March 9, 2010

Data Quality Costs and Benefits

Explore the costs and benefits users and organizations realize through the adoption and implementation of Data Quality projects and initiatives.

Data Quality? Don't Waste your Time
British Telecom claims 1.1 Billion dollars in data quality-driven bottom line impact. Sources of Data Quality-specific ROI at British Telecom include: "1) Process improvement: Reduced costs of failure, Less scrap & rework, Enhanced productivity & morale. 2) CAPEX avoidance. 3) Improved asset utilization. 4) Revenue recovery & creation. 5) Better ROI in IT investments: Reduced in-life costs and Faster deployment of enhancements."
Nigel Turner & Dave Evans, British Telecom

Data Governance: In Practice and over Time
"A major issue facing the Corporation is the quality of data. Without accurate data, none of us - staff assistants, investment officers, financial officers, or senior management - can make educated decisions or manage risks. Not having accurate and timely data puts all of us at great risk from both an operational and a reputational perspective. Some groups within IFC have tried to address this problem already and have created pockets of clean data; however, this is not enough. We must have clean data throughout the Corporation." and "Quantifiable Results, in less than 2 years, 0k expense = file=phpcodes/resource_article.php million in corrected fee income and million in reimbursable expenses. Intangible Results: Reputation as an "honest broker", Delivered value to business and IT, and Business consensus was documented into policies endorsed by Management."
International Finance Corporation

Organizing for Data Quality
The Cost of Poor-Quality Data: "1) Sales/Marketing: Low customer satisfaction, Many address change requests, No trust/agreement in reporting. 2) Finance: Budgets take forever to get "right", Big budget/actual discrepancies, No trust/agreement in reporting. 3) Supply Chain: "Out-of-stock" situations, Poor-quality products, No trust/agreement in reporting. 4) IT: Large IT projects fail, Low usage of applications, No trust/agreement in reporting."
Andreas Bitterer, Gartner

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