Business Analytics for Managers Taking Business Intelligence Beyond Reporting 1st Edition by Gert Laursen, Jesper Thorlund ISBN 0470901152 9780470901151

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Product details:

ISBN 10: 0470901152 
ISBN 13: 9780470901151
Author: Gert Laursen, Jesper Thorlund

A vital blueprint for organizations that want to thrive in the competitive fray, Business Analytics for Managers presents a sustainable business analytics (BA) model focusing on the interaction of IT technology, strategy, business processes, and a broad spectrum of human competencies and organizational circumstances.

• Proven guidance on developing an information strategy
• Tips for supporting your company’s ability to innovate in the future by using analytics
• An understanding of BA as a holistic information discipline with links to your business’s strategy
• 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

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.

Business Analytics for Managers: Taking Business Intelligence Beyond Reporting 1st Table of contents:

Part 1: Foundations of Business Analytics

1. Understanding Business Analytics
   • Key Concepts in Business Analytics
   • The Role of Data in Decision Making
   • Business Intelligence vs. Business Analytics
2. Data-Driven Decision Making
   • The Importance of Data Quality
   • Data Governance and Ethics
   • Overcoming Common Data Challenges

Part 2: Descriptive Analytics: Understanding What Happened 3. Data Reporting and Dashboards

• Building Effective Dashboards
• Visualizing Data for Managers
• Best Practices in Reporting

4. Analyzing Historical Data
   • Descriptive Statistics in Business Analytics
   • Identifying Trends and Patterns
   • Key Performance Indicators (KPIs) and Metrics

Part 3: Predictive Analytics: Understanding What Might Happen 5. Predictive Modeling and Forecasting

• Introduction to Predictive Analytics
• Key Predictive Techniques: Regression and Classification
• Tools and Software for Predictive Analytics

6. Risk Management and Scenario Analysis
   • Managing Uncertainty with Predictive Analytics
   • Sensitivity Analysis and Monte Carlo Simulations
   • Evaluating Risks in Business Decisions

Part 4: Prescriptive Analytics: Understanding What Should Happen 7. Optimization and Decision Modeling

• Introduction to Prescriptive Analytics
• Linear Programming and Optimization Techniques
• Using Prescriptive Models to Make Strategic Decisions

8. Simulations and Heuristic Methods
   • Monte Carlo Simulations for Business Decision Making
   • Using Heuristic Methods for Complex Decisions
   • Applications in Operations and Supply Chain Management

Part 5: Advanced Analytics and Big Data 9. Big Data and Analytics

• The Rise of Big Data
• Tools and Techniques for Big Data Analysis
• Implementing Big Data Solutions in Business

10. Text Mining, Social Media Analytics, and Advanced Techniques

• Analyzing Unstructured Data
• Social Media Sentiment Analysis
• Natural Language Processing (NLP) for Business Analytics

Part 6: Business Analytics in Practice 11. Applying Analytics in Marketing

• Customer Segmentation and Targeting
• Predictive Analytics in Customer Behavior
• Marketing Campaign Optimization

12. Analytics in Operations and Supply Chain

• Optimizing Inventory and Supply Chain Processes
• Predictive Maintenance and Quality Control
• Using Analytics for Operational Efficiency

13. Financial Analytics and Performance Measurement

• Forecasting Financial Performance
• Risk Analysis and Financial Planning
• Integrating Business Analytics with Financial Management

Part 7: Implementing Business Analytics 14. Building an Analytics-Driven Organization

• Developing an Analytics Strategy
• Organizational Culture and Analytics
• Overcoming Resistance to Analytics

15. Tools, Software, and Resources for Managers

• Choosing the Right Analytics Tools
• Evaluating and Integrating Business Intelligence Platforms
• Training and Development for Analytics

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