Product Description
Recent technological advancements in data warehousing have been contributing to the emergence of business intelligence useful for managerial decision making.
Recent technological advancements in data warehousing have been contributing to the emergence of business intelligence useful for managerial decision making.
Progressive Methods in Data Warehousing and Business Intelligence: Concepts and Competitive Analytics presents the latest trends, studies, and developments in business intelligence and data warehousing contributed by experts from around the globe. Consisting of four main sections, this book covers crucial topics within the field such as OLAP and patterns, spatio-temporal data warehousing, and benchmarking of the subject.
About the Author
David Taniar received a PhD degree in databases from Victoria University (Australia, 1997). He is now a senior lecturer at Monash University (Australia). He has published more than 100 research articles and edited a number of books in the web technology series. He is in the editorial board of a number of international journals, including Data Warehousing and Mining, Business Intelligence and Data Mining, Mobile Information Systems, Mobile Multimedia, Web Information Systems, and Web and Grid Services. He has been elected as a fellow of the Institute for Management of Information Systems (UK).
David Taniar received a PhD degree in databases from Victoria University (Australia, 1997). He is now a senior lecturer at Monash University (Australia). He has published more than 100 research articles and edited a number of books in the web technology series. He is in the editorial board of a number of international journals, including Data Warehousing and Mining, Business Intelligence and Data Mining, Mobile Information Systems, Mobile Multimedia, Web Information Systems, and Web and Grid Services. He has been elected as a fellow of the Institute for Management of Information Systems (UK).
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