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What Counts provides a range of concepts and tools for entrepreneurs to engage analytics to better understand their business and the development of value.

 

486 pages

 

Section I: Analytics and Cognition

Chapter 1: An Overview of Analytics

Chapter 2: Organizational Intelligence and Learning

Chapter 3: Challenges to Organizational Intelligence

Section II: Data

Chapter 4: Data Sources

Chapter 5: Qualitative or Unstructured Data

Chapter 6: Quantitative Data

Section III: Descriptive Analytics

Chapter 7: Data Analysis without Statistics

Chapter 8: Descriptive Statistics

Section IV: Diagnostic Analytics

Chapter 9: Samples, Probability, and Inferential Reasoning

Chapter 10: The Z-test and the Logic of Statistical Tests

Chapter 11: The t-test

Chapter 12: The F-test

Chapter 13: The Chi-Square Test

Chapter 14: Regression Analysis

Chapter 15: Regression Analysis—Advanced Topics

Chapter 16: Forecasting

Section VI: Prescriptive Analytics Overview

Chapter 17: Optimization, Probabilistic Models, and Simulations

Chapter 18: Prescription and Classification

Conclusion

 

 

What Counts: Business Analytics for Entrepreneurs

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