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Tidsskrift
Bog, 2010
Foreword. Introduction. What Does BA Mean? Information Systems-Not Technical Solutions. Purpose and Audience. Organization of Chapters. Why the Term "Business Analytics"? Chapter 1 The Business Analytics Model. Overview of the Business Analytics Model. Deployment of the BA model. Conclusions. Chapter 2 Business Analytics at Strategic Level. Link Between Strategy And The Deployment Of Ba Strategy And Ba: Four Scenarios. Which Information Do We prioritize? Summary. Chapter 3 Development and Deployment of Information at the Functional Level. BA Case Study: A Trip To The Summerhouse. Establishing Business Processes With The Rockart Model. Example: Establishing New Business Processes With The Rockart Model. Optimizing Existing Business Processes. Example: Deploying Performance Management To Optimize Existing Processes. Which Process Should We Start With? A Catalogue Of Ideas With Kpis For The Company's Different. Functions Summary. Chapter 4 Business Analytics at the Analytical Level. Data, Information, And Knowledge. Analyst's Role In The Ba Model. Three Requirements The Analyst Must Meet. Required Competencies For The Analyst. Hypothesis-Driven Methods. Data Mining With Target Variables. Explorative Methods. Business Requirements. Summary. Chapter 5 Business Analytics at the Data Warehouse Level. Why A Data Warehouse? Architecture And Processes In A Data Warehouse. Tips And Techniques In Data Warehousing. Summary. Chapter 6 The Company's Collection of Source Data. What Are Source Systems, And What Can They Be Used For? Which Information Is Best To Use For Which Task? When There Is More Than One Way To Get The Job Done. When The Quality Of Source Data Fails. Summary. Chapter 7 Structuring of a Business Intelligence Competency Center. What Is A Busines
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