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Cloud Based Extensible Business Management Suite and Data Predictions



The present research work was carried out using an enhanced market prediction
algorithm in the cloud-based business, handing out the CRM system. The approach that is
being predicted will handle and forecast the business with a higher degree of precision and constancy,
the outcome solution of which is found to be compatible with any organization.



The CRM framework was proposed in order to overcome the lack of multi-module integration
and functionalities. The developed application is a complete tool for the purpose of managing
the business over cloud. The business owner can host this application on any user interface PHP- and
MySQL-enabled server. An optimized regression model was developed to predict the future of business
and relationship with the customer. For the experimental test, a sample dataset was collected
from the UCI machine learning repository.



The proposed prediction algorithm is an extension of the time series–based forecasting
model. The projected system is tested with the income and expense cluster data of one year that were
projected for analysis and the result shows better accuracy and constancy than the traditional opportunity
creation driven model.



 It has been observed that the proposed Cloud-Based CRM Framework supports the
organizations to achieve business predictions and maintain healthy relations with their clients and has
worked best for the companies that have to maintain customer end relations. In addition, the customized
CRM tool helps business managers and entrepreneurs to define innovative business strategies.
The CRM application influences customer satisfaction on a large scale and is dominant for the supply
chain system. Overall, the business model indicates that corporate organizations could grab business
insights in a cost-efficient way with upcoming forecasting of sales.



Customer Relationship Management (CRM) is a technology used by the corporate sector
to manage potential customers and their experiences in the view of the seller to consumer through
purchase and post-purchase. In this era of advanced information technology, the sales departments of
multi-product and service-end businesses are struggling hard in order to attain the signal view of the
business. The key criterion for business-boosting decisions includes a single dashboard interface with
a description of relevant information. The biggest challenge for businesses with umbrella views is to
combine the data from various places and obtain market forecasts from the description. The deficiency
in data collection and group management causes market loss or a lack of consumer interest in the
product.
