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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 | ||
| ||