Book description
Key Business Analytics will help managers apply tools to turn data into insights that help them better understand their customers, optimise their internal processes and identify cost savings and growth opportunities.
Table of contents
- Cover
- Title page
- Contents
- About the author
- Introduction
-
PART ONE Bare analytics
- 1 Business experiments/experimental design/AB testing
- 2 Visual analytics
- 3 Correlation analysis
- 4 Scenario analysis
- 5 Forecasting/time series analysis
- 6 Data mining
- 7 Regression analysis
- 8 Text analytics
- 9 Sentiment analysis
- 10 Image analytics
- 11 Video analytics
- 12 Voice analytics
- 13 Monte Carlo simulation
- 14 Linear programming
- 15 Cohort analysis
- 16 Factor analysis
- 17 Neural network analysis
- 18 Meta-analytics – literature analysis
- PART TWO Analytics input tools or data collection methods
- PART THREE Financial analytics
- PART FOUR Market analytics
- PART FIVE Customer analytics
- PART SIX Employee analytics
- PART SEVEN Operational analytics
- What did you think of this book?
- Index
- Endorsements
- Imprint page
Product information
- Title: Key Business Analytics
- Author(s):
- Release date: February 2016
- Publisher(s): FT Publishing International
- ISBN: 9781292017464
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