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Using a Metro-Ethernet project to address IQ challenges with technology

The use of current information technology practices to improve and maintain Information Quality (IQ) standards from a financial and business support perspective continues to be an ongoing challenge. Many financial institutions are losing market share because they are not addressing IQ challenges with current technology practices and because they view IQ not as a product, but as a cost. “To treat information as a product, a company must follow four principles: 1. Understand consumers’ information needs, 2. Manage information as the product of a well-defined production process....” [3] Many middle and senior managers do not understand technology and are quickly overwhelmed with “techno talk” or “nerd speak”. “In fact, data quality seems to be a hazy concept, but the lack of data quality severely hampers the ability of organizations to effectively accumulate and manage enterprise-wide knowledge. It is the responsibility of IQ data researchers to educate decision makers that data quality is not an esoteric notion but something that can be quantified, measured, and improved, all with a strict focus on return on investment.” [1] Many institutions only upgrade technology as a result of vendor suggestions, broken systems, or outdated hardware/software. This “tail wagging the dog” philosophy leads to decreased employee and management satisfaction as well as reduced customer service. Furthermore, this philosophy becomes a circle of errors that begin with degraded/ineffective systems which then leads to unbudgeted/unplanned purchases, and which eliminates strategic planning which leads....you guess it, back to ineffective systems. The ultimate result of this cycle is that one of the most critical dimensions of IQ, data believability, is often irreparably damaged. Finally, an institution’s failure to embrace information quality as a product often leads directly to the perception that system data is not relevant and cannot be trusted.