Key Business Analytics

Description

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

Bernard Marr is a leading global authority on organisational performance & business success. He regularly advises organisations & governments across the globe & is an acclaimed, award-winning keynote speaker, researcher, consultant & teacher. He’s acknowledged by the CEO Journal as one of today’s leading business brains.

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.

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.

A VITAL INSIGHT TO ANALYTICS FOR EVERY BUSINESS

 

Analytics are essential in any modern business. They help you make better decisions, develop your strategy and identify growth opportunities in business.

 

Key Business Analytics provides easy access to the most powerful analytics tools. Whether you are a busy manager, business analyst or data professional, you can unlock the insights behind the data and improve your business performance.

 

Covering over 60 approaches, this jargon-busting book provides a practical overview of analytics tools and explains how to use them. It will help you to understand some of the most valuable analytics techniques, the areas in business to apply them to and how to turn data into insights. From scenario analysis to data mining, learn how to interpret your data and transform the way you make business decisions. It’s the essential guide for every manager.

 

Additional information

Dimensions	0.60 × 6.10 × 9.10 in
Imprint	FT Publishing International
Format	gen
ISBN-13	09781292017433
ISBN-10	1292017430
Author	Bernard Marr
BISAC	BUS061000, BUS063000
Subjects	BUS063000, higher education, Vocational / Professional Studies, General Vocational / Professional, BUS061000