking about research and research methods; quantitative and qualitative analysis, hypotheses testing, and that fundamental and deep understanding of research methods using data (collecting, correlation, causality) you tend to only find that people who ve done PhDs, less so MAs. (Small Creative Media Company, CM5)
20 20 MODEL WORKERS How leading companies are recruiting and managing their data talent 3. The labour market for data talent Domain and business knowledge Domain knowledge is also considered important by our interviewees. In some cases this means strong sector specific expertise understanding the theories that explain relationships in the data, and knowing data sources and their limitations: I think you would normally be looking for a science background, typically a biological science background, and that just really matches with the type of data that we re collecting. (Small Pharmaceuticals Company, P7) Businesses also say they want applicants who have a general knowledge of business processes and goals, and who understand that data analysis is not an end in itself, but a tool to achieve business outcomes. This business knowledge allows data analysts to identify those questions that are important for their organisation: Again, I think the danger is the data science tag is bringing in a lot of people where the coding and the science bit is more important; they are fascinated about how to do the analysis rather than what the analysis is actually going to deliver to the business. ( ) You talk to some people who are data scientists and they absolutely get it, they understand that anyway. You get others where you get very arcane debates about coding and R and Python and God only knows what else. (Large Retail Company, R3) Soft skills Many of our interviewees say they look for data analysts who can use data to tell compelling stories: 31 There is such a massive need to balance the technical side of things, the ability to handle data and the ability to translate it into something that means something in a business context. That s the bit that is most valuable to us. You can turn a few million lines of data into a table, but unless you can read that table and talk about what the implications are in the context of whatever question is being asked or whatever changes are being proposed, then it s useless information. (Large Financial services company FS4) The ability to work with people from other disciplines is also important. This does not just refer to other analysts, but also to people in different parts of the business that might be less data savvy including managers and domain experts in other departments:
Buyer s Guide to Big Data Integration
SEPTEMBER 2013 Buyer s Guide to Big Data Integration Sponsored by Contents Introduction 1 Challenges of Big Data Integration: New and Old 1 What You Need for Big Data Integration 3 Preferred TechnologyMore information
Why your business decisions still rely more on gut feel than data driven insights.
Why your business decisions still rely more on gut feel than data driven insights. THERE ARE BIG PROMISES FROM BIG DATA, BUT FEW ARE CONNECTING INSIGHTS TO HIGH CONFIDENCE DECISION-MAKING 85% of BusinessMore information
Analytics in Days White Paper and Business Case
Analytics in Days White Paper and Business Case Analytics Navigating the Maze Analytics is hot. It seems virtually everyone needs or wants it, but many still aren t sure what the business case is or howMore information
The 3 questions to ask yourself about BIG DATA
The 3 questions to ask yourself about BIG DATA Do you have a big data problem? Companies looking to tackle big data problems are embarking on a journey that is full of hype, buzz, confusion, and misinformation.More information
Ten Mistakes to Avoid
EXCLUSIVELY FOR TDWI PREMIUM MEMBERS TDWI RESEARCH SECOND QUARTER 2014 Ten Mistakes to Avoid In Big Data Analytics Projects By Fern Halper tdwi.org Ten Mistakes to Avoid In Big Data Analytics ProjectsMore information
SKILLS OF THE DATAVORES TALENT AND THE DATA REVOLUTION Juan Mateos-Garcia, Hasan Bakhshi and George Windsor JULY 2015... 11010101110101... 11101011101011011100... 1110011110101... 11100111010101000 ACKNOWLEDGEMENTSMore information
Navigating Big Data business analytics
mwd a d v i s o r s Navigating Big Data business analytics Helena Schwenk A special report prepared for Actuate May 2013 This report is the third in a series and focuses principally on explaining whatMore information
INDEX. Introduction Page 3. Methodology Page 4. Findings. Conclusion. Page 5. Page 10
FINDINGS 1 INDEX 1 2 3 4 Introduction Page 3 Methodology Page 4 Findings Page 5 Conclusion Page 10 INTRODUCTION Our 2016 Data Scientist report is a follow up to last year s effort. Our aim was to surveyMore information
Turning Big Data into Big Insights
mwd a d v i s o r s Turning Big Data into Big Insights Helena Schwenk A special report prepared for Actuate May 2013 This report is the fourth in a series and focuses principally on explaining what s neededMore information
Do slow applications affect call centre performance?
Do slow applications affect call centre performance? A white paper examining the impact of slow applications on call centre quality and productivity Summary To be successful in today s competitive marketsMore information
Statistics for BIG data
Statistics for BIG data Statistics for Big Data: Are Statisticians Ready? Dennis Lin Department of Statistics The Pennsylvania State University John Jordan and Dennis K.J. Lin (ICSA-Bulletine 2014) BeforeMore information
DRIVING THE CHANGE ENABLING TECHNOLOGY FOR FINANCE 15 TH FINANCE TECH FORUM SOFIA, BULGARIA APRIL 25 2013 BRAD HATHAWAY REGIONAL LEADER FOR INFORMATION MANAGEMENT AGENDA Major Technology Trends Focus onMore information
QUICK FACTS. Implementing a Big Data Solution on Behalf of a Media House TEKSYSTEMS GLOBAL SERVICES CUSTOMER SUCCESS STORIES
[ Communications, Services ] TEKSYSTEMS GLOBAL SERVICES CUSTOMER SUCCESS STORIES Client Profile (parent company) Industry: Media, broadcasting and entertainment Revenue: Approximately $28 billion Employees:More information
Big Data Discovery: Five Easy Steps to Value
Big Data Discovery: Five Easy Steps to Value Big data could really be called big frustration. For all the hoopla about big data being poised to reshape industries from healthcare to retail to financialMore information
Why Most Big Data Projects Fail
Learning from Common Mistakes to Transform Big Data into Insights What is Big Data?...2 Three Reasons Why Big Data Projects Fail...3 How Can Big Data Be Used?...5 The Lavastorm Approach to Big Data...5More information
BRANDLOGIK. an Introduction to. BIG data. the future is now
BRANDLOGIK an Introduction to BIG data the future is now 1 BIG data Many of our clients and contacts ask what Big Data can do for their business. This is an introduction an overview of what Big Data canMore information
2014 STATE OF SELF-SERVICE BI REPORT Logi Analytics First Executive Review of Self-Service Business Intelligence Trends 1 TABLE OF CONTENTS 3 Introduction 4 What is Self-Service BI? 5 Top Insights 6 In-depthMore information
Executive Summary. Process or Communicate? Agency or Direct? Efficiency or Effectiveness?
01-01 02-02 03-03 04-04 05-07 08-10 11-15 16-17 18-18 Introduction Background Methodology Executive Summary Demographics Process or Communicate? Agency or Direct? Efficiency or Effectiveness? Summary CANDIDATEMore information
SEYMOUR SLOAN IDEAS THAT MATTER The value of Big Data: How analytics differentiate winners A DATA DRIVEN FUTURE Big data is fast becoming the term keeping senior executives up at night. The promise ofMore information
Getting Started Practical Input For Your Roadmap
Getting Started Practical Input For Your Roadmap Mike Ferguson Managing Director, Intelligent Business Strategies BA4ALL Big Data & Analytics Insight Conference Stockholm, May 2015 About Mike FergusonMore information
Why Big Data Analytics?
An ebook by Datameer Why Big Data Analytics? Three Business Challenges Best Addressed Using Big Data Analytics It s hard to overstate the importance of data for businesses today. It s the lifeline of anyMore information
Datameer Cloud. End-to-End Big Data Analytics in the Cloud
Cloud End-to-End Big Data Analytics in the Cloud Datameer Cloud unites the economics of the cloud with big data analytics to deliver extremely fast time to insight. With Datameer Cloud, empowered lineMore information
ICT Perspectives on Big Data: Well Sorted Materials
ICT Perspectives on Big Data: Well Sorted Materials 3 March 2015 Contents Introduction 1 Dendrogram 2 Tree Map 3 Heat Map 4 Raw Group Data 5 For an online, interactive version of the visualisations inMore information
Business Analytics and the Nexus of Information
Business Analytics and the Nexus of Information 2 The Impact of the Nexus of Forces 4 From the Gartner Files: Information and the Nexus of Forces: Delivering and Analyzing Data 6 About IBM Business AnalyticsMore information
Tips to ensuring the success of big data analytics initiatives
Tips to ensuring the success of big data Big data analytics is hot. Read any IT publication or website and you ll see business intelligence (BI) vendors and their systems integration partners pitchingMore information
The Definitive Guide to Strategic Analytics. White Paper
The Definitive Guide to Strategic Analytics White Paper The Data Artisan: Enabler of Strategic Analytics In the past, the data analyst simply used the tools available to him or her and provided the resultsMore information
Beginning would be a good start
How should operators go digital? Expert's Forum Leveraging technology is fundamental to digital transformation but understanding customers and serving them exceptionally is at the heart of digital business.More information
EPSRC Cross-SAT Big Data Workshop: Well Sorted Materials
EPSRC Cross-SAT Big Data Workshop: Well Sorted Materials 5th August 2015 Contents Introduction 1 Dendrogram 2 Tree Map 3 Heat Map 4 Raw Group Data 5 For an online, interactive version of the visualisationsMore information
