Fundamentals of Forecasting Using Excel

Fundamentals of Forecasting Using Excel
Author: Kenneth D. Lawrence
Publisher: Industrial Press Inc.
Total Pages: 212
Release: 2009
Genre: Business & Economics
ISBN: 9780831133351
GET BOOK

Download Fundamentals of Forecasting Using Excel Book in PDF, Epub and Kindle

Forecasting is an integral part of almost all business enterprises. This book provides readers with the tools to analyze their data, develop forecasting models and present the results in Excel. Progressing from data collection, data presentation, to a step-by-step development of the forecasting techniques, this essential text covers techniques that include but not limited to time series-moving average, exponential smoothing, trending, simple and multiple regression, and Box-Jenkins. And unlike other products of its kind that require either high-priced statistical software or Excel add-ins, this book does not require such software. It can be used both as a primary text and as a supplementary text. Highlights the use of Excel screen shots, data tables, and graphs. Features Full Scale Use of Excel in Forecasting without the Use of Specialized Forecast Packages Includes Excel templates. Emphasizes the practical application of forecasting. Provides coverage of Special Forecasting, including New Product Forecasting, Network Models Forecasting, Links to Input/Output Modeling, and Combination of Forecasting.

Excel Sales Forecasting For Dummies

Excel Sales Forecasting For Dummies
Author: Conrad Carlberg
Publisher: John Wiley & Sons
Total Pages: 394
Release: 2011-04-08
Genre: Computers
ISBN: 1118079930
GET BOOK

Download Excel Sales Forecasting For Dummies Book in PDF, Epub and Kindle

When they first told you that forecasting sales would be part of your job, did you feel just the tiniest bit of panic? Did you momentarily consider consulting the Yellow Pages for listings of “Psychics” or “Tea Leaf Readers”? Well, fear not. 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—numbers. You use data about the past to forecast the future. 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. 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.

Using Excel for Business Analysis

Using Excel for Business Analysis
Author: Danielle Stein Fairhurst
Publisher: John Wiley & Sons
Total Pages: 444
Release: 2015-05-18
Genre: Business & Economics
ISBN: 1119062462
GET BOOK

Download Using Excel for Business Analysis Book in PDF, Epub and Kindle

This is a guide to building financial models for business proposals, to evaluate opportunities, or to craft financial reports. It covers the principles and best practices of financial modelling, including the Excel tools, formulas, and functions to master, and the techniques and strategies necessary to eliminate errors.

How to Forecast Using Excel, R and MT4

How to Forecast Using Excel, R and MT4
Author: Fredrick Hammer
Publisher:
Total Pages: 172
Release: 2020-10-20
Genre:
ISBN:
GET BOOK

Download How to Forecast Using Excel, R and MT4 Book in PDF, Epub and Kindle

After showing what can be predicted in financial markets, the fundamentals of Forex market and how governments, banks and corporations affect it are shown. With that knowleddge, it is shown a way to forecast the direction of the market using Excel, R and MT4 programs.

Advances in Business and Management Forecasting

Advances in Business and Management Forecasting
Author: Kenneth D. Lawrence
Publisher: Emerald Group Publishing
Total Pages: 350
Release: 2014-11-20
Genre: Business & Economics
ISBN: 1784412082
GET BOOK

Download Advances in Business and Management Forecasting Book in PDF, Epub and Kindle

The objective of this research annual is to present state-of-the-art studies in the application of forecasting methodologies to such areas as sales, marketing and strategic decision making. It is the hope and direction of this research annual to become an applications and practitioner oriented publication.

Using Artificial Neural Networks for Timeseries Smoothing and Forecasting

Using Artificial Neural Networks for Timeseries Smoothing and Forecasting
Author: Jaromír Vrbka
Publisher: Springer Nature
Total Pages: 197
Release: 2021-09-04
Genre: Technology & Engineering
ISBN: 3030756491
GET BOOK

Download Using Artificial Neural Networks for Timeseries Smoothing and Forecasting Book in PDF, Epub and Kindle

The aim of this publication is to identify and apply suitable methods for analysing and predicting the time series of gold prices, together with acquainting the reader with the history and characteristics of the methods and with the time series issues in general. Both statistical and econometric methods, and especially artificial intelligence methods, are used in the case studies. The publication presents both traditional and innovative methods on the theoretical level, always accompanied by a case study, i.e. their specific use in practice. Furthermore, a comprehensive comparative analysis of the individual methods is provided. The book is intended for readers from the ranks of academic staff, students of universities of economics, but also the scientists and practitioners dealing with the time series prediction. From the point of view of practical application, it could provide useful information for speculators and traders on financial markets, especially the commodity markets.

