Key Business Analytics

Description
Table of Contents

Key Business Analytics will help managers apply tools to turn data into insights that help them better understand their customers, optimize their internal processes and identify cost savings and growth opportunities.

It includes analysis techniques within the following categories:

Financial analytics – cashflow, profitability, sales forecasts
Market analytics – market size, market trends, marketing channels
Customer analytics – customer lifetime values, social media, customer needs
Employee analytics – capacity, performance, leadership
Operational analytics – supply chains, competencies, environmental impact
Bare business analytics – sentiments, text, correlations

Each tool will follow the bestselling Key format of being 5-6 pages long, broken into short sharp advice on the essentials:

What is it?
When should I use it?
How do I use it?
Tips and pitfalls
Further reading

This essential toolkit also provides an invaluable section on how to gather original data yourself through surveys, interviews, focus groups, etc.

Introduction

The Raw Material - Data

Data Types and Format

How to use this book

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

The Part II: Analytics Input Tools or Data Collection Methods

19: Quantitative Surveys

20: Qualitative Surveys

21: Focus Groups

22: Interviews

23: Ethnography

24: Text Capture

25: Image Capture

26: Sensor Data

27: Machine data capture

Part Three: Financial Analytics

28: Predictive sales analytics

29: Customer Profitability analytics

30: Product Profitability analytics

31: Cashflow analytics

32: Value Driver Analytics

33: Shareholder value analytics

34: Risk Reward Analytics

35: Unmet need analytics

36: Market Size Analytics

37: Demand Forecasting

38: Market Trend Analytics

39: Non-customer analytics

40: Competitor analytics

41: Pricing analytics

42: Marketing channel analytics

43: Brand Analytics

Part Five: Customer Analytics

44: Customer satisfaction analysis

45: Customer Lifetime Value Analytics

46: Customer segmentation analytics

47: Sales Channel Analytics

48: Web Analytics

49: Social Media Analytics

50: Customer Engagement Analytics

51: Customer Churn Analytics

52: Customer acquisition analytics

Part Six: Employee Analytics

53: Capability Analytics

54: Capacity Analytics

55: Employee Churn Analytics

56: Recruitment channel analytics

57: Competency acquisition analytics

58: Employee Performance Analytics

59: Corporate culture analytics

60: Leadership Analytics

Part Seven: Operational Analytics

61: Fraud Detection Analytics

62. Core Competency Analytics

63: Supply Chain Analytics

64: Lean Six Sigma Analytics

65. Capacity Utilisation Analytics

66: Project and Program Analytics

67. Environmental Impact Analytics

68: Corporate Social Responsibility (CSR) Analytics

Index