Louis Gudema: Founder and President of Revenue + Associates
The Interview Series - Presented by SmartFunnel Interviews of Sales + Marketing Industry Leaders Louis Gudema: Founder and President of Revenue + Associates PETER: Hello folks this is Peter Fillmore speaking.More information
Safe Harbor Statement
Safe Harbor Statement The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitmentMore information
Sources: Summary Data is exploding in volume, variety and velocity timely
1 Sources: The Guardian, May 2010 IDC Digital Universe, 2010 IBM Institute for Business Value, 2009 IBM CIO Study 2010 TDWI: Next Generation Data Warehouse Platforms Q4 2009 Summary Data is explodingMore information
Predicting the future of predictive analytics. December 2013
Predicting the future of predictive analytics December 2013 Executive Summary Organizations are now exploring the possibilities of using historical data to exploit growth opportunities The proliferationMore information
WHEN TO DIVE INTO OPEN INNOVATION The Key Factors that Determine Success
NINESIGMA WHITE PAPER WHEN TO DIVE INTO OPEN INNOVATION The Key Factors that Determine Success By: Stephen Clulow, Director of Healthcare Program Management, NineSigma Europe Companies are striving toMore information
Introduction The digital economy is thriving at an overwhelming rate, which has had a positive impact on job availability and career progression within the industry. Digital is driving revenue. Its reputationMore information
8 Tips for creating a savvy Social Media Policy
8 Tips for creating a savvy Social Media Policy Introduction In today s modern world, the number of people using social media continues to rise on a daily basis. Whether or not you re using social channelsMore information
Should you allow your employees to bring their own technology to work?
Should you allow your employees to bring their own technology to work? August 2014 Should you allow your employees to bring their own technology to work? Known by a number of terms such as Bring Your OwnMore information
HYBRID CLOUD: A CATALYST TO DRIVING EFFICIENCIES AND MEETING THE DIGITAL ASPIRATIONS OF THE UK PUBLIC SECTOR Public Sector Industry Report Contents 2 Executive Summary 5 3 Pressure to Meet 6 Key FindingsMore information
Integrating a Big Data Platform into Government:
Integrating a Big Data Platform into Government: Drive Better Decisions for Policy and Program Outcomes John Haddad, Senior Director Product Marketing, Informatica Digital Government Institute s GovernmentMore information
DON T GET LOST IN THE FOG OF BIG DATA MERCER S LESSONS FOR SUCCESS IN WORKFORCE ANALYTICS If 2013 has produced a breakthrough technology phrase, it is big data, a fairly vague but forceful term that featuresMore information
QLIKVIEW FOR LIFE SCIENCES. Partnering for Innovation and Sustainable Growth
QLIKVIEW FOR LIFE SCIENCES Partnering for Innovation and Sustainable Growth A BUSINESS MODEL BUILT FOR INSIGHT Success in today s life sciences industry requires insight into volumes of data, the sharingMore information
INTRODUCING RETAIL GET READY FOR THE NEXT WAVE OF ANALYTICS IN RETAIL By: Dan Theirl Rubikloud Technologies Inc. www.rubikloud.com Prepared by: Laura Leslie Neil Laing Tiffany Hsiao WHAT IS RETAIL? RetailMore information
Big Data better business benefits
Big Data better business benefits Paul Edwards, HouseMark 2 December 2014 What I ll cover.. Explain what big data is Uses for Big Data and the potential for social housing What Big Data means for HouseMarkMore information
The State Of The UK IT Recruitment Market
The State Of The UK IT Recruitment Market www.itjobboard.co.uk T: 020 7307 6300 Report Background The purpose of the report is to summarise the current state of the IT recruitment market in The UK. ThisMore information
QLIKVIEW DEPLOYMENT FOR BIG DATA ANALYTICS AT KING.COM QlikView Technical Case Study Series Big Data June 2012 qlikview.com Introduction This QlikView technical case study focuses on the QlikView deploymentMore information
III Big Data Technologies
III Big Data Technologies Today, new technologies make it possible to realize value from Big Data. Big data technologies can replace highly customized, expensive legacy systems with a standard solutionMore information
The Cloud for Insights
The Cloud for Insights A Guide for Small and Medium Business As the volume of data grows, businesses are using the power of the cloud to gather, analyze, and visualize data from internal and external sourcesMore information
The cross-channel insight imperative
The cross-channel insight imperative Why today s hyper-connected consumer means having a crosschannel consumer classification is more important than ever. An Experian Marketing Services white paper A changingMore information
A future career in analytics
A future career in analytics What is a career in analytics about? In the information age in which we live, almost all of us consume and produce digital data, either for business, community or private uses.More information
The Data Engineer. Mike Tamir Chief Science Officer Galvanize. Steven Miller Global Leader Academic Programs IBM Analytics
The Data Engineer Mike Tamir Chief Science Officer Galvanize Steven Miller Global Leader Academic Programs IBM Analytics Alessandro Gagliardi Lead Faculty Galvanize Businesses are quickly realizing thatMore information
Paid Search Services
Paid Search Services Results-driven, mathematical PPC Pay Per Click advertising is widely acknowledged as the most powerful form of direct marketing. Not only are you gaining access to people that wantMore information
Outlook 2011: Survey Report
Web Analytics Association Outlook 2011: Survey Report page 1 Web Analytics Association Outlook 2011: Survey Report Prepared by the Web Analytics Association February 2011 All Rights Reserved Web AnalyticsMore information
2.9.7 Other... 37 3.0 Summary... 38 4.0 About CCP... 39
Table of Contents 1.0 Executive Summary... 1 2.0 Survey Results... 3 2.1 Respondents... 3 2.2 Social Media and Recruitment... 6 2.2.1 Role of Social Media... 8 2.2.2 Brand Awareness... 8 2.2.3 BenefitsMore information
Increase Revenue THE JOURNEY TO BIG DATA. Gary Evans. CTO EMC Ireland. Twitter.com/Gary3vans. Copyright 2013 EMC Corporation. All rights reserved.
THE JOURNEY TO BIG DATA Increase Revenue Gary Evans CTO EMC Ireland Twitter.com/Gary3vans 1 THE VALUE OF BIG DATA VARIETY VELOCITY BIG DATA VOLUME COMPLEXITY organizations can earn an incremental ROI ofMore information
Global Leadership Conference 2014. Andrea Vogel EMEIA Market Leader, Strategic Growth Markets
Global Leadership Conference 2014 Andrea Vogel EMEIA Market Leader, Strategic Growth Markets The EY G20 Entrepreneurship Barometer 2013 The power of three Together, governments, entrepreneurs and corporationsMore information
A Visualization is Worth a Thousand Tables: How IBM Business Analytics Lets Users See Big Data
White Paper A Visualization is Worth a Thousand Tables: How IBM Business Analytics Lets Users See Big Data Contents Executive Summary....2 Introduction....3 Too much data, not enough information....3 OnlyMore information
Exceptional people. Providing specialist SAP recruitment solutions and IT support worldwide
Exceptional people Providing specialist SAP recruitment solutions and IT support worldwide Contents Our mission is to truly understand both the personal and professional requirements of our clients andMore information
Big Data and Data Science: Behind the Buzz Words
Big Data and Data Science: Behind the Buzz Words Peggy Brinkmann, FCAS, MAAA Actuary Milliman, Inc. April 1, 2014 Contents Big data: from hype to value Deconstructing data science Managing big data AnalyzingMore information
One View Of Customer Data & Marketing Data
One View Of Customer Data & Marketing Data Ian Kenealy, Head of Customer Data & Analytics, RSA spoke to the CX Network and shared his thoughts on all things customer, data and analytics! Can you brieflyMore information
The Missing Data Scientists. www.wipro.com
www.wipro.com The Missing Data Scientists P. Srinivasa Rao, Vice President & Global Business Head Analytics and Information Management, Wipro Technologies Table of Contents 1. Introduction...03 2. WhyMore information
Big Data, Data Analytics and Actuaries. Adam Driussi, Quantium
Big Data, Data Analytics and Actuaries Adam Driussi, Quantium Companies are collecting data like never before 3 Leading to massive volumes of data for analysis Volume Petabytes 2.5 PB Walmart databaseMore information
PDF PREVIEW EMERGING TECHNOLOGIES. Applying Technologies for Social Media Data Analysis
VOLUME 34 BEST PRACTICES IN BUSINESS INTELLIGENCE AND DATA WAREHOUSING FROM LEADING SOLUTION PROVIDERS AND EXPERTS PDF PREVIEW IN EMERGING TECHNOLOGIES POWERFUL CASE STUDIES AND LESSONS LEARNED FOCUSINGMore information
Focusing on you. Focusing on the future.
Focusing on you. Focusing on the future. Talk to JAM now on 0800 211 8877 www.jamrecruitment.co.uk Powerful RPO solutions from JAM Recruitment Future Great recruitment is incredibly powerful. It can changeMore information
WEB ANALYTICS Where to Begin
WEB ANALYTICS Where to Begin e-book SPOILER ALERT! People love the Internet. A lot. In fact, 92% of online adults rely on search engines when looking for information 1. That means your audience s firstMore information
A Future Without Secrets. A NetPay Whitepaper. www.netpay.co.uk www.netpay.ie. more for your money
A Future Without Secrets A NetPay Whitepaper A Future Without Secrets The new business buzz word is Big Data - everyone who is anyone in business is talking about it, but is this terminology just anotherMore information
The New War for Talent in Analytics and Marketing Services
The New War for Talent in Analytics and Marketing Services The analytics and marketing services sector is experiencing explosive growth. Influenced by major trends such as big data, digital and data-centricMore information
