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Loose Leaf for Forecasting and Predictive Analytics with Forecast X

Loose Leaf for Forecasting and Predictive Analytics with Forecast X PDF Author: J. Holton Wilson
Publisher: McGraw-Hill Education
ISBN: 9781260167078
Category : Business & Economics
Languages : en
Pages : 0

Book Description
Forecasting and Predictive Analytics, Seventh Edition, is the most practical forecasting book on the market with the most powerful software: ForecastX. This edition presents a broad-based survey of business forecasting methods, including subjective and objective approaches. The authors, Keating and Wilson, deliver practical how-to forecasting techniques, along with dozens of real-world data sets while holding theory and math to a minimum. Today, most business planning routinely begins with a sales forecast. Whether you are an accountant, a marketer, a human resources manager, a data scientist, or a financial analyst, sooner or later, you will have to predict something. This book is designed to lead students through the most helpful techniques to use in any prediction effort. New to This Edition•Four new chapters focus on predictive analytics, recognizing the importance of these tools in today's prediction efforts.•Examples of predictive analytics are based on historical data, much like what students may encounter in their own forecasts.•Techniques are explained as procedures, allowing students to replicate them with their own data.•All chapters now include Learning Objectives.•The ForecastX software sections are updated and clarified.Retained Features •Real-world data are used throughout the text, which consists almost entirely of real-world examples, showing readers how to deal with real-life problems and difficulties in a realistic environment.•Extended examples are presented in each chapter. Two examples are used to demonstrate the progression of techniques needed to solve each issue; these examples provide a realistic illustration of the concepts that are relevant to the student used in the text. One example features sales data from The Gap, whereas another example uses domestic car sales data.•By consistently providing all the data in Excel, the leading calculation software used in business, students recognize its compatibility with ForecastX software.•Screenshots of problems help students better conceptualize problems. The edition includes many screenshots of actual problems, and the data for each of these examples and problems are included in the accompanying ForecastX software. For Connect users, the free ReadAnywhere downloadable app is available on iOS and Android mobile devices. It gives students mobile freedom to access their ebook anywhere, even offline, on their smartphone or tablet. Once chapters are downloaded, students can use the same tools that are available in the ebook and any notes or highlights they make in the ebook will sync across platforms. Visit https://www.mheducation.com/highered/explore/readanywhere.html for more information.

Loose Leaf for Forecasting and Predictive Analytics with Forecast X

Loose Leaf for Forecasting and Predictive Analytics with Forecast X PDF Author: J. Holton Wilson
Publisher: McGraw-Hill Education
ISBN: 9781260167078
Category : Business & Economics
Languages : en
Pages : 0

Book Description
Forecasting and Predictive Analytics, Seventh Edition, is the most practical forecasting book on the market with the most powerful software: ForecastX. This edition presents a broad-based survey of business forecasting methods, including subjective and objective approaches. The authors, Keating and Wilson, deliver practical how-to forecasting techniques, along with dozens of real-world data sets while holding theory and math to a minimum. Today, most business planning routinely begins with a sales forecast. Whether you are an accountant, a marketer, a human resources manager, a data scientist, or a financial analyst, sooner or later, you will have to predict something. This book is designed to lead students through the most helpful techniques to use in any prediction effort. New to This Edition•Four new chapters focus on predictive analytics, recognizing the importance of these tools in today's prediction efforts.•Examples of predictive analytics are based on historical data, much like what students may encounter in their own forecasts.•Techniques are explained as procedures, allowing students to replicate them with their own data.•All chapters now include Learning Objectives.•The ForecastX software sections are updated and clarified.Retained Features •Real-world data are used throughout the text, which consists almost entirely of real-world examples, showing readers how to deal with real-life problems and difficulties in a realistic environment.•Extended examples are presented in each chapter. Two examples are used to demonstrate the progression of techniques needed to solve each issue; these examples provide a realistic illustration of the concepts that are relevant to the student used in the text. One example features sales data from The Gap, whereas another example uses domestic car sales data.•By consistently providing all the data in Excel, the leading calculation software used in business, students recognize its compatibility with ForecastX software.•Screenshots of problems help students better conceptualize problems. The edition includes many screenshots of actual problems, and the data for each of these examples and problems are included in the accompanying ForecastX software. For Connect users, the free ReadAnywhere downloadable app is available on iOS and Android mobile devices. It gives students mobile freedom to access their ebook anywhere, even offline, on their smartphone or tablet. Once chapters are downloaded, students can use the same tools that are available in the ebook and any notes or highlights they make in the ebook will sync across platforms. Visit https://www.mheducation.com/highered/explore/readanywhere.html for more information.

