Excel Sales Forecasting For Dummies can help you predict the future without incense or a crystal ball. Excel Sales Forecasting For Dummies shows you how to use the number one workbook program, Microsoft Excel, to predict trends and future sales based on something not quite so ethereal?
You use data about the past to forecast the future.
- Excel Sales Forecasting For Dummies, 2nd Edition.
- Excel Sales Forecasting For Dummies - O'Reilly Media.
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Excel provides all sorts of tools to help you do that, and this book shows you how to use them. From recognizing why forecasting is a good idea to making sense of exponential smoothing, Excel Sales Forecasting For Dummies has you covered. If you have a basic grasp of how to use Excel, you'll be ready to discover how to Select and use the right forecasting method for your business Choose and arrange data in lists, then manage that data with pivot tables Filter lists and turn them into charts that illustrate what's going on Find relationships in your data Use Excel's Analysis Toolpak feature to create forecasts automatically, or venture into advanced forecasts using worksheet functions Gain more control over your forecasting and target specific types of predictions Use moving averages and predict seasonal sales Written by Conrad Carlberg, a nationally recognized expert on Excel who also has experience in sales and marketing, this friendly guide gets you up and running quickly and easily.
Excel Sales Forecasting For Dummies, 2nd Edition - PDF eBook Free Download
You'll soon be setting up a baseline you can chart and label, summarizing data with pivot tables, making forecasts based on regression, understanding correlation, and discovering how smoothing lets us profit from our mistakes. You'll find your confidence in your ability to make sales predictions has soared right off the chart. Enter your mobile number or email address below and we'll send you a link to download the free Kindle App.
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Excel Sales Forecasting For Dummies Book Description:
Offer period 4th Sep to 30th Sep. Cashback within 10 days. From recognizing why forecasting is a good idea to making sense of exponential smoothing, Excel Sales Forecasting For Dummies has you covered.
Written by Conrad Carlberg, a nationally recognized expert on Excel who also has experience in sales and marketing, this friendly guide gets you up and running quickly and easily. Request permission to reuse content from this site. Excel Sales Forecasting For Dummies. Read an Excerpt Excerpt 3: Product not available for purchase.
Excel Sales Forecasting For Dummies
Description When they first told you that forecasting sales would be part of your job, did you feel just the tiniest bit of panic? Excel Sales Forecasting For Dummies can help you predict the future without incense or a crystal ball. This forecasting stuff works. As preparation for starting his consultancy, Carlberg spent two years as a sales engineer for a Fortune company.
Loaded with confidence boosters for anyone who succumbs to sweaty palms when sales predictions are mentioned, this trusted guide show you how to use the many tools Excel provides to arrange your past data, set up lists and pivot tables, use moving averages, and so much more. Before you know it, you'll become a forecaster par excellence even if numbers aren't your jam. Read more Read less. Save Extra with 1 offer. Customers who viewed this item also viewed.
Page 1 of 1 Start over Page 1 of 1. Advance Excel in Depth. Customers who bought this item also bought. From the Back Cover Choose, manage, and present data Select the right forecasting method for your business Use moving averages and predict seasonal sales Create sales forecasts you can trust You don't need magic, luck, or an advanced math degree to develop reliable sales forecasts; you just need Excel and this book! Prevent common issues Why baselines matter How to organize your data Tips on setting up tables Working with pivot charts How to forecast seasonal sales revenue Forecasting with regression About the Author Conrad Carlberg is a nationally recognized expert in quantitative analysis, data analysis, and management applications such as Microsoft Excel, SAS, and Oracle.
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