The Tru Files SOURCING TECHNOLOGY
SOURCING TECHNOLOGY @BillBoorman and Martin lee 4.0 /03 48 8,00010 We scoured presentations and conversations from the last twelve months of TRU events to bring you the best forwardlooking ideas in theMore information
Tapping into the Recruiting Power. Employees. Tapping into the Recruiting. of Existing. Employees. a Recruiting Trends white paper, sponsored by
Tapping into the Recruiting Power of Existing Power Employees Tapping into the Recruiting of Existing Employees a Recruiting Trends white paper, sponsored by Tapping into the Recruiting Power of ExistingMore information
Evolution to Revolution: Big Data 2.0
Evolution to Revolution: Big Data 2.0 An ENTERPRISE MANAGEMENT ASSOCIATES (EMA ) White Paper Prepared for Actian March 2014 IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Table of ContentsMore information
A New Foundation For Customer Management
The Customer Data Platform: A New Foundation For Customer Management 730 Yale Avenue Swarthmore, PA 19081 email@example.com The Marketing Technology Treadmill Marketing automation. Inbound marketing.More information
Best Connected Software from Ireland
Best Connected Software from Ireland A strategy for development of the indigenous software industry 2009-2013 Irish Software a Modern Success Story Over the past thirty years, Ireland has built an internationalMore information
Welcome to the webinar Does your department or company use the valuable data it collects to plan for future needs and trends?
Welcome to the webinar Does your department or company use the valuable data it collects to plan for future needs and trends? Host: Janet Barker Presenter: Nick Pope Getting more strategic with data DoesMore information
UNIVERSITY OF GREENWICH. Is your management team ready to face the challenges of 21st Century business?
Is your management team ready to face the challenges of 21st Century business? Is your management team ready to face the challenges of 21st Century business? 82 % Recent reports indicate that businessMore information
The Analytics COE: the key to Monetizing Big Data via Predictive Analytics
www.hcltech.com The Analytics COE: the key to Monetizing Big Data via Predictive Analytics big data & business analytics AuthOr: Doug Freud Director, Data Science WHITEPAPER AUGUST 2014 In early 2012 AnnMore information
Supporting performance at Dixons Retail integrating formal and informal learning
Supporting performance at Dixons Retail integrating formal and informal learning Dixons Retail is continually looking for ways to implement innovative learning processes that improve business performanceMore information
David Chappell October 2012 WINDOWS AZURE DATA MANAGEMENT CHOOSING THE RIGHT TECHNOLOGY Sponsored by Microsoft Corporation Copyright 2012 Chappell & Associates Contents Windows Azure Data Management: AMore information
Big Data Efficiencies That Will Transform Media Company Businesses
Big Data Efficiencies That Will Transform Media Company Businesses TV, digital and print media companies are getting ever-smarter about how to serve the diverse needs of viewers who consume content acrossMore information
ANALYTICS A FUTURE IN ANALYTICS WHAT IS ANALYTICS? In the information age in which we live, almost all of us consume and produce digital data, either for business, community or private uses. We accessMore information
RESEARCH PAPER. Big data are we nearly there yet?
RESEARCH PAPER Big data are we nearly there yet? A look at the degree to which big data solutions have become a reality and the barriers to wider adoption May 2013 Sponsored by CONTENTS Executive summaryMore information
Delivering Customer Value Faster With Big Data Analytics
Delivering Customer Value Faster With Big Data Analytics Tackle the challenges of Big Data and real-time analytics with a cloud-based Decision Management Ecosystem James Taylor CEO Customer data is moreMore information
birt Analytics data sheet Reduce the time from analysis to action
Reduce the time from analysis to action BIRT Analytics is the newest addition to ActuateOne. This new analytics product is fast and agile, and adds to the already rich Actuate BIRT product lineup the simpleto-useMore information
A PRACTICAL GUIDE TO MODERN MARKETING ANALYTICS How marketing analytics becomes the next competitive weapon in building stronger customer relationships PUBLISHED BY US Headquarters StrongView Systems,More information
Accenture Interactive Point of View Series. Marketing Analytics Being data smart requires a culture change to realize business benefits
Accenture Interactive Point of View Series Marketing Analytics Being data smart requires a culture change to realize business benefits Marketing Analytics Being data smart requires a culture change toMore information
Why is BIG Data Important?
Why is BIG Data Important? March 2012 1 Why is BIG Data Important? A Navint Partners White Paper May 2012 Why is BIG Data Important? March 2012 2 What is Big Data? Big data is a term that refers to dataMore information
Experian Cross Channel Marketing Platform. Managing campaigns and reaching consumers in real time
Experian Cross Channel Marketing Platform Managing campaigns and reaching consumers in real time The relationship between brands and customers has fundamentally changed. Whereas once there was equilibriumMore information
Software Outsourcing - Software Development. firstname.lastname@example.com
Hi I m Tony Radford from West Town Web Services. We area UK based great value, high quality software development and outsourcing solutions business. If you need software built or looked after please getMore information
University Uses Business Intelligence Software to Boost Gene Research
Microsoft SQL Server 2008 R2 Customer Solution Case Study University Uses Business Intelligence Software to Boost Gene Research Overview Country or Region: Scotland Industry: Education Customer ProfileMore information
BANKING ON CUSTOMER BEHAVIOR How customer data analytics are helping banks grow revenue, improve products, and reduce risk In the face of changing economies and regulatory pressures, retail banks are lookingMore information
Digital Analytics Checkup:
Digital Analytics Checkup: How to evaluate the impact of your web analytics data A Digital Marketing Depot White Paper Executive Summary Marketing organizations are being inundated with a greater volume,More information
Data Catalogs for Hadoop Achieving Shared Knowledge and Re-usable Data Prep. Neil Raden Hired Brains Research, LLC
Data Catalogs for Hadoop Achieving Shared Knowledge and Re-usable Data Prep Neil Raden Hired Brains Research, LLC Traditionally, the job of gathering and integrating data for analytics fell on data warehouses.More information
White Paper. Self-Service Business Intelligence and Analytics: The New Competitive Advantage for Midsize Businesses
White Paper Self-Service Business Intelligence and Analytics: The New Competitive Advantage for Midsize Businesses Contents Forward-Looking Decision Support... 1 Self-Service Analytics in Action... 1 BarriersMore information
The 4 Pillars of Technosoft s Big Data Practice
beyond possible Big Use End-user applications Big Analytics Visualisation tools Big Analytical tools Big management systems The 4 Pillars of Technosoft s Big Practice Overview Businesses have long managedMore information
Institute of Leadership & Management. Creating a coaching culture
Institute of Leadership & Management Creating a coaching culture Contents Introduction 01 Executive summary 02 Research findings 03 Conclusion 07 Methodology 08 Introduction The world of work is complexMore information
Executive Summary... 2. For Advertisers, Engaging Consumers Online Is Harder Than Ever... 2. Advertisers Are Embracing Rich Digital Media...
Executive Summary... 2 For Advertisers, Engaging Consumers Online Is Harder Than Ever... 2 Advertisers Are Embracing Rich Digital Media... 3 How Advertisers Are Using Rich Digital Media Today To DriveMore information
Managing Big Data with Hadoop & Vertica. A look at integration between the Cloudera distribution for Hadoop and the Vertica Analytic Database
Managing Big Data with Hadoop & Vertica A look at integration between the Cloudera distribution for Hadoop and the Vertica Analytic Database Copyright Vertica Systems, Inc. October 2009 Cloudera and VerticaMore information
Oracle Big Data Discovery Unlock Potential in Big Data Reservoir
Oracle Big Data Discovery Unlock Potential in Big Data Reservoir Gokula Mishra Premjith Balakrishnan Business Analytics Product Group September 29, 2014 Copyright 2014, Oracle and/or its affiliates. AllMore information
Big Data. Fast Forward. Putting data to productive use
Big Data Putting data to productive use Fast Forward What is big data, and why should you care? Get familiar with big data terminology, technologies, and techniques. Getting started with big data to realizeMore information
GLOBAL TREND REPORT IT DATA APPLICATIONS 014 H2 JUL-DEC ACTIVITY PICKING UP GLOBALLY In line with our commitment to keep professionals working in IT Data Applications functions up to date with employmentMore information
Kingdom Big Data & Analytics Summit 28 FEB 1 March 2016 Agenda MASTERCLASS A 28 Feb 2016
Kingdom Big Data & Analytics Summit 28 FEB 1 March 2016 Agenda MASTERCLASS A 28 Feb 2016 9.00am To 12.00pm Big Data Technology and Analytics Workshop MASTERCLASS LEADERS Venkata P. Alla A highly respectedMore information
BIG Data. An Introductory Overview. IT & Business Management Solutions
BIG Data An Introductory Overview IT & Business Management Solutions What is Big Data? Having been a dominating industry buzzword for the past few years, there is no contesting that Big Data is attractingMore information
Miracle Integrating Knowledge Management and Business Intelligence
ALLGEMEINE FORST UND JAGDZEITUNG (ISSN: 0002-5852) Available online www.sauerlander-verlag.com/ Miracle Integrating Knowledge Management and Business Intelligence Nursel van der Haas Technical UniversityMore information


