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Analytics Stories : Using Data to Make Good Things Happen / / WinstonWayneL.著
| Analytics Stories : Using Data to Make Good Things Happen / / WinstonWayneL.著 |
| Autore | Winston Wayne L |
| Edizione | [1] |
| Pubbl/distr/stampa | Wiley, 2020 |
| Descrizione fisica | 1 online resource (xxix, 494 p.) : ill |
| Disciplina | 005.7 |
| Soggetto topico | Big data - Social aspects |
| ISBN |
1-119-64605-7
1-119-64604-9 1-119-64606-5 9781119646051 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I. What Happened? -- 1. Preliminaries -- 2. Was the 1969 Draft Lottery Fair? -- 3. Who Won the 2000 Election: Bush or Gore? -- 4. Was Liverpool Over Barcelona the Greatest Upset in Sports History? -- 5. How Did Bernie Madoff Keep His Fund Going? -- 6. Is the Lot of the American Worker Improving? -- 7. Measuring Income Inequality with the Gini, Palm, and Atkinson Indices -- 8. Modeling Relationships Between Two Variables -- 9. Intergenerational Mobility -- 10. Is Anderson Elementary School a Bad School? -- 11. Value-Added Assessments of Teacher Effectiveness -- 12. Berkeley, Buses, Cars, and Planes -- 13. Is Carmelo Anthony a Hall of Famer? -- 14. Was Derek Jeter a great fielder? -- 15. "Drive for show and putt for dough?" -- 16. What's wrong with the NFL QB rating? -- 17. Some sports have all the luck -- 18. Gerrymandering -- 19. Evidence-based medicine -- 20. How do we compare hospitals? -- 21. What is the worst health care problem in my country? -- Part II. What will happen? -- 22. Does a mutual fund's past performance predict future performance? -- 23. Is Vegas good a picking NFL games? -- 24. Will my new hires be good employees? -- 25. Should I go to State U or Princeton? -- 26. Will my favorite sports team be great next year? -- 27. How did central bankers fail to predict the 2008 recession? -- 28. How does Target know if you're pregnant? -- 29. How does Netflix recommend movies and TV shows? -- 30. Can we predict heart attacks in real time? -- 31. Is proactive policing effective? -- 32. Guess how many are coming to dinner? -- 33. Can prediction markets predict the future? -- 34. The ABCs of polling -- 35. How did Buzzfeed make the dress go viral? -- 36. Predicting Game of Thrones TV ratings -- Part III. Why did it happened? -- 37. Does smoking cause lung cancer? -- 38. Why are the Houston rockets a good basketball team? -- 39. Why have sacrifice bunts and intentional walks nearly disappeared? -- 40. Do NFL teams pass too much and go for it often enough on fourth down -- 41. What caused the 1854 London cholera outbreak? -- 42. What affects the sales of a retail product? -- 43. Why does the Pareto Principle explain so many things? -- 44. Does where you grow up matter? -- 45. The waiting is the hardest part -- 46. Are roundabouts a good idea? -- 47. Red light, green light, or no light? -- Part IV. How do I make good things happen? -- 48. How can we improve K-12 education? -- 49. Can A/B testing improve my website's performance? -- 50. How should I allocate my retirement portfolio? -- 51. How do hedge funds work? -- 52. How much should we order and when should we order? -- 53. How does the UPS driver know the order to deliver packages? -- 54. Can data win a Presidential election? -- 55. Can analytics save our republic? -- 56. Why do I pay too much on eBay? -- 57. Can analytics recognize, predict, or write a hit song? -- 58. Can an algorithm improve parole decisions? -- 59 How do baseball teams decide where to shift fielders? -- 60. Did analytics help the Mavericks win the 2011 NBA title? -- 61. Who gets the house in the Hampton's? -- Index. |
| Record Nr. | UNINA-9910819993603321 |
Winston Wayne L
|
||
| Wiley, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Marketing analytics : data-driven techniques with Microsoft Excel / / Wayne L Winston
| Marketing analytics : data-driven techniques with Microsoft Excel / / Wayne L Winston |
| Autore | Winston Wayne L |
| Pubbl/distr/stampa | Indianapolis, Indiana : , : John Wiley & Sons, Incorporation, , 2014 |
| Descrizione fisica | 1 recurso en línea (722 páginas) : ilustraciones |
| Disciplina | 658.80072 |
| Soggetto topico | Marketing research - Data processing |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-118-41730-5
1-118-43935-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Introduction; Part I Using Excel to Summarize Marketing Data; Chapter 1 Slicing and Dicing Marketing Data with PivotTables; Analyzing Sales at True Colors Hardware; Analyzing Sales at La Petit Bakery; Analyzing How Demographics Affect Sales; Pulling Data from a PivotTable with the GETPIVOTDATA Function; Summary; Exercises; Chapter 2 Using Excel Charts to Summarize Marketing Data; Combination Charts; Using a PivotChart to Summarize Market Research Surveys; Ensuring Charts Update Automatically When New Data is Added; Making Chart Labels Dynamic
