predictive analytics microsoft excel

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Predictive Analytics

Author : Conrad Carlberg
ISBN : 9780132967259
Genre : Business & Economics
File Size : 58. 75 MB
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Excel predictive analytics for serious data crunchers! The movie Moneyball made predictive analytics famous: Now you can apply the same techniques to help your business win. You don’t need multimillion-dollar software: All the tools you need are available in Microsoft Excel, and all the knowledge and skills are right here, in this book! Microsoft Excel MVP Conrad Carlberg shows you how to use Excel predictive analytics to solve real-world problems in areas ranging from sales and marketing to operations. Carlberg offers unprecedented insight into building powerful, credible, and reliable forecasts, showing how to gain deep insights from Excel that would be difficult to uncover with costly tools such as SAS or SPSS. You’ll get an extensive collection of downloadable Excel workbooks you can easily adapt to your own unique requirements, plus VBA code—much of it open-source—to streamline several of this book’s most complex techniques. Step by step, you’ll build on Excel skills you already have, learning advanced techniques that can help you increase revenue, reduce costs, and improve productivity. By mastering predictive analytics, you’ll gain a powerful competitive advantage for your company and yourself. • Learn both the “how” and “why” of using data to make better tactical decisions • Choose the right analytics technique for each problem • Use Excel to capture live real-time data from diverse sources, including third-party websites • Use logistic regression to predict behaviors such as “will buy” versus “won’t buy” • Distinguish random data bounces from real, fundamental changes • Forecast time series with smoothing and regression • Construct more accurate predictions by using Solver to find maximum likelihood estimates • Manage huge numbers of variables and enormous datasets with principal components analysis and Varimax factor rotation • Apply ARIMA (Box-Jenkins) techniques to build better forecasts and understand their meaning

More Predictive Analytics

Author : Conrad Carlberg
ISBN : 9780134070933
Genre : Computers
File Size : 49. 27 MB
Format : PDF, Docs
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Accurate, practical Excel predictive analysis: powerful smoothing techniques for serious data crunchers! In More Predictive Analytics, Microsoft Excel® MVP Conrad Carlberg shows how to use intuitive smoothing techniques to make remarkably accurate predictions. You won’t have to write a line of code--all you need is Excel and this all-new, crystal-clear tutorial. Carlberg goes beyond his highly-praised Predictive Analytics, introducing proven methods for creating more specific, actionable forecasts. You’ll learn how to predict what customers will spend on a given product next year… project how many patients your hospital will admit next quarter… tease out the effects of seasonality (or patterns that recur over a day, year, or any other period)… distinguish real trends from mere “noise.” Drawing on more than 20 years of experience, Carlberg helps you master powerful techniques such as autocorrelation, differencing, Holt-Winters, backcasting, polynomial regression, exponential smoothing, and multiplicative modeling. Step by step, you’ll learn how to make the most of built-in Excel tools to gain far deeper insights from your data. To help you get better results faster, Carlberg provides downloadable Excel workbooks you can easily adapt for your own projects. If you’re ready to make better forecasts for better decision-making, you’re ready for More Predictive Analytics. Discover when and how to use smoothing instead of regression Test your data for trends and seasonality Compare sets of observations with the autocorrelation function Analyze trended time series with Excel’s Solver and Analysis ToolPak Use Holt's linear exponential smoothing to forecast the next level and trend, and extend forecasts further into the future Initialize your forecasts with a solid baseline Improve your initial forecasts with backcasting and optimization Fully reflect simple or complex seasonal patterns in your forecasts Account for sudden, unexpected changes in trends, from fads to new viral infections Use range names to control complex forecasting models more easily Compare additive and multiplicative models, and use the right model for each task

Predictive Analytics F R Dummies

Author : Anasse Bari
ISBN :
Genre :
File Size : 88. 90 MB
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Decision Analytics

Author : Conrad George Carlberg
ISBN : 9780789751683
Genre : Business & Economics
File Size : 57. 78 MB
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Explains how to distil big data into manageable sets and use them to optimise business and investment decisions. Reveals techniques to improve a wide range of decisions, and use simple Excel charts to grasp the results. Includes downloadable Excel workbooks to adapt to your own requirements.

Statistik Mit Excel F 1 4r Dummies

Author : Joseph Schmuller
ISBN : 9783527811700
Genre : Computers
File Size : 69. 62 MB
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Statistiken und Aussagen zu Wahrscheinlichkeiten begegnen uns heute ï¿1⁄2berall: Die Umsatzentwicklung in Unternehmen, Hochrechnungen fï¿1⁄2r Wahlergebnisse, PISA-Ergebnisse fï¿1⁄2nfzehnjï¿1⁄2hriger Schï¿1⁄2ler sind nur drei von zahlreichen Beispielen. Joseph Schmuller zeigt Ihnen in diesem Buch, wie Sie die Zahlen in den Griff bekommen und Daten, Statistiken und Wahrscheinlichkeiten richtig lesen und interpretieren. Dafï¿1⁄2r brauchen Sie keinen Statistikkurs zu belegen und kein Mathegenie zu sein. Fï¿1⁄2r alles gibt es in Excel die passende Funktion und das passende Werkzeug. So kï¿1⁄2nnen Sie Theorie und Praxis sofort miteinander verbