<p><i>Key Business Analytics</i>&nbsp;will help managers apply&nbsp;tools to turn data into insights that help them better understand their customers, optimise their internal processes and identify cost savings and growth opportunities.</p>

<p><i></i></p><p><i>Introduction&nbsp;&nbsp; </i></p><p><i></i><i>The Raw Material - Data &nbsp;&nbsp; </i></p><p><i>Data Types and Format </i></p><p><i>How to use this book </i></p><p><i>&nbsp;</i></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><i>Index</i></p><p>&nbsp;</p>

<p><i>Key Business Analytics</i> will help managers apply tools to turn data into insights that help them better understand their customers, optimize their internal processes and identify cost savings and growth opportunities. </p><p>&nbsp;</p><p>&nbsp;</p><p>It includes analysis techniques within the following categories:</p><ul> <li>Financial analytics &#8211; cashflow, profitability, sales forecasts  </li><li>Market analytics &#8211; market size, market trends, marketing channels  </li><li>Customer analytics &#8211; customer lifetime values, social media, customer needs  </li><li>Employee analytics &#8211; capacity, performance, leadership  </li><li>Operational analytics &#8211; supply chains, competencies, environmental impact  </li><li>Bare business analytics &#8211; sentiments, text, correlations</li></ul><p>Each tool will follow the bestselling Key format of being 5-6 pages long, broken into short sharp advice on the essentials:</p><ul> <li>What is it?  </li><li>When should I use it?  </li><li>How do I use it?  </li><li>Tips and pitfalls  </li><li>Further reading</li></ul><p>This essential toolkit also provides an invaluable section on how to gather original data yourself through surveys, interviews, focus groups, etc.</p>

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

<p><i>Key Business Analytics</i> 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.</p>

<p><i>Introduction&nbsp;&nbsp; </i></p><p><i></i><i>The Raw Material - Data &nbsp;&nbsp; </i></p><p><i>Data Types and Format </i></p><p><i>How to use this book </i></p><p><i>&nbsp;</i></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><i>Index</i></p>

<p><i>Key Business Analytics</i> will help managers apply tools to turn data into insights that help them better understand their customers, optimize their internal processes and identify cost savings and growth opportunities. </p><p>&nbsp;</p><p>It includes analysis techniques within the following categories:</p><ul> <li>Financial analytics &#8211; cashflow, profitability, sales forecasts   </li><li>Market analytics &#8211; market size, market trends, marketing channels   </li><li>Customer analytics &#8211; customer lifetime values, social media, customer needs   </li><li>Employee analytics &#8211; capacity, performance, leadership   </li><li>Operational analytics &#8211; supply chains, competencies, environmental impact   </li><li>Bare business analytics &#8211; sentiments, text, correlations</li></ul><p>Each tool will follow the bestselling Key format of being 5-6 pages long, broken into short sharp advice on the essentials:</p><ul> <li>What is it?   </li><li>When should I use it?   </li><li>How do I use it?   </li><li>Tips and pitfalls   </li><li>Further reading</li></ul><p>This essential toolkit also provides an invaluable section on how to gather original data yourself through surveys, interviews, focus groups, etc.</p>

Bernard Marr

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Key Business Analytics: The 60+ Tools Every Manager Needs To Turn Data Into Insights

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Key Business Analytics: The 60+ Tools Every Manager Needs To Turn Data Into Insights, 1st edition

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