Data Warehouse Success and Strategic Oriented Business Intelligence: A Theoretical Framework

Abstract

With the proliferation of the datawarehouses as supportive decision making tools, organizations are increasinglylooking forward for a complete data warehouse success model that would managethe enormous amounts of growing data. It is therefore important to measure thesuccess of these massive projects. While general IS success models havereceived great deals of attention, few research has been conducted to assessthe success of data warehouses for strategic business intelligence purposes.The framework developed in this study consists of the following nine measures:Vendors and Consultants, Management Actions, System Quality, InformationQuality, Data Warehouse Usage, Perceived utility, Individual Decision MakingImpact, Organizational Decision Making Impact, and Corporate Strategic GoalsAttainment.