Summarizing Monthly Sales-Force RankingsUsing Check Boxes to Control Data in a Chart; Using Sparklines to Summarize Multiple Data Series; Using GETPIVOTDATA to Create the End-of-Week Sales Report; Summary; Exercises; Chapter 3 Using Excel Functions to Summarize Marketing Data; Summarizing Data with a Histogram; Using Statistical Functions to Summarize Marketing Data; Summary; Exercises; Part II Pricing; Chapter 4 Estimating Demand Curves and Using Solver to Optimize Price; Estimating Linear and Power Demand Curves; Using the Excel Solver to Optimize Price Pricing Using Subjectively Estimated Demand CurvesUsing SolverTable to Price Multiple Products; Summary; Exercises; Chapter 5 Price Bundling; Why Bundle?; Using Evolutionary Solver to Find Optimal Bundle Prices; Summary; Exercises; Chapter 6 Nonlinear Pricing; Demand Curves and Willingness to Pay; Profit Maximizing with Nonlinear Pricing Strategies; Summary; Exercises; Chapter 7 Price Skimming and Sales; Dropping Prices Over Time; Why Have Sales?; Summary; Exercises; Chapter 8 Revenue Management; Estimating Demand for the Bates Motel and Segmenting Customers; Handling Uncertainty Markdown PricingSummary; Exercises; Part III Forecasting; Chapter 9 Simple Linear Regression and Correlation; Simple Linear Regression; Using Correlations to Summarize Linear Relationships; Summary; Exercises; Chapter 10 Using Multiple Regression to Forecast Sales; Introducing Multiple Linear Regression; Running a Regression with the Data Analysis Add-In; Interpreting the Regression Output; Using Qualitative Independent Variables in Regression; Modeling Interactions and Nonlinearities; Testing Validity of Regression Assumptions; Multicollinearity; Validation of a Regression; Summary ExercisesChapter 11 Forecasting in the Presence of Special Events; Building the Basic Model; Summary; Exercises; Chapter 12 Modeling Trend and Seasonality; Using Moving Averages to Smooth Data and Eliminate Seasonality; An Additive Model with Trends and Seasonality; A Multiplicative Model with Trend and Seasonality; Summary; Exercises; Chapter 13 Ratio to Moving Average Forecasting Method; Using the Ratio to Moving Average Method; Applying the Ratio to Moving Average Method to Monthly Data; Summary; Exercises; Chapter 14 Winter's Method; Parameter Definitions for Winter's Method Initializing Winter's Method |
| Record Nr. | UNINA-9910464768703321 |
|
Winston Wayne L
|
||
| Indianapolis, Indiana : , : John Wiley & Sons, Incorporation, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Marketing analytics : data-driven techniques with Microsoft Excel / / Wayne L Winston
| Marketing analytics : data-driven techniques with Microsoft Excel / / Wayne L Winston |
| Autore | Winston Wayne L |
| Pubbl/distr/stampa | Indianapolis, Indiana : , : John Wiley & Sons, Incorporation, , 2014 |
| Descrizione fisica | 1 recurso en línea (722 páginas) : ilustraciones |
| Disciplina | 658.80072 |
| Soggetto topico | Marketing research - Data processing |
| ISBN |
1-118-41730-5
1-118-43935-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Introduction; Part I Using Excel to Summarize Marketing Data; Chapter 1 Slicing and Dicing Marketing Data with PivotTables; Analyzing Sales at True Colors Hardware; Analyzing Sales at La Petit Bakery; Analyzing How Demographics Affect Sales; Pulling Data from a PivotTable with the GETPIVOTDATA Function; Summary; Exercises; Chapter 2 Using Excel Charts to Summarize Marketing Data; Combination Charts; Using a PivotChart to Summarize Market Research Surveys; Ensuring Charts Update Automatically When New Data is Added; Making Chart Labels Dynamic
Summarizing Monthly Sales-Force RankingsUsing Check Boxes to Control Data in a Chart; Using Sparklines to Summarize Multiple Data Series; Using GETPIVOTDATA to Create the End-of-Week Sales Report; Summary; Exercises; Chapter 3 Using Excel Functions to Summarize Marketing Data; Summarizing Data with a Histogram; Using Statistical Functions to Summarize Marketing Data; Summary; Exercises; Part II Pricing; Chapter 4 Estimating Demand Curves and Using Solver to Optimize Price; Estimating Linear and Power Demand Curves; Using the Excel Solver to Optimize Price Pricing Using Subjectively Estimated Demand CurvesUsing SolverTable to Price Multiple Products; Summary; Exercises; Chapter 5 Price Bundling; Why Bundle?; Using Evolutionary Solver to Find Optimal Bundle Prices; Summary; Exercises; Chapter 6 Nonlinear Pricing; Demand Curves and Willingness to Pay; Profit Maximizing with Nonlinear Pricing Strategies; Summary; Exercises; Chapter 7 Price Skimming and Sales; Dropping Prices Over Time; Why Have Sales?; Summary; Exercises; Chapter 8 Revenue Management; Estimating Demand for the Bates Motel and Segmenting Customers; Handling Uncertainty Markdown PricingSummary; Exercises; Part III Forecasting; Chapter 9 Simple Linear Regression and Correlation; Simple Linear Regression; Using Correlations to Summarize Linear Relationships; Summary; Exercises; Chapter 10 Using Multiple Regression to Forecast Sales; Introducing Multiple Linear Regression; Running a Regression with the Data Analysis Add-In; Interpreting the Regression Output; Using Qualitative Independent Variables in Regression; Modeling Interactions and Nonlinearities; Testing Validity of Regression Assumptions; Multicollinearity; Validation of a Regression; Summary ExercisesChapter 11 Forecasting in the Presence of Special Events; Building the Basic Model; Summary; Exercises; Chapter 12 Modeling Trend and Seasonality; Using Moving Averages to Smooth Data and Eliminate Seasonality; An Additive Model with Trends and Seasonality; A Multiplicative Model with Trend and Seasonality; Summary; Exercises; Chapter 13 Ratio to Moving Average Forecasting Method; Using the Ratio to Moving Average Method; Applying the Ratio to Moving Average Method to Monthly Data; Summary; Exercises; Chapter 14 Winter's Method; Parameter Definitions for Winter's Method Initializing Winter's Method |
| Record Nr. | UNINA-9910789128903321 |
|
Winston Wayne L
|
||
| Indianapolis, Indiana : , : John Wiley & Sons, Incorporation, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Marketing analytics : data-driven techniques with Microsoft Excel / / Wayne L Winston
| Marketing analytics : data-driven techniques with Microsoft Excel / / Wayne L Winston |
| Autore | Winston Wayne L |
| Pubbl/distr/stampa | Indianapolis, Indiana : , : John Wiley & Sons, Incorporation, , 2014 |
| Descrizione fisica | 1 recurso en línea (722 páginas) : ilustraciones |
| Disciplina | 658.80072 |
| Soggetto topico | Marketing research - Data processing |
| ISBN |
1-118-41730-5
1-118-43935-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Introduction; Part I Using Excel to Summarize Marketing Data; Chapter 1 Slicing and Dicing Marketing Data with PivotTables; Analyzing Sales at True Colors Hardware; Analyzing Sales at La Petit Bakery; Analyzing How Demographics Affect Sales; Pulling Data from a PivotTable with the GETPIVOTDATA Function; Summary; Exercises; Chapter 2 Using Excel Charts to Summarize Marketing Data; Combination Charts; Using a PivotChart to Summarize Market Research Surveys; Ensuring Charts Update Automatically When New Data is Added; Making Chart Labels Dynamic
Summarizing Monthly Sales-Force RankingsUsing Check Boxes to Control Data in a Chart; Using Sparklines to Summarize Multiple Data Series; Using GETPIVOTDATA to Create the End-of-Week Sales Report; Summary; Exercises; Chapter 3 Using Excel Functions to Summarize Marketing Data; Summarizing Data with a Histogram; Using Statistical Functions to Summarize Marketing Data; Summary; Exercises; Part II Pricing; Chapter 4 Estimating Demand Curves and Using Solver to Optimize Price; Estimating Linear and Power Demand Curves; Using the Excel Solver to Optimize Price Pricing Using Subjectively Estimated Demand CurvesUsing SolverTable to Price Multiple Products; Summary; Exercises; Chapter 5 Price Bundling; Why Bundle?; Using Evolutionary Solver to Find Optimal Bundle Prices; Summary; Exercises; Chapter 6 Nonlinear Pricing; Demand Curves and Willingness to Pay; Profit Maximizing with Nonlinear Pricing Strategies; Summary; Exercises; Chapter 7 Price Skimming and Sales; Dropping Prices Over Time; Why Have Sales?; Summary; Exercises; Chapter 8 Revenue Management; Estimating Demand for the Bates Motel and Segmenting Customers; Handling Uncertainty Markdown PricingSummary; Exercises; Part III Forecasting; Chapter 9 Simple Linear Regression and Correlation; Simple Linear Regression; Using Correlations to Summarize Linear Relationships; Summary; Exercises; Chapter 10 Using Multiple Regression to Forecast Sales; Introducing Multiple Linear Regression; Running a Regression with the Data Analysis Add-In; Interpreting the Regression Output; Using Qualitative Independent Variables in Regression; Modeling Interactions and Nonlinearities; Testing Validity of Regression Assumptions; Multicollinearity; Validation of a Regression; Summary ExercisesChapter 11 Forecasting in the Presence of Special Events; Building the Basic Model; Summary; Exercises; Chapter 12 Modeling Trend and Seasonality; Using Moving Averages to Smooth Data and Eliminate Seasonality; An Additive Model with Trends and Seasonality; A Multiplicative Model with Trend and Seasonality; Summary; Exercises; Chapter 13 Ratio to Moving Average Forecasting Method; Using the Ratio to Moving Average Method; Applying the Ratio to Moving Average Method to Monthly Data; Summary; Exercises; Chapter 14 Winter's Method; Parameter Definitions for Winter's Method Initializing Winter's Method |
| Record Nr. | UNINA-9910820317303321 |
|
Winston Wayne L
|
||
| Indianapolis, Indiana : , : John Wiley & Sons, Incorporation, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||