Practitioner's view of techniques used in data warehousing for sifting through data to provide information

Abstract

Over the past 10 years data warehousing evolved from providing `nice to know' data to `need to know' information. The decision support systems providing summarized reports to executives have advanced to integrated information factories providing vital information to the desktops of knowledge workers. Data warehousing has benefited through the use advanced techniques of sifting through data to produce information. This discussion will cover data mining techniques used in specific business cases as well as attempt to describe problems that still exist (and could be researched) in the business intelligence arena.