Excel at predicting sales and forecasting trends using Microsoft Excel! If you're a sales or marketing professional, you know that forecasting sales is one of the biggest challenges you face on the job. Unlike other books on the subject, Excel Sales Forecasting For Dummies, 2nd Edition leaves arcane business school terms and complex algebraic equations at the door, focusing instead on what you can do right now to utilize the world's most popular spreadsheet program to produce forecasts you can rely on.
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.
Choose the right forecasting method
Find relationships in your data
Predict seasonal sales
Filter lists or turn them into charts
Consider this guide your crystal ball-and start predicting the future with confidence and ease!
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Verlagsgruppe
Produkt-Hinweis
Broschur/Paperback
Klebebindung
Maße
Höhe: 235 mm
Breite: 191 mm
Dicke: 22 mm
Gewicht
ISBN-13
978-1-119-29142-8 (9781119291428)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Conrad Carlberg is a nationally recognized expert in quantitative analysis, data analysis, and management applications such as Microsoft Excel, SAS, and Oracle. He has been a sales engineer and also worked in product marketing. Conrad has written numerous books on Excel and other Microsoft Office applications. He holds a PhD in statistics.
Introduction 1
Part 1: Understanding Sales Forecasting and How Excel Can Help 5
Chapter 1: A Forecasting Overview 7
Chapter 2: Forecasting: The Basic Issues 23
Chapter 3: Understanding Baselines 41
Chapter 4: Predicting the Future: Why Forecasting Works 53
Part 2: Organizing the Data 69
Chapter 5: Choosing Your Data: How to Get a Good Baseline 71
Chapter 6: Setting Up Tables in Excel 87
Chapter 7: Working with Tables in Excel 103
Part 3: Making a Basic Forecast 119
Chapter 8: Summarizing Sales Data with Pivot Tables 121
Chapter 9: Charting Your Baseline: It's a Good Idea 141
Chapter 10: Forecasting with Excel's Data Analysis Add-in 159
Chapter 11: Basing Forecasts on Regression 173
Part 4: Making Advanced Forecasts 189
Chapter 12: Entering the Formulas Yourself 191
Chapter 13: Using Moving Averages 219
Chapter 14: Changing Horses: From Moving Averages to Smoothing 237
Chapter 15: Smoothing: How You Profit from Your Mistakes 259
Chapter 16: Fine-Tuning a Regression Forecast 285
Chapter 17: Managing Trends 311
Chapter 18: Same Time Last Year: Forecasting Seasonal Sales 329
Part 5: The Part of Tens 349
Chapter 19: Ten Fun Facts to Know and Tell about Array Formulas 351
Chapter 20: The Ten Best Excel Tools 363
Index 373
