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
Price: 38.55 USD
Location: Matraville, NSW
End Time: 2024-11-05T21:25:33.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 60 Days
Refund will be given as: Money Back
Return policy details:
EAN: 9781292017433
UPC: 9781292017433
ISBN: 9781292017433
MPN: N/A
Book Title: Key Business Analytics: The 60+ tools every manage
Number of Pages: 280 Pages
Publication Name: Key Business Analytics : the 60+ Tools Every Manager Needs to Turn Data Into Insights
Language: English
Publisher: Pearson Business
Item Height: 0.5 in
Publication Year: 2016
Subject: Total Quality Management, Education, General, Management, Strategic Planning, Statistics
Type: Textbook
Item Weight: 13.4 Oz
Item Length: 9.1 in
Subject Area: Business & Economics
Author: Bernard Marr
Item Width: 6.1 in
Format: Trade Paperback
