Titlebook: Business Intelligence Techniques; A Perspective from A Murugan Anandarajan,Asokan Anandarajan,Cadambi A. Book 2004 Springer-Verlag Berlin

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An OO Approach to Designing Business Intelligence Systems,s ever present. Consequently, support systems, technical or otherwise, must be up to the challenge of responding to the demands of their users by incorporating available accounting data. This chapter explains how organizations can use object-oriented analysis and design techniques to more effectivel

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Evaluating Business Intelligence: A Balanced Scorecard Approach, financial return on investment before undertaking a major investment. The return on investment in business intelligence (BI) such as data warehouses, data marts, reporting and query tools, and analytic applications are even more challenging to measure since many of the benefits are intangible. How

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A Stakeholder Model of Business Intelligence,plores the role of business intelligence in this new-form organization. It develops a model that positions business intelligence as the primary source of explicit knowledge within a stakeholder perspective, integrating with human and social capital (tacit knowledge sources). Stakeholder theory provi

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978-3-642-07403-5Springer-Verlag Berlin Heidelberg 2004

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Murugan Anandarajan,Asokan Anandarajan,Cadambi A. Combines a rather established area (accounting) with the fast developing field of business intelligence.Shows how to use information technology to improve traditional accounting methods, giving manage

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Analysis of the Expert Interviews,ugh the ancient civilizations, where clay and papyrus were used, to the invention of the first printing press in the fifteenth century to modern times. We focus on how accounting philosophy developed to take into account legal, competitive, and especially technological changes in the environment. Fr

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https://doi.org/10.1007/978-3-031-37462-3luate alternatives and make informed choices they must have reliable and timely data upon which to make their decisions. Consequently, the development of effective data management techniques is of central importance to an organization. Yet, many firms are learning that this is no easy task as they f