Abstract
This chapter focuses on a technology for knowledge derivation, On-line Analytical Processing (OLAP). Decision makers frequently need high-level knowledge in order to make their decisions. What they often have is an abundance of raw data from transaction processing databases. OLAP is one technology that transforms raw data into higher-level knowledge useful to decision makers, thereby deriving new knowledge. The chapter first lays out a theoretical framework for knowledge derivation in a decision support context and then locates OLAP technologies within that framework. How OLAP technologies can work is described in detail. Some of the current products on the market are categorized and presented along the dimensions of data storage and data manipulation. Results of a recent survey of OLAP adoption are discussed. Two case studies are then presented demonstrating OLAP usefulness in a business decision context. The chapter ends with a discussion of current trends in the OLAP market and some predictions based upon the theoretical framework discussed in the early part of the chapter.
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