text:
Brass Fuel Shut Off Valve For Dune Buggy Fuel Tanks
customer service
Our friendly and knowledgeable Sales Staff are here to assist you.
If you have any questions please don't hesitate to give us a call. We're always here to help.
service department
Our Service Department boasts six bays and a full "in-house" machine shop for all your air-cooled needs!
custom-built engines
From stock replacement engines to high performance and everthing in-between. We build high quality, extremely reliabile, and affordable engines to suit your needs.
passion for air-cooled
Here at Chirco we go out of our way to support our customers because we're VW enthusiasts just like you. We don't just fix and sell parts for 'em, we drive 'em too!
a message from joe
Thank you for choosing Chirco.com, your Source for VW, Dune Buggy, and Sandrail Parts Online.
Frequently Bought Together
Dune Buggy Stainless Steel Gas Fuel Tank 8x24 5 Gallon End Fill
Regular Price: $197.99
Special Price: $179.99
Dune Buggy Universal Ignition Switch
Regular Price: $13.19
Special Price: $11.99
Dune Buggy Sandrail Wire Harness
Regular Price: $82.49
Special Price: $74.99
Customers Who Bought This Item Also Bought
Brake Light Switch 2 Prong Fits VW Bug 1956-1969 Brazil Made
Regular Price: $9.89
Special Price: $8.99
Alternator / Generator Fan Belt 10 X 905mm 12 Volt 67-73
Regular Price: $8.79
Special Price: $7.99
Valve Cover Gasket 1200cc-1600cc VW Bug Beetle 1961 - 1979
Regular Price: $2.51
Special Price: $2.29
Shift Rod Bushing VW Bug Beetle 1946 - 1979
Regular Price: $3.51
Special Price: $3.19

