Business Analytics for Managers: Taking Business Intelligence Beyond Reporting [NOOK Book]

Overview

"While business analytics sounds like a complex subject, this book provides a clear and non-intimidating overview of the topic. Following its advice will ensure that your organization knows the analytics it needs to succeed, and uses them in the service of key strategies and business processes. You too can go beyond reporting!"—Thomas H. Davenport, President's Distinguished Professor of IT and Management, Babson College; coauthor, Analytics at Work: Smarter Decisions, Better Results

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Business Analytics for Managers: Taking Business Intelligence Beyond Reporting

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Overview

"While business analytics sounds like a complex subject, this book provides a clear and non-intimidating overview of the topic. Following its advice will ensure that your organization knows the analytics it needs to succeed, and uses them in the service of key strategies and business processes. You too can go beyond reporting!"—Thomas H. Davenport, President's Distinguished Professor of IT and Management, Babson College; coauthor, Analytics at Work: Smarter Decisions, Better Results

Deliver the right decision support to the right people at the right time

Filled with examples and forward-thinking guidance from renowned BA leaders Gert Laursen and Jesper Thorlund, Business Analytics for Managers offers powerful techniques for making increasingly advanced use of information in order to survive any market conditions.

Take a look inside and find:

  • Proven guidance on developing an information strategy
  • Tips for supporting your company's ability to innovate in the future by using analytics
  • Practical insights for planning and implementing BA
  • How to use information as a strategic asset
  • Why BA is the next stepping-stone for companies in the information age today
  • Discussion on BA's ever-increasing role

Improve your business's decision making. Align your business processes with your business's objectives. Drive your company into a prosperous future. Taking BA from buzzword to enormous value-maker, Business Analytics for Managers helps you do it all with workable solutions that will add tremendous value to your business.

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Product Details

  • ISBN-13: 9780470901175
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 6/15/2010
  • Series: Wiley Desktop Editions , #40
  • Sold by: Barnes & Noble
  • Format: eBook
  • Edition number: 1
  • Pages: 272
  • Sales rank: 1,405,500
  • File size: 3 MB

Meet the Author

GERT H.N. LAURSEN is head of customer intelligence at Maersk Line, the largest containerized shipping company in the world. He focuses on helping product-oriented organizations become more customer-centered through the use of various data sources, including data warehousing, questionnaires, and one-to-one interviews with customers, first-line staff, sales organizations, and other subject matter experts.

JESPER THORLUND is a business intelligence consultant and frequent speaker on business intelligence, business analytics, and microeconomics throughout Europe.

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Table of Contents

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.

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 Business Intelligence Competency Center?

Why Set Up A Business Intelligence Competency Center?

Tasks And Competencies.

Centralized Or Decentralized Organization.

When Should A Bicc Be Established?

Summary.

Chapter 8 Assessment and Prioritization of BA Projects.

Is It A Strategic Project Or Not?

Uncovering The Value Creation Of The Project.

When Projects Run Over Several Years.

When The Uncertainty Is Too Big.

Projects As Part Of The Bigger Picture.

Summary.

Chapter 9 Business Analytics in the Future.

Index.

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