I'm a studentI'm an educator

Global Business Analytics Models: Concepts and Applications in Predictive, Healthcare, Supply Chain, and Finance Analytics, 1st edition

Published by Pearson FT Press (March 5, 2016) © 2016

  • Hokey Min
Products list
$75.99
Buy nowOpens in a new tab
Sold by InformIT and ebook resellers
  • Available for purchase from all major ebook resellers, including InformIT.com
Products list
$63.99

Price Reduced From: $79.99

Details

  • A print text
  • Free shipping
  • Also available for purchase as an ebook from all major ebook resellers, including InformIT.com

Business analytics can help you manage the accelerating risk and uncertainty associated with today’s global business environments. In Global Business Analytics Models, Hokey Min empowers managers to use today’s analytical tools and techniques to gain reliable, actionable international business intelligence, and to solve many of the most urgent problems their global businesses face.

Min offers a practical, easy-to-understand overview of business analytics in a global context, focusing especially on managerial and strategic implications. After demystifying the basic quantitative tools of modern analytics, he demonstrates them at work in global applications ranging from finance and supply chain management to healthcare. Coverage includes:

  • Developing analytic thinking, and operationalizing Big Data in global environments
  • Capitalizing on business analytics to build a winning global strategy
  • Collecting, sorting, prioritizing, storing, and managing data
  • Predicting international customer behavior, segmenting global markets, and forecasting demand in unfamiliar foreign markets
  • Performing international risk and assessments more effectively
  • Using analytics to help plan the financing of global business operations
  • Integrating international social and mobile analytics
  • Overcoming cultural and technical differences that complicate the use of analytics in global firms
  • Establishing effective performance metrics for your use of analytics
  • Taming Big Data for global Enterprise Resource Planning (ERP)
  • Making better decisions about global suppliers, manufacturing, distribution, transportation, and supply chain resilience
  • Analyzing clinical, pharmaceutical, and patient behavior data to improve healthcare
  • Anticipating future paths of innovation in global business analytics

Chapter 1: Introduction to Business Analytics 1

1.1 The Origin and Evolution of Business Analytics 1

1.2 Developing Analytical Thinking 4

1.3 Operationalizing Big Data from Global Perspectives 6

1.4 Extracting Useful Information from Big Data 9

1.5 Unique Challenges for Business Analytics 13

1.6 Capitalizing on Business Analytics for Building a Winning Global Strategy 15

Chapter 2: Collecting, Sorting, Prioritizing, and Storing Big Data 21

2.1 Finding and Capturing the Right Data 21

2.2 Data Sampling 23

2.3 Data Preparation 25

2.4 Data Segmentation 27

2.5 Data Filtering 29

2.6 Data Warehousing 31

2.7 Data Security 35

2.8 Fitting Analytics Models to Data 37

Chapter 3: Business Analytics Models 43

3.1 Quantitative Tools for Business Analytics 43

3.2 Basic Statistical Techniques 45

3.3 R Programming 48

3.4 Hypothesis Testing 49

3.4.1 t-Test 50

3.4.2 ANOVA Test 52

3.4.3 Nonparametric Test 52

3.5 Power Analysis 54

3.6 Data Mining 55

3.6.1 Decision Trees 56

3.6.2 Neural Networks 57

3.6.3 Text Mining 60

3.6.4 Image Mining 62

Chapter 4: Predictive Analytics 67

4.1 Predicting International Customer Behavior 67

4.2 Demand Forecasting in Unfamiliar Foreign Markets 68

4.2.1 Moving Average 69

4.2.2 Exponential Smoothing 70

4.2.3 Trend Analysis 72

4.2.4 Focus Forecasting 73

4.2.5 Agent-Based Forecasting 75

4.3 Global Market Basket Analysis 76

4.4 Risk Analytics 79

4.5 Digital Analytics 81

4.6 Social Sensing 83

4.7 Mobile Analytics 85

Chapter 5: Essentials for the Successful Implementation of Business Analytics 93

5.1 Understanding the Voice of Overseas Customers 93

5.2 Collaborating with Foreign Business Partners for Sharing Big Data 95

5.2.1 Building Trust 96

5.2.2 Establishing an Information Exchange Mechanism 96

5.2.3 Ensuring Secure Data Transmission 97

5.3 Analytics Execution and Implementation 98

5.4 Performance Measurement and Metrics 100

5.5 Outcome Analysis 102

5.6 Corrective Actions 103

5.7 Emulating Best-in-Class Practices 105

Chapter 6: Global Finance Analytics 109

6.1 Foreign Market Scenario Planning 109

6.2 Financing Global Business Operations through Capital Management 111

6.3 Global Financial Risk Assessment 113

6.3.1 Foreign Direct Investment Risk Analysis 114

6.3.2 Loan and Credit Risk Assessment 116

6.3.3 Liquidity Risk Assessment 117

6.3.4 Foreign Currency Exchange Risk Assessment 118

6.3.5 Value at Risk (VaR) as the Financial Risk Measure 121

6.4 Foreign Investment Portfolio Analysis 124

6.5 Product/Service Pricing Using Analytics 126

6.6 Multinational Profit Planning and Budgeting Using Analytics 128

Chapter 7: Global Supply Chain Analytics 135

7.1 Turning Integrated Big Data into Supply Chain Intelligence 135

7.2 Global Sales and Promotion Analytics 137

7.3 Global Sourcing Analytics 140

7.4 Contract Manufacturing Analytics 142

7.5 Distribution Analytics 145

7.6 Transportation Analytics 147

7.7 Integrating Functional Analytics into Global Supply Chain Management 151

Chapter 8: Healthcare Analytics 159

8.1 Healthcare Analytics as an Emerging Discipline 159

8.2 Big Data in Healthcare 161

8.3 Analyzing Clinical and Pharmaceutical Data 164

8.4 Analyzing the Voice of the Patient 167

8.5 Healthcare Quality Function Deployment via Analytics 169

8.6 Healthcare Outcome Analysis 171

Chapter 9: Future of Business Analytics 177

9.1 Innovating Analytics 177

9.2 Embedding Business Analytics into Enterprise-wide Information Systems 180

9.3 Future Roles of Business Analytics in Global Business Intelligence 181

9.4 Epilogue 183

Index 187

Need help? Get in touch