subset: commoncrawl


text: So, I always ask if items can be removed from pockets before the shoot. Sach pulled out a flask and decided to keep it in his back pocket. I won't lie, we took shots through out the shoot. They made me ;) I have never had more fun being a third wheel than I did with these guys! We enjoyed our Saturday strolling around East Village in Downtown San Diego, aren't they cute?! Times like this make me so grateful for amazing couples and my job!


text:
Lady B - Cruising around Motor City.wmv MP3
Lady B "Cruising around Motor City" MP3
Out on Good Life in 2003 - Get the music at Bandcamp : http://ladybmusic.bandcamp.com/album/...
Lady B - Cruising Around The Motor City (Original) MP3
Artist - Lady B Song - Cruising Around The Motor City (Original) EP Year - 2003.
Lady B - Cruising Around Motor City MP3
GoodLife – GL17 Format: Vinyl, 12", 45 RPM, 33 ⅓ RPM Country: France Released: Mar 2003 Genre: Electronic Style: Techno, Electro.
Lady B - Cruising Around Motor City 2003 MP3
Lady B - Cruising Around Motor City 2003.
The Woodward Dream Cruise and the Firebreather MP3
The Smoking Tire heads to the Motor City for the annual Woodward Dream Cruise, the biggest single-day car show in the USA. But we need a ride, and what ...
Hemi Mopar Burnouts ~ More Vintage 426 Hemi Cars in the Motor City HD MP3
Hemi Mopar Burnouts - Gratiot Cruise 2010 Live Episode #1 First up are the Hemi low speed burnouts in the Gratiot Car Cruise 2010 early bird kickoff party at ...
Hardcore Pawn - Preview - Motor City Dream Cruise MP3
Detroit hosts its annual Dream Cruise, and the Golds know they have just one day to cash in on automotive merchandise.
Cruising with motor city ridaz MP3
Michigan Kappa and Motor City Roadsters Woodward Cruise 2008 MP3
Organized by the Michigan Kappa Club, with Special Guests the Motor City Roadsters in Detroit cruises Woodward on Thursday August 14, 2008. 28 Solstices, 8 ...
Carnival Breeze- "Motor City" After-Party MP3
The after-party, held in the Breeze Atrium of the Playlist Production show "Motor City" hosted by the Cruise Director: Matt Mitcham. Date of Cruise: 6/1/14-6/7/14.
Motor City Ridaz Cue N Cruise R.O Big Thurm bangin the Coupe as usual. MP3
Motor City Ridaz Que and Cruise # 3 MP3
ROLLERZ ONLY 313, Cruising with Motor City Ridaz Every other Sunday ,BBQ and Riding at its best. Great fun Great food. Come ROll with us. 7/7/2013 bring ...
Chrysler Eminem Super Bowl Commercial - Imported From Detroit MP3
The Chrysler 200 has arrived. Imported from Detroit.
Shelby GT 500 at Motor City Dream Cruise 2010 MP3
The Motor City Dream Cruise is the largest annual Cruise/Auto show in the world, over a million cars over a weekend, cruising and displaying over 10 miles ...
2012 Woodward Dream Cruise | Corvette | Chevrolet MP3
Classic car lovers from around the world traveled to Motor City for this annual rite of summer! The 2012 Woodward Dream Cruise featured Detroit-based graffiti ...
Woodward Dream Cruise 2014 MP3
The world's largest cruise, over a million cars come from all around the world to spend the weekend cruising in the Motor City. The Woodward Dream Cruise ...
Motor City Dream Cruise MP3
Detroit hosts its annual Dream Cruise, and the Golds know they have just one day to cash in on automotive merchandise.
A cruise around the old city of Chiang Mai, Thailand MP3
My new book - check it out here: http://goo.gl/hjEjS9 Here's a first person perspective of driving around the moat of Chiang Mai city on a motor bike. The city of ...
2003-2008 Dodge Ram cruise control switch MP3
Please help support this channel by any means such as word of mouth, sharing the links, or by donations. For donations please click on the "support" button on ...
The Motor City Ridaz Cue & Cruise #1 for 2015 MP3
Cue &n Cruize #1 for 2015, twenty and lee slide through..
Mustang Alley at Woodward Dream Cruise | Detroit, MI | Car Club USA MP3
Car Club USA travels to the Motor City for an up close look at how Ford Mustang owners celebrate the Woodward Dream Cruise. Mustang Alley, situated at 9 ...
Telegraph Cruise "BURNOUTS" MP3
This years hottest cruising action! Come check out what the Motor City has going on legendary Telegraph Road. My cruising home! If you like my video, come ...
The Dart Road Trip Cruises Woodward MP3
Steve Magnante takes the Dart Road Trip on a tour of the Motor City, and cruises Woodward in the Dart GT, customized with Mopar accessories.
http://corsica16.com Rented a Monte Carlo 47 feet motor yacht with the Fly from Beneteau on 6th june 2014. Departure from Toulon, then crossing the iles ...
Car Cruise at Passing Lane Motors - Hot Rods and Classic Cars MP3
Passing Lane Motors held their 2nd Annual Car Cruise In this Saturday, July 18th, and it really was a great time. Tons of awesome hot rods, street rods, muscle ...
Woodward Dream Cruise 2012 MP3
A few impressions from the Woodward Dream Cruise 2012. The Motor City's Dream Cruise is the biggest classic car event in the world with 40000 classic cars ...
Woodward Dream Cruise | AOL Autos MP3
Subscribe to AOL Autos Today: http://bit.ly/YPxiSb Read more AOL Autos here: http://autos.AOL.com/ The annual Woodward Dream Cruise brought around one ...
2014 Harley-Davidson FLD - Dyna Switchback - Motor City ... MP3
http://14109.motorcyclesforless.net/vslp/23083065?s=11 For Sale in Farmington Hill, MI 48335 Motor City Harley - Davidson (248) 671-6583 ext 101 Like New!


