Key Business Analytics: The 60+ tools every manager needs to turn data into insights: - better understand customers, identify cost savings and growth opportunities

Author:   Bernard Marr
Publisher:   Pearson Education Limited
ISBN:  

9781292017433


Pages:   272
Publication Date:   03 February 2016
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Key Business Analytics: The 60+ tools every manager needs to turn data into insights: - better understand customers, identify cost savings and growth opportunities


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Overview

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.

Full Product Details

Author:   Bernard Marr
Publisher:   Pearson Education Limited
Imprint:   FT Publishing International
Dimensions:   Width: 15.80cm , Height: 1.60cm , Length: 23.50cm
Weight:   0.428kg
ISBN:  

9781292017433


ISBN 10:   1292017430
Pages:   272
Publication Date:   03 February 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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

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Author Information

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.

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