Executive Summary (This is a document excerpt)

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.

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