For Business Process Professionals

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	January 3, 2008 Information Managers: Deliver Trusted Data With A Focus On Data Quality by Rob Karel with Kyle McNabb, Connie Moore, Norman Nicolson	Average: 9  (7 ratings)

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Executive Summary

Information managers have gone through ten or more years of underperforming CRM, ERP, data warehousing (DW), and business intelligence (BI) initiatives. These projects' want of success often shares the same root cause: lack of business user confidence in the data captured, managed, and consumed by these applications. Over the past seven years, leading vendors in the enterprise apps, data integration, and BI markets have actively acquired data quality, data profiling, and master data management technologies in the hope of providing their customers with more comprehensive data management solutions. At the same time, new data quality products have entered the market, targeted at specific geographies, data domains, and delivery methods. Data quality technology has matured, and information managers must now take care to adopt appropriate data governance practices and identify the right technology to help them evolve from after-the-fact cleansing of siloed systems to providing proactive, real-time data quality services.

TABLE OF CONTENTS

• Data Quality Relies On Effective Enterprise Data Governance
• Technology Providers Bring Data Quality Software To The Enterprise
• Only A Handful Of Data Quality Vendors Can Stand Up To Enterprise Challenges

RECOMMENDATIONS

• Consider Data Quality Solutions To Support Cross-Enterprise Quality Demands
• Related Research Documents

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