Cited By
View all- Petrini MPozzebon M(2018)Managing sustainability with the support of business intelligenceThe Journal of Strategic Information Systems10.1016/j.jsis.2009.06.00118:4(178-191)Online publication date: 14-Dec-2018
A practitioner's view of techniques used in data warehousing for sifting through data to provide information (keynote address)
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.
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- A practitioner's view of techniques used in data warehousing for sifting through data to provide information (keynote address)
Recommendations
Present and future directions in data warehousing
Many large organizations have developed data warehouses to support decision making. The data in a warehouse are subject oriented, integrated, time variant, and nonvolatile. A data warehouse contains five types of data: current detail data, older detail ...
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Published: 01 November 1999
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CIKM99: Conference on Information and Knowledge Management
November 2 - 6, 1999
Missouri, Kansas City, USA
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View all- Petrini MPozzebon M(2018)Managing sustainability with the support of business intelligenceThe Journal of Strategic Information Systems10.1016/j.jsis.2009.06.00118:4(178-191)Online publication date: 14-Dec-2018
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