RESEARCH & RESOURCES

TDWI Best Practices Reports

TDWI’s Best Practices Reports are designed to educate technical and business professionals about new business intelligence technologies, concepts, or approaches that address a significant problem or issue. Research for the Best Practices Reports is conducted via interviews with industry experts and leading-edge user companies, and is supplemented by a survey of business intelligence professionals.


TDWI Best Practices Report Q2 2007

TDWI Best Practices Report | BI Search and Text Analytics: New Additions to the BI Technology Stack

April 1, 2007

This report details how the expansion of the technology stack for business intelligence (BI) and data warehousing (DW) accommodates two relatively new additions, namely BI search and text analytics. Although each stands ably on its own, the two are related in that they tend to operate on unstructured data. Unstructured data is playing a larger role in BI and DW over time, and that role is today supported largely by tools and techniques for BI search and text analytics.


TDWI Best Practices Report Q1 2007

TDWI Best Practices Report | Predictive Analytics: Extending the Value of Your Data Warehousing Investment

January 1, 2007

This report is designed for the business or technical manager who oversees a business intelligence (BI) environment and wishes to learn the best practices and pitfalls of implementing a predictive analytics capability. The report defines predictive analytics as a form of BI that uncovers relationships and patterns, within large volumes of data, that can be used to predict future behavior and events. Unlike other BI technologies, predictive analytics is forward-looking, using past events to anticipate the future.


TDWI Best Practices Report | Master Data Management: Consensus-Driven Data Definitions for Cross-Application Consistency

October 23, 2006

Although MDM has long been done in a few isolated silo applications, companies now practice it in more silos and with more connections among silos. Forward-looking companies even practice enterprise MDM, with a broad scope across many applications and businesses. As with many data management practices, the general trend in MDM is toward broader and better integrated enterprise scope.


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