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Business analytics for managers : taking business intelligence beyond reporting


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Summary: "Many companies are unsure exactly what business analytics is and how it can be used to improve their performance. Much of the material currently in the marketplace is technical in nature. This book's focus is not on the technical aspects of business analytics but takes a business holistic approach. It provides an explanation of what business analytics is and how it should be important to people in sales, marketing, management, finance, HR, production as well as analysis and controlling. This book provides a business analytics model that focuses on the interaction of IT technology, strategy, business processes, and a broad spectrum of human competencies, organizational circumstances, and cooperation across the organization. This book will be comprised of nine chapters: (1) The Business Analytics Model; (2) Business Analytics at the Strategic Model; (3) Development and Deployment of Information at a Functional Level; (4) Business Analytics at an Analytical Level; (5) Business Analytics at the Data Warehouse Level; (6) The Company's Collection of Source Data; (7) The Structuring of a Business Intelligence Competency Center; (8) Assessment and Prioritization of Business Analytics Projects; and (9) Business Analytics in the Future."

Indhold

Seneste udgave,

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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