Key Business Analytics, Travel Edition
Autor Bernard Marren Limba Engleză Paperback – 5 noi 2015
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Specificații
ISBN-13: 9781292081779
ISBN-10: 1292081775
Pagini: 280
Dimensiuni: 216 x 139 x 18 mm
Greutate: 0.31 kg
Editura: Pearson Education
ISBN-10: 1292081775
Pagini: 280
Dimensiuni: 216 x 139 x 18 mm
Greutate: 0.31 kg
Editura: Pearson Education
Cuprins
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
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