Key Business Analytics

<p></p> <p>Introduction&nbsp;&nbsp; </p> <p>The Raw Material - Data &nbsp;&nbsp; </p> <p>Data Types and Format </p> <p>How to use this book </p> <p>&nbsp;</p> <p>Part One: Bare Analytics &nbsp;&nbsp; </p> <p>&nbsp;</p> <p>1: Business Experiments / Experimental Design / AB testing </p> <p>2: Visual Analytics&nbsp;&nbsp; </p> <p>3: Correlation Analysis </p> <p>4: Scenario Analysis&nbsp; </p> <p>5: Forecasting / Time Series Analysis&nbsp;&nbsp; </p> <p>6: Data mining </p> <p>7: Regression Analysis </p> <p>8: Text Analytics </p> <p>9: Sentiment analysis </p> <p>10: Image Analytics&nbsp; </p> <p>11: Video Analytics </p> <p>12: Voice Analytics </p> <p>13: Monte Carlo Simulation&nbsp;&nbsp; </p> <p>14: Linear Programming </p> <p>15: Cohort Analysis&nbsp;&nbsp; </p> <p>16: Factor analysis </p> <p>17: Neural Network Analysis </p> <p>18: Meta Analytics - Literature Analysis &nbsp;&nbsp; </p> <p>&nbsp;</p> <p>The Part II: Analytics Input Tools or Data Collection Methods </p> <p>19: Quantitative Surveys&nbsp;&nbsp; </p> <p>20: Qualitative Surveys </p> <p>21: Focus Groups&nbsp;&nbsp; </p> <p>22: Interviews </p> <p>23: Ethnography </p> <p>24: Text Capture </p> <p>25: Image Capture</p> <p>26: Sensor Data </p> <p>27: Machine data capture &nbsp; </p> <p>&nbsp;</p> <p>Part Three: Financial Analytics&nbsp;&nbsp; </p> <p>28: Predictive sales analytics </p> <p>29: Customer Profitability analytics&nbsp; </p> <p>30: Product Profitability analytics </p> <p>31: Cashflow analytics </p> <p>32: Value Driver Analytics </p> <p>33: Shareholder value analytics </p> <p>34: Risk Reward Analytics </p> <p>35: Unmet need analytics&nbsp;&nbsp; </p> <p>36: Market Size Analytics&nbsp;&nbsp; </p> <p>37: Demand Forecasting </p> <p>38: Market Trend Analytics&nbsp;&nbsp; </p> <p>39: Non-customer analytics&nbsp; </p> <p>40: Competitor analytics </p> <p>41: Pricing analytics&nbsp; </p> <p>42: Marketing channel analytics </p> <p>43: Brand Analytics&nbsp;&nbsp; </p> <p>&nbsp;</p> <p>Part Five: Customer Analytics</p> <p>&nbsp;</p> <p>44: Customer satisfaction analysis&nbsp; </p> <p>45: Customer Lifetime Value Analytics </p> <p>46: Customer segmentation analytics&nbsp;&nbsp; </p> <p>47: Sales Channel Analytics&nbsp; </p> <p>48: Web Analytics&nbsp;&nbsp; </p> <p>49: Social Media Analytics </p> <p>50: Customer Engagement Analytics </p> <p>51: Customer Churn Analytics&nbsp;&nbsp; </p> <p>52: Customer acquisition analytics&nbsp;&nbsp; </p> <p>&nbsp;</p> <p>Part Six: Employee Analytics </p> <p>53: Capability Analytics&nbsp;&nbsp; </p> <p>54: Capacity Analytics </p> <p>55: Employee Churn Analytics&nbsp;&nbsp; </p> <p>56: Recruitment channel analytics&nbsp;&nbsp; </p> <p>57: Competency acquisition analytics </p> <p>58: Employee Performance Analytics </p> <p>59: Corporate culture analytics </p> <p>60: Leadership Analytics &nbsp;&nbsp; </p> <p>&nbsp;</p> <p>Part Seven: Operational Analytics </p> <p>61: Fraud Detection Analytics </p> <p>62. Core Competency Analytics </p> <p>63: Supply Chain Analytics&nbsp;&nbsp; </p> <p>64: Lean Six Sigma Analytics </p> <p>65. Capacity Utilisation Analytics </p> <p>66: Project and Program Analytics&nbsp; </p> <p>67. Environmental Impact Analytics </p> <p>68: Corporate Social Responsibility (CSR) Analytics </p> <p>&nbsp;</p> <p>Index</p> <p>&nbsp;</p>