text:
Monday, August 3, 2009
Borrego Solar Gets Into Solar Finance With $30M In Funding
El Cajon-based Borrego Solar Systems, a venture-backed installer of solar power systems, is extending into the power-purchase agreement (PPA) market today with $30M in new backing. According to Borrego, it will offer financing to schools, companies, and government organizations interested in solar energy, through $30M in backing from Walsin Lihwa, a current investor in the company. Borrego said it will finance more than $100M in power purchase agreements--where companies and other organizations agree to purchase power from the firm over several years, instead of pay outright for solar power equipment installation--directly, without going through a third party finance firm. Borrego said it had $58M in revenue and over $90M in contracts at the end of 2008. The firm sold off its residential business back in February, and has since been focused exclusively on commercial solar installations.


text:
|Home > Montaro
♂ Montaro
What does Montaro mean?
Montaro [mon-taro] as a boys' name is pronounced mon-tah-roh. It is of Japanese origin, and the meaning of Montaro is "big boy".
ASSOCIATED WITH big (great)
VariationsCREATIVE FORMS
(male) Mantaro, Mortaro, ..
(female) Monmar, Montara, .. MIDDLE NAME PAIRINGS
Montaro Justice (M.J.), ..
How popular is Montaro?
Montaro is a rare first name for males and a rare last name too for both adults and children. (2000 U.S. CENSUS)
Montaro has yet to be ranked in the list thus far. (TOP 2000 NAMES, 2015)
Similar NamesSuggested similar names are Antero, Gennaro, Guntero (see Gunther), Jenaro, Jennaro, Keitaro, Kentaro, Mankato, Maro, Menard, Mentor, Monro, Monroe▼, Montae, Montagew, Montagu, Montague, Montaine, Montana▼, Montane, Montanna, Montanus, Montay, Montayne, Monte▼, Montel, Montes, Montez, Montie, Montrel, Monty▼, Munro and Venturo. These names tend to be more commonly used than Montaro.See names in meaning and etymology.


text:
Product Description
Flip - Reversible Leather Sectional Sofa Bed with Storage by VIG Furniture
The Flip is our reversible half leather sectional bed which includes an abundance of additional storage. Here is a three seat sofa bed containing a pocket-coil mattress and a chaise which can be placed on either side of the sofa. Both the sofa and chaise provide adjustable headrests. The chaise contains an accessible compartment opportune for the storage of any bedding accompanying the bed.
The rich and trendy design of Flip-Reversible Leather Sectional Sofa Bed with Storage by Vig revamps the decor of your living room. Reflecting a flawless smoothness and shine the sofa bed triggers a sense of awe and admiration. Wrapped in a stupendous leather cover the sofa complements your high profile status and stature. The provision of additional storage is what makes it an exclusive and efficient choice out there. A pocket -coil mattress and a chaise which can be placed on either side of the sofa is a friendly trait of this stupendous sofa bed. Such advanced features make this Flip-Reversible Leather Sectional Sofa Bed with Storage by Vig an apt choice for your modern taste and life. Durable and classy it is going to be an integral part of your city loft.
- Dimensions:
- 3-Seat sofabed: W72" x D40" x H32"
- Chaise: W40" x D74.5" x H32"
- Seat Height: 19"
- Arm Height: 24.5"
- Category: Living Room Sofas Quick Ship Products Front - Page Products
- Color: Espresso
- Finish: Leather\Leather Match
Additional Information
Additional Information
|Free Shipping
|Delivery Type
|LTL Curbside Delivery with Appointment
|Delivery Time
|2-5 Weeks
|VIG Furniture
Product Tags
You may also be interested in the following product(s)
Milano Beige Microfiber Sectional Sofa - VG2T0659
Regular Price: $2,568.00
Now only: $2,140.00
Waltz- Beige Leather Sectional Sofa - VG2T0761
Regular Price: $3,324.00
Now only: $2,770.00
Divani Casa Tango - Modern White Leather Sectional Sofa - VG2T0727
Regular Price: $4,560.00
Now only: $3,800.00
Diamond White Leather Sectional Sofa with Lights - VG2T0692-HL
Regular Price: $5,280.00
Now only: $4,400.00
Divani Casa Delta - Modern Leather Sectional Sofa - VG2T0680
Regular Price: $3,024.00
Now only: $2,520.00
Divani Casa Vanity Modern White Sectional Sofa VG2T0744S-WHT
Regular Price: $2,860.00
Now only: $2,399.00
Anthem Grey Fabric Sectional with Wood Shelves - VG2T0739
Regular Price: $4,464.00
Now only: $3,720.00
Ritz Modern Black Bonded Leather Sectional Sofa Set VG2T0693-BL
Regular Price: $3,792.00
Now only: $3,160.00
Jazz Black Tufted Leather Sectional Sofa - VG2T0687
Regular Price: $3,480.00
Now only: $2,900.00


text:
At Rio+20 the Nordic Council of Ministers presented a perspective of the Nordic Way towards a green, inclusive economy, with a focus on concrete solutions from a holistic point of view. The NCM activities had a strong emphasis on equal rights and welfare and included seminars and side events, as well as an official stand and a whole host of on-line actitivities that you can find on this website.
What is sustainability to you? What does it mean to be human? And what do you connect with the word nature? We collect words from all over the world to make a global collage of thoughts and ideas on sustainable development.
You can find the mobile friendly version at http://nm.onlinecampaign.dk


text:
It only takes a minute to get started. Fill out our simple sign up form and login to the website.
This step is up to you but will drastically increase your chances of receiving views from other daters on the website. Write a little about yourself, your interests and atach your nicest photo of yourself.
Utilise our website's cutting-edge search to locate members who match your criteria. Or just flip through listings and locate daters that appear interesting.
Found someone who could be interesting? Send a note to them or just a wink and see what happens next. With a little luck you'll be on your way to uncover your soulmate.
And start dating


text:
- Duration
2-3 hours.
- Group Size
Minimum of 6 hens.
- Availability
Every day of the week.
- Seasonal
All year round.
- Dress Code
Dress for chart success!
Please note...
Please Note: This page provides a general guide to our recording studio in Birmingham. We work with multiple suppliers, so please be aware that specifics may vary. Feel free to ask your Destination Specialist at the time of booking if you have any questions about this.