Forecasting and Predictive Analytics with ForecastX

Forecasting and Predictive Analytics with ForecastX PDF Author: Barry Keating
Publisher:
ISBN: 9781260167016
Category : Electronic books
Languages : en
Pages : 588

Book Description


FORECASTING AND PREDICTIVE ANALYTICS WITH FORECAST X (TM)

FORECASTING AND PREDICTIVE ANALYTICS WITH FORECAST X (TM) PDF Author: Barry Keating
Publisher:
ISBN: 9781260085235
Category : Business forecasting
Languages : en
Pages : 567

Book Description


Business Forecasting

Business Forecasting PDF Author: J. Holton Wilson
Publisher: Irwin/McGraw-Hill
ISBN: 9781259903915
Category : Business forecasting
Languages : en
Pages :

Book Description


Excel Sales Forecasting For Dummies

Excel Sales Forecasting For Dummies PDF Author: Conrad Carlberg
Publisher: John Wiley & Sons
ISBN: 1119291437
Category : Computers
Languages : en
Pages : 408

Book Description
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!

Inventory of Federal Archives in the States

Inventory of Federal Archives in the States PDF Author: Historical Records Survey (U.S.)
Publisher:
ISBN:
Category : Archives
Languages : en
Pages : 686

Book Description


Business Forecasting with Accompanying Excel-based Forecastx Software

Business Forecasting with Accompanying Excel-based Forecastx Software PDF Author: J. Holton Wilson
Publisher:
ISBN: 9780072312669
Category : Business forecasting
Languages : en
Pages : 0

Book Description


Superforecasting

Superforecasting PDF Author: Philip E. Tetlock
Publisher: Crown
ISBN: 080413670X
Category : Business & Economics
Languages : en
Pages : 331

Book Description
NEW YORK TIMES BESTSELLER • NAMED ONE OF THE BEST BOOKS OF THE YEAR BY THE ECONOMIST “The most important book on decision making since Daniel Kahneman's Thinking, Fast and Slow.”—Jason Zweig, The Wall Street Journal Everyone would benefit from seeing further into the future, whether buying stocks, crafting policy, launching a new product, or simply planning the week’s meals. Unfortunately, people tend to be terrible forecasters. As Wharton professor Philip Tetlock showed in a landmark 2005 study, even experts’ predictions are only slightly better than chance. However, an important and underreported conclusion of that study was that some experts do have real foresight, and Tetlock has spent the past decade trying to figure out why. What makes some people so good? And can this talent be taught? In Superforecasting, Tetlock and coauthor Dan Gardner offer a masterwork on prediction, drawing on decades of research and the results of a massive, government-funded forecasting tournament. The Good Judgment Project involves tens of thousands of ordinary people—including a Brooklyn filmmaker, a retired pipe installer, and a former ballroom dancer—who set out to forecast global events. Some of the volunteers have turned out to be astonishingly good. They’ve beaten other benchmarks, competitors, and prediction markets. They’ve even beaten the collective judgment of intelligence analysts with access to classified information. They are "superforecasters." In this groundbreaking and accessible book, Tetlock and Gardner show us how we can learn from this elite group. Weaving together stories of forecasting successes (the raid on Osama bin Laden’s compound) and failures (the Bay of Pigs) and interviews with a range of high-level decision makers, from David Petraeus to Robert Rubin, they show that good forecasting doesn’t require powerful computers or arcane methods. It involves gathering evidence from a variety of sources, thinking probabilistically, working in teams, keeping score, and being willing to admit error and change course. Superforecasting offers the first demonstrably effective way to improve our ability to predict the future—whether in business, finance, politics, international affairs, or daily life—and is destined to become a modern classic.

Forecasting and Predictive Analytics

Forecasting and Predictive Analytics PDF Author: Keating
Publisher:
ISBN: 9789390219469
Category :
Languages : en
Pages : 0

Book Description


Energy Research Abstracts

Energy Research Abstracts PDF Author:
Publisher:
ISBN:
Category : Power resources
Languages : en
Pages : 1550

Book Description