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Knowledge Transfer-based Recommendations to Enable Self-Service Business Intelligence

Abstract

The success of the enterprise depends heavily on its decisions. Therefore, companies use Business Intelligence (BI) systems to support managers in their decision making process. However, the acceptance and usage of BI systems by end-users (business users) don’t reach the expected goals. This is because of the high complexity and the irrelevance of delivered information. Business users can’t use these systems to get the right information without relying on power users. The financial and time costs behind the communication between business and power users are high. The goal of this work is to develop a new BI architecture to reduce the complexity of using BI systems and optimize their usage by business users. The proposed solution offers suggestions to business users during their navigation in BI systems. Offering suggestions helps inexperienced business users in performing complex analysis. This is done by transferring the knowledge of power users to business users.

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