text:
Begin New Search
Refine Last Search
Cemetery Lookup
Add Burial Records
Help with Find A Grave
Top Contributors
Success Stories
Community Forums
Find A Grave Store
Log In
Debra Speck
member for 11 years, 2 months, 14 days
Add to MyFriends
Bio and Links
I am the mother of 3 children, grandmother of 6, and a school teacher. Genealogy has been my hobby for many years.
Leave Public Message
Contributions to
Find A Grave
70 Memorials Added
70 Memorials Managed
90 Photos
98 Virtual Flowers
2 Fame Ratings
Messages left for Debra Speck (6)
Leave Message
Eddie K
RE: Speck family
James Matthew Speck is my Great granduncle. I've got families for Isaac P and John Mathew Speck. Does one of them fit into his family??
Added by
Eddie K
on Jul 18, 2013 3:51 PM
Eddie K
Speck family
Does the Speck family you're working go back to Preston M, Michael, John Jacob, Michael Martin, Hans Jacob, and Jakob Speck??
Thank you.
Added by
Eddie K
on May 02, 2013 8:01 AM
barbara mcdaniel
John H Hayes
John was a sister to my husband's grandmother Mary Bladen. We did visit the Kellerby Cemetery several years back. Someone sent me a picture of John. It was the only picture they had of him. We only have one picture of Grandpa McDaniel but have several of Mary Bladen.
Added by
barbara mcdaniel
on Jan 06, 2013 3:58 PM
Family Tree
Hi Debra,
Thank you for your work on Auby & Delia Speck. I was working on our family tree and was not coming up with anything for either one of them. They were my great grandparents and Ione Speck Stanley was my grandmother. I am working on our family tree and the Speck side is very sparse. Is there any information you can give or ideas where I might look?
Thank you for your help in advance!
Susan (Stanley) Albert
Added by
on Oct 11, 2009 6:43 PM
Thank you
Thank you so much for your prompt reply Debra
Added by
on Sep 10, 2008 7:53 AM
Bessie Ann Bell Boston
I am a grand daughter to Esther May Bell, sister to your Bessie Ann BellBoston . I have little information on my grandmother or grandfather. My grandfather died when dad was about 6 years old and, She died when my father was around 12 years I think. My fathers name is Henry Snapp. I have not been able to prove a date of death for her and was hoping you could help. I do not know where she died or for sure what her last name at the time of death .
Her name on the 1930 census was listed as Esther Stevens , a widow. she was houskeeper at the address living and my father and his sister Aileen Snapp , were listed as borders.
any help you may have would be greatley appreciated.
Gods Blessings to you and your family
Added by
on Sep 09, 2008 7:29 AM
Privacy Statement
Terms of Service


text:
$39.99 $28.00
Vendor: Espiral Lingerie
This product is unavailable
See more: Lingerie
Wet look fabric, playful bows and one sexily positioned heart make this two piece lingerie set the perfect thing to slip on to ensure a romantic evening. The design includes cutouts in the bra and a heart-shaped panty front. Secured by neck ties, the bra top provides support and seduction at the same time. The set is available in Black with red trim or Red with black trim.
Imported By Espiral


text:
Our Process and Industrial Automation staff bring vast experience in designing, building, delivering and maintaining solutions for Continuous Manufacturing and Discrete Processes using best in class platforms.Learn More
It's our goal to help our clients ensure their process, manufacturing, packaging equipment, facility and utilities perform as the intended design.
Our IT staff offer a broad range of services in support of manufacturing, laboratory, packaging and enterprise systems. We put at your service our extensive experience in operations, to help you define and implement projects with a focus in operations improvement.Learn More
It is our goal to help our clients to complete their project on time, under budget and meeting 100% of the requirements. Principia PM staff can lead or support projects in all the disciplines we serve, including and not limited to Process, Engineering, Automation and IT.Learn More
In search of opportunities for cost reduction and productivity enhancement, organizations are turning into smart energy management alternatives. Principia engineers have hands-on experience in driving successful Energy Management Programs.
Principia is a provider of robust technical solution with high Quality and Compliance standards. As part of our holistic offerings, we include commissioning and Qualification Services and Computer System Validation services. These are also provided as stand-alone services based on customer needs.Learn More


text:
Report summarySingapore imports almost all its fuel required to run its trade-based economy. The services sector contributes two-thirds of the GDP, but energy demand is dominated by its industrial and shipping sectors. Oil is by far the most consumed fuel in Singapore, of which more than 50% is used for marine bunkers.
What's included?
This report includes 2 file(s)
- Singapore energy markets outlook 2014 - overview PDF - 422.07 KB 14 Pages, 8 Tables, 9 Figures
- Singapore.xls XLS - 753.00 KB


text:
Loading... hold tight!
Due to launch in mid-April, says SCEE.
Monday, 31 March 2008
Sometimes we include links to online retail stores. If you click on one and make a purchase we may receive a small commission. For more information, go here.
Tom worked at Eurogamer from early 2000 to late 2014, including seven years as Editor-in-Chief.
Comments (38)
Comments for this article are now closed, but please feel free to continue chatting
on the forum!


text:
All quotes tagged Poems
(213 quotes found)
"'Tis now the very witching time of night, When churchyards yawn and hell itself breathes out Contagion to this world"
"'Tis now the very witching time of night, When churchyards yawn and hell itself breathes out Contagion to this world"
"Sometimes you see kids addressing issues, whether it be suicide, or drugs affecting them or their family. Sometimes the poems are a cry for help - something they can't express but they need to say. It's feelings and emotions coming out. Not just a story to inform or educate, but true emotions. The other teens can really relate to that."
"O love, O fire! once he drew
With one long kiss my whole soul through
My lips, as sunlight drinketh dew."
"Warm summer sun, shine kindly here. Warm southern wind, blow softly here. Green sod above, lie light, lie light. Good night, dear Heart, Good night, good night."
"Through our sunless lanes creeps Poverty with her hungry eyes, and Sin with his sodden face follows close behind her. Misery wakes us in the morning and Shame sits with us at night."
"She bid me take love easy, as the leaves grow on the tree;
But I, being young and foolish, with her would not agree."
"If I were assigned poems I suppose I'd write more of them but it is entirely voluntary and for the most part ignored in the market sense of the word so the language to me is most intimate, most important, most sublime and most satisfying when it gets done."
"Another fresh new year is here . . .
Another year to live!
To banish worry, doubt, and fear,
To love and laugh and give!
This bright new year is given me
To live each day with zest . . .
To daily grow and try to be
My highest and my best!
I have the opportunity
Once more to right some wrongs,
To pray for peace, to plant a tree,
And sing more joyful songs!"


text:
Asus CM6730-US005S Desktop PC - 3rd Gen. Intel Core i5-3350P 3.1GHz, 6GB RAM, 1TB HDD, DVDRW, Windows 8 64-bitItem#: A50-G1404 | Model#: CM6730-US-005S
Currently Out Of Stock!
You May Consider This Alternative
Additional Resources
Asus Core i5 1TB HDD 6GB RAM Desktop PC Product Details
Additional Resources: Product Manuals
Recommended Items
Related ItemsPrevious
Manufactured by: Asus
Warranty provided by: Asus
UPC No: 886227315178
Mfg Part No: CM6730-US-005S
Box Size:
( Length:22, Width:10, Depth:22)
Shipping Weight: 22.1000 pound(s)
Click here for full warranty and support information
- Asus logos are registered trademarks of Asus. All others trademarks and copyrights mentioned herein are the property of their respective owners.