Excel-Based Business Analysis

Excel-Based Business Analysis
Author: Ali Anari
Publisher: Springer Science & Business Media
Total Pages: 60
Release: 2012-02-02
Genre: Business & Economics
ISBN: 1461420504
GET BOOK

Download Excel-Based Business Analysis Book in PDF, Epub and Kindle

​“The trend is your friend”is a practical principle often used by business managers, who seek to forecast future sales, expenditures, and profitability in order to make production and other operational decisions. The problem is how best to identify and discover business trends and utilize trend information for attaining objectives of firms.This book contains an Excel-based solution to this problem, applying principles of the authors’ “profit system model” of the firm that enables forecasts of trends in sales, expenditures, profits and other business variables. The program, called FIRM, which runs on Windows with Microsoft Excel 2010, useshistorical time series of total sales, total costs, and total assets of the firm from its financial statements (income statements and balance sheets), estimates relationships among these variables, and then employs the estimated relationships to forecasts trends in these vital business variables. Featuring step-by-step case examples, the goal is to equip business managers and students with easy-to-use tools for understanding and forecasting trends in important business variables, thereby empowering them to make better business decisions.

Financial Planning Using Excel

Financial Planning Using Excel
Author: Sue Nugus
Publisher: Butterworth-Heinemann
Total Pages: 239
Release: 2009-02-16
Genre: Business & Economics
ISBN: 0080949835
GET BOOK

Download Financial Planning Using Excel Book in PDF, Epub and Kindle

This book covers all aspects of budget preparation, from designing and creating a budgetary control system, consolidating data and working with spreadsheets. Now fully updated to include the latest version of Excel, Excel 2007 and for easy budgeting. The book shows how things are done in Excel 2003 and Excel 2007 to ease transition from the previous version to the new version. Now in full colour throughout to aid quick understanding through numerous color screen shots. For those who use Excel on a daily basis in budget planning, this book is a must. It contains a wealth of practical examples, tips, new techniques all designed to help quickly exploit and master Excel to its full advantage and therefore use spreadsheets for more effective management accounting in your firm. covers migration from Excel 2003 to Excel 2007 showing how to do it in both versions new edition now in full colour through out to aid quick understanding practical examples, tips and techniques - exploit Excel 2007 for effective management accounting

Using Excel for Business Analysis

Using Excel for Business Analysis
Author: Danielle Stein Fairhurst
Publisher: John Wiley & Sons
Total Pages: 443
Release: 2015-03-17
Genre: Business & Economics
ISBN: 1119062454
GET BOOK

Download Using Excel for Business Analysis Book in PDF, Epub and Kindle

Utilise Excel 2013 capabilities to build effective financial models Using Excel for Business Analysis, Revised Edition provides practical guidance for anyone looking to build financial models. Whether for business proposals, opportunity evaluation, financial reports, or any other business finance application, this book shows you how to design, create, and test your model, then present your results effectively using Excel 2013. The book opens with a general guide to financial modelling, with each subsequent chapter building skill upon skill until you have a real, working model of your own. Financial tools, features, and functions are covered in detail from a practical perspective, and put in context with application to real-world examples. Each chapter focuses on a different aspect of Excel modelling, including step-by-step instructions that walk you through each feature, and the companion website provides live model worksheets that give you the real hands-on practice you need to start doing your job faster, more efficiently, and with fewer errors. Financial modelling is an invaluable business tool, and Excel 2013 is capable of supporting the most common and useful models most businesses need. This book shows you how to dig deeper into Excel's functionality to craft effective financial models and provide important information that informs good decision-making. Learn financial modelling techniques and best practice Master the formulas and functions that bring your model to life Apply stress testing and sensitivity analysis with advanced conditionals Present your results effectively, whether graphically, orally, or written A deceptively powerful application, Excel supports many hundreds of tools, features, and functions; Using Excel for Business Analysis eliminates the irrelevant to focus on those that are most useful to business finance users, with detailed guidance toward utilisation and best practice.

Industry Competitiveness: Digitalization, Management, and Integration

Industry Competitiveness: Digitalization, Management, and Integration
Author: Aleksei V. Bogoviz
Publisher: Springer Nature
Total Pages: 789
Release: 2020-02-24
Genre: Technology & Engineering
ISBN: 3030407497
GET BOOK

Download Industry Competitiveness: Digitalization, Management, and Integration Book in PDF, Epub and Kindle

This book, with contributions by both leading scholars and industry experts, provides a coherent framework for understanding complex determinants and patterns of industry competitiveness. Divided into eight parts, it covers both quantitative and qualitative research on the following topics: technologies, economic development, and human resources in Industry 4.0; management in the digital economy; artificial intelligence and knowledge management approaches; drivers of sustainable and innovative development in corporations; resilient and competitive systems in the energy sector; compliance and anti-corruption mechanisms; and competence networks and technological integration. Thanks to its highly stimulating discussions on the determinants and patterns of industry competitiveness, this book appeals to a wide readership.