Key business analytics : the 60+ business analysis tools every manager needs to know [printed text] / Bernard Marr, Author . - [S.l.] : Pearson Education Limited, 2016 . - xv, 259 ; 16mm.
ISBN : 978-1-292-01743-3 : €34.45
A vital insight into analytics for every business.

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

Key Business Analytics provides easy 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, the jargon-busting book provides a practical overview of analytics tools and explains how to use them. It will help you to understnd some of the most valuable analytics, techniques, the areas in business to apply them to and how to turn data into insights. From sceanarios 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.

Class number:

658.4013

Contents note:

Part 1: Bare analytics Chapter 1: Business experiments/experimental design/AB testing Chapter 2: Visual analytics Chapter 3: Correlation analysis Chapter 4: Sceanario analysis Chapter 5: Forecasting/time series analysis Chapter 6: Data mining Chapter 7: Regression analysis Chapter 8: Text analytics Chapter 9: Sentiment analysis Chapter 10: Image analytics Chapter 11: Video analyticcs Chapter 12: Voice analytics Chapter 13: Monte Carlo simulation Chapter 14: Linear programming Chapter 15: Cohort analysis Chapter 16: Factor analysis Chapter 17: Neural network analysis Chapter 18: Meta-analytics - literature analysis Part 2: Analytics input tools or data collection methods Chapter 19: Quantitative surveys Chapter 20: Qualitative surveys Chapter 21: Focus groups Chapter 22: Interviews Chapter 23: Ethnogrpahy Chapter 24: Text capture Chapter 25: Image capture Chapter 26: Sensor data Chapter 27: Machine data capture Part 3: Financial analytics Chapter 28: Predictive sales analytics Chapter 29: Customer prfitability analytics Chapter 30: Product profitability analytics Chapter 31: Cash flow analytics Chapter 32: Value driver analytics Chapter 33: Shareholer value analytics Part 4: Market analysis Chaptr 34: Unmet need analytics Chapter 35: Market size analytics Chapter 36: Demand forecasting Chapter 37: Market trend analytics Chapter 38: Non-customer analytics Chapter 39: Competitor analytics Chapter 40: Pricing analytics Chapter 41: Marketing channel analytics Chapter 42: Brand analytics Part 5: Customers analytics Chapter 43: Customer satisfaction analysis Chapter 44: Customer lifetime value analytics Chapter 45: Customer segmentation analytics Chapter 46: Sales channel analytics Chapter 47: Web analytics Chapter 48: Social media analytics Chapter 49: Customer engagement analytics Chapter 50: Customer churn analytics Chapter 51: Customer acquisition analytics Part 6: Employee analytics Chapter 52: Capability analytics Chapter 53: Capacity analytics Chapter 54: Employee churn analytics Chapter 55: Recruitment channel analytics Chapter 56: Competency acquisition analytics Chapter 57: Employee performance analytics Chapter 58: Corporate culture analytics Chapter 59: Leadership analytics Part 7: Operational analytics Chapter 60: Fraud detection analytics Chapter 61: Core competency analytics Chapter 62: Supply chain analytics Chapter 63: Lean Six Sigma analytics Chapter 64: Capacity utilisation analytics Chapter 65: Project and programme analytics Chapter 66: Environmental impact analytics Chapter 67: Corporate social responsibility CSR analytics