text:
A United States study has found that, despite hookup apps like Tinder making sex easier to locate than ever, today's young people are actually having less sex than their parents.
The study led by Jean M. Twenge from San Diego State University, found that between 1972 and 2012, the average number of sexual partners had by one person decreased.
Using data from the US General Social Survey, the researchers found an adult Millennial has 8.26 sexual partners on average, compared to 11.68 for the Baby Boomer generation.
But, if you're a member of Gen Y upset that your parents had a more exciting sex life than you will, fear not. There is substantial evidence that this trend has not been seen in Australia.
Data from the Australian Study of Health and Relationships, conducted first in 2001/2 and again in 2011/2 suggests that the average Australian's number of sexual partners is on the rise.
Professor in Sexual Health at the University of New South Wales Juliet Richters, who was one of the investigators for the study, says that younger Australians are more likely to have more sexual partners because of changes in lifestyle conditions.
"Baby boomers had fewer lifetime partners, especially the women, than people aged under 50 in the last survey," Professor Richters says.
"Since the 1970s, reliable contraception has made it possible for people to put off childbearing, now on average until around 30, so people often settle down with their long-term partner later in life than baby boomers did."
That said, Professor Richters said researchers did observe an increase in disapproval for sex outside of a committed relationship in the decade between each round of the study.
"[Millennials] care more about consent and the terms of the relationship, rather than seeing sex as wrong in itself," she says.
"Young people are more likely to have discussed with their regular partner whether it's OK for them to have sex with anyone else, whereas older generations are more likely to assume that a relationship is monogamous without discussing it."
The average Australian man reports to have had sex with 18 women throughout his lifetime, while the average Australian woman reports to have had sex with eight men.
Among gay and bisexual men, this figure jumps to 96 partners, while the figure for gay and bisexual women is slightly lower than the female average, at six.
The US study, which was published in the Archives of Sexual Health today, found that while Generations Y and Z are having less sex than their parents, their attitudes towards having sex are substantially more progressive.
The study found in 2012 58 per centof respondents said there was nothing wrong with sex before marriage, up from 49 per cent in the 2000s and 29 per cent in the 1970s.


text:
The Local Traffic Committee has no decision-making powers. The LTC is primarily a technical review committee, which is required to advise the Council on matters referred to it by Council. These matters must be related to prescribed traffic control devices and traffic control facilities for which Council has delegated authority.
The LTC should consider the technical merits of the proposal and ensure that the proposal meets current technical guidelines.
The Council must refer all traffic related matters to the LTC prior to exercising its delegated functions. Matters related to classified roads or functions that have not been delegated to the elected Council must be referred directly to the RTA or relevant organisation. Such matters must not be referred to the LTC. However, the RTA will generally seek the views of the Council on classified road traffic issues via the informal items process.
A Council is not bound by the advice of its Local Traffic Committee.
The LTC is to be made up of four formal members. The members are as follows:-
One representative of Council One representative of the NSW Police One representative of the RTA The local State Member of Parliament (MP) or their nominee.
Contact Details
Contact by email: email@example.com or Telephone (02) 6941 2517


text:
When: Sat., Jan. 26, 6 p.m. 2013
The Alley may be a new hot spot for bowling, drinks, and dining, but apparently they know how to throw a party too. They're the site of this year's Charleston Gopher Ball, an annual event to raise funds and awareness for the First Tee Greater Charleston. The program provides positive mentoring and teaches life values to local youth through the game of golf. The theme is Caddyshack, and guests are encouraged to dress in 1980s country club attire — think plaids and pastels. Admission includes an evening of food, cocktails, music, bowling, and arcade games. You're also guaranteed quality time with 400 of your closest colorfully clad friends and First Tee's six-foot gopher mascot named Lenny, who will be hosting "Lenny's Olympics" this year. "For a $20 donation you get a score card and a chance to bowl, play skee ball, and shoot some hoops — the best cumulative score for the night wins some awesome prizes," says First Tee's Staci Bennett. Bill Murray, if you're reading this, please crash this party.
Emily Taylor
Price: $60


text:
Breakfast • Pillow
$ 32.00
This naïve, eccentric New York City party girl can always be spotted having breakfast outside of the 5th Avenue Tiffany's, but she's finally decided to break that tradition and is now dinging there for lunch! Hot dog's anyone?!
This soft pillow (art by Trevor Wayne) is an excellent addition that gives character to any space. It comes with a soft polyester insert that will retain its shape after many uses, and the pillow case can be easily machine washed. And it's completely cut, sewn and printed in the USA.
• 18x18"
• machine washable cover
• concealed zipper
• printed on both sides
• pillowcase cover: 80% polyester, 20% fleece
• pillowcase insert: 100% polyester


text:
LM Delectable Records Total Tech Tops 01
Total Tech Tops 01 MULTiFORMAT DVDR-DYNAMiCS | 429 MB
Using high end valve equipment together with intricate beat programming, Delectable bring you a collection of the finest percussive loops that can be mixed and matched to create endless combinations, guaranteed to add an infectious groove to any track whether you produce HOUSE , ELECTRO , ELECTRO HOUSE , Techno, Tech- HOUSE and Minimal.
Vote, and then, in comments leave a review, if you want or you can spend a few minutes ... .. go to expression ...
All 8 bar loops represented as properly side chained using kick drums allowing them space within a mix. All peaks represented as limited and leveled using our new custom processing, using our analog valve-state outboard hardware to bring a natural and punchy characteristic to every loop. We then process the loops further through our favorite and brutal Manley Massive, Stereo Tube EQ.
Total Tech Tops is the ultimate groove library for any dance music producer, demanding total control of their rhythm tracks.
958 Views


text:
Thursday, October 13, 2011
Thursday Hops
Hi Everyone,
If you would like to add a blog hop, please use the contact me form!
In order to be added to the blog hop directory, you must have a blog hop on your blog! You can sign up for a free linky tool at InLinkz.
Everyday Blog Hops
Everyday Memes
Everyday Giveaway Linkies
Monthly Blog Hops
Monthly Memes
Monthly Giveaway Linkies
Thursday Blog Hops
Thursday Memes
Thursday Giveaway Linkies
Posted by Bonny Sallee at 10/13/2011 01:30:00 AM
Labels: Blog Hops, Thursday Hops
1 Awesome Comments! Thanks for visiting!:
- Josh said...
Hi, I'd like to invite you to post your giveaways on our giveaway directory: Giveaway Scout (http://www.giveawayscout.com). Please submit your blog here: http://www.giveawayscout.com/addblog/ and once you receive our confirmation email you can post as many giveaways as you want. thanks, Josh
- 9:12 AM, October 13, 2011
Subscribe to: Post Comments (Atom)


text:
14.09 acres in Johnson County, Kansas
Great Location****PRIME DEVELOPMENT PROPERTY. Highly sought after 15 acres in Overland Park.****High Accessibility****Zoned Light Industrial****Busy street traffic across from upscale subdivision Leabrooke. Perfect location for Medical building, business, storage facility, retail or warehouse. 5 minutes from shopping areas. Call listing agent for more details. Great Investment Possibilities.
135th Street to State Line Road and turn South on Kenneth Road, property is on the East side of the road.
Tax Data (Show Tax Data)
Tax data is not available for this listing.
Contact the Agent for more information.
Contact Agent
Fill out this form to contact Agent about this property
Gary Hosack
Crown Realty
102 S. Silver
Paola, KS 66071
Other Land for Sale from
NOTE: The information contained herein is provided as general information only and has been obtained from sources deemed reliable. It is provided without any guaranty, warranty or representation, expressed or implied, made by Lands of America, or any related entity, as to the accuracy or completeness of the information. The information is presented subject to errors, omissions, change of price or conditions, prior sale or withdrawal without notice. Prospective purchasers should make their own investigations, projections and conclusions concerning the information.