Embed data quality into the enterprise as a

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Unformatted text preview: he enterprise as a continuous process The goal of any enterprise data quality improvement program should be to “operationalize” data quality by embedding it into business operations, either implicitly through software automation running in the background, or explicitly by prompting users to take a lead. This means two things: first, the implementation of a methodology for embedding data quality into key aspects of the corporate IT infrastructure, and second, engendering broader business participation across all levels of the organization in the data quality process. It is critical for data quality projects to be monitored at regular intervals. A common mistake is to view data quality assessment as a one-time event. Projects should perform iterative data quality assessments throughout the development lifecycle. Designing a data quality scorecard is a good way to demonstrate the value proposition and justification for investing in and maintaining data quality management as a continuous long-term enterprise goal. The scorecard monitors and measures the performance of data quality initiatives on an ongoing basis across all processing streams, reflecting the effectiveness of the program and efficiency of its staff. It can provide long-term justification for continued funding and growth of data quality management. The scorecard can also help identify additional areas with an acute data quality improvement need that can help support an organization’s survival during a recession. Most importantly, it demonstrates the value of proactive data quality management. Improving data quality is a paradox There are many paradoxical angles that stem from the broader information paradox that IT has led to an explosion in availability of information yet there is less time available to develop intelligence and create knowledge from it. This is partly based on the “more-is-less” argument. Despite an abundance of data at their fingertips, decision-makers often feel ill-informed about customers, prospects, inventory, suppliers, and products because information is incorrect or outdated. At the same t...
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This document was uploaded on 12/31/2013.

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