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Overview: Numerous research and studies have concluded that data quality is the culprit cause of many failed data warehousing or Customer Relationship Management (CRM) projects. With the large price tags on these high-profile initiatives and the importance of accurate information to business intelligence, improving data quality has become a top management priority. This paper published by SAS Institute describes by integrating Extraction, Loading and Transformation (ETL) and data quality, a consistent, reliable view of organization ensures that critical decisions are based only on accurate information.
Profit Acceleration Strategies for Mid Sized Companies
IT budgets are tight, but there is no leeway when it comes to staying competitive and profitable.
Certain mid-sized organizations are experiencing record...
Impact Business Performance with BPM
To maximize your chances for success, you need the ability to continually optimize, streamline and align business processes to meet changing business needs for greater performance. Business process management (BPM) from IBM can help.
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