経営分析入門<br>Getting Started with Business Analytics : Insightful Decision-Making

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経営分析入門
Getting Started with Business Analytics : Insightful Decision-Making

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  • 製本 Hardcover:ハードカバー版/ページ数 176 p.
  • 言語 ENG
  • 商品コード 9781439896532
  • DDC分類 658.4033

Full Description


Assuming no prior knowledge or technical skills, Getting Started with Business Analytics: Insightful Decision-Making explores the contents, capabilities, and applications of business analytics. It bridges the worlds of business and statistics and describes business analytics from a non-commercial standpoint. The authors demystify the main concepts and terminologies and give many examples of real-world applications. The first part of the book introduces business data and recent technologies that have promoted fact-based decision-making. The authors look at how business intelligence differs from business analytics. They also discuss the main components of a business analytics application and the various requirements for integrating business with analytics. The second part presents the technologies underlying business analytics: data mining and data analytics. The book helps you understand the key concepts and ideas behind data mining and shows how data mining has expanded into data analytics when considering new types of data such as network and text data. The third part explores business analytics in depth, covering customer, social, and operational analytics.Each chapter in this part incorporates hands-on projects based on publicly available data. Helping you make sound decisions based on hard data, this self-contained guide provides an integrated framework for data mining in business analytics. It takes you on a journey through this data-rich world, showing you how to deploy business analytics solutions in your organization.

Table of Contents

Foreword                                           ix
Preface xi
Acknowledgments xiii
I Introduction to Business Analytics 1 (38)
1 The Paradigm Shift 3 (14)
1.1 From Data to Insight 4 (3)
1.2 From Business Intelligence to 7 (6)
Business Analytics
1.3 Levels of "Intelligence" 13 (4)
2 The Business Analytics Cycle 17 (22)
2.1 Objective 18 (1)
2.2 Data 19 (3)
2.3 Analytic Tools and Methods 22 (1)
2.4 Implementation 22 (2)
2.5 Guiding Questions 24 (2)
2.6 Requirements for Integrating Business 26 (5)
Analytics
2.7 Common Questions 31 (8)
II Data Mining and Data Analytics 39 (64)
3 Data Mining in a Nutshell 41 (42)
3.1 What Is Data Mining? 41 (1)
3.2 Predictive Analytics 42 (22)
3.3 Forecasting 64 (4)
3.4 Optimization 68 (7)
3.5 Simulation 75 (8)
4 From Data Mining to Data Analytics 83 (20)
4.1 Network Analytics 83 (3)
4.2 Text Analytics 86 (17)
III Business Analytics 103 (60)
5 Customer Analytics 105 (24)
5.1 "Know Thy Customer" 110 (7)
5.2 Targeting Customers 117 (8)
5.3 Project Suggestions 125 (4)
6 Social Analytics 129 (18)
6.1 Customer Satisfaction 130 (5)
6.2 Mining Online Buzz 135 (7)
6.3 Project Suggestions 142 (5)
7 Operational Analytics 147 (16)
7.1 Inventory Management 147 (4)
7.2 Marketing Optimization 151 (2)
7.3 Predictive Maintenance 153 (4)
7.4 Human Resources & Workforce Management 157 (2)
7.5 Project Suggestions 159 (4)
Epilogue 163 (2)
Bibliography 165 (2)
Index 167