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.

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

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.