Provided by:
University of Toledo
Topic:
Big Data
Format:
PDF
Business Intelligence (BI) offers great opportunities for strategic analysis of current and future business operations; however, existing BI tools typically provide data-oriented responses to queries, difficult to understand in terms of business objectives and strategies. To make BI data meaningful, the authors need a conceptual modeling language whose primitive concepts represent business objectives, processes, opportunities and threats. They have previously introduced such a language, the Business Intelligence Model (BIM). In this paper, they consolidate and rationalize earlier work on BIM, giving a precise syntax, reducing the number of fundamental concepts by using meta-attributes, and introducing the novel notion of \"Pursuit\".
