Details

Excel Sales Forecasting For Dummies


Excel Sales Forecasting For Dummies


2. Aufl.

von: Conrad Carlberg

21,99 €

Verlag: Wiley
Format: PDF
Veröffentl.: 23.06.2016
ISBN/EAN: 9781119291442
Sprache: englisch
Anzahl Seiten: 416

DRM-geschütztes eBook, Sie benötigen z.B. Adobe Digital Editions und eine Adobe ID zum Lesen.

Beschreibungen

<b>Excel at predicting sales and forecasting trends using Microsoft Excel!</b> <p>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, <i>Excel Sales Forecasting For Dummies, 2<sup>nd</sup> Edition</i> 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. <p>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. <ul> <li>Choose the right forecasting method</li> <li>Find relationships in your data</li> <li>Predict seasonal sales</li> <li>Filter lists or turn them into charts</li> </ul> <p>Consider this guide your crystal ball—and start predicting the future with confidence and ease!
<p>Introduction 1</p> <p><b>Part 1: Understanding Sales Forecasting and How Excel Can Help 5</b></p> <p>Chapter 1: A Forecasting Overview 7</p> <p>Chapter 2: Forecasting: The Basic Issues 23</p> <p>Chapter 3: Understanding Baselines 41</p> <p>Chapter 4: Predicting the Future: Why Forecasting Works 53</p> <p><b>Part 2: Organizing the Data 69</b></p> <p>Chapter 5: Choosing Your Data: How to Get a Good Baseline 71</p> <p>Chapter 6: Setting Up Tables in Excel 87</p> <p>Chapter 7: Working with Tables in Excel 103</p> <p><b>Part 3: Making a Basic Forecast 119</b></p> <p>Chapter 8: Summarizing Sales Data with Pivot Tables 121</p> <p>Chapter 9: Charting Your Baseline: It’s a Good Idea 141</p> <p>Chapter 10: Forecasting with Excel’s Data Analysis Add-in 159</p> <p>Chapter 11: Basing Forecasts on Regression 173</p> <p><b>Part 4: Making Advanced Forecasts 189</b></p> <p>Chapter 12: Entering the Formulas Yourself 191</p> <p>Chapter 13: Using Moving Averages 219</p> <p>Chapter 14: Changing Horses: From Moving Averages to Smoothing 237</p> <p>Chapter 15: Smoothing: How You Profit from Your Mistakes 259</p> <p>Chapter 16: Fine-Tuning a Regression Forecast 285</p> <p>Chapter 17: Managing Trends 311</p> <p>Chapter 18: Same Time Last Year: Forecasting Seasonal Sales 329</p> <p><b>Part 5: The Part of Tens 349</b></p> <p>Chapter 19: Ten Fun Facts to Know and Tell about Array Formulas 351</p> <p>Chapter 20: The Ten Best Excel Tools 363</p> <p>Index 373</p>
<p><b>Conrad Carlberg </b>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.</p>
<p>Choose, manage, and present data</p> <p>Select the right forecasting method for your business <p>Use moving averages and predict seasonal sales <p>Create <b>sales forecasts</b> you can trust <p>You don't need magic, luck, or an advanced math degree to develop reliable sales forecasts; you just need Excel and this book! This guide explains how forecasting works and how to use the tools built into Excel. You'll learn how to choose your data, set up tables, chart your baseline, to create both basic and advanced forecasts you can really use. <p>Inside... <ul><li>Prevent common issues</li> <li>Why baselines matter</li> <li>How to organize your data</li> <li>Tips on setting up tables</li> <li>Working with pivot charts</li> <li>How to forecast seasonal sales revenue</li> <li>Forecasting with regression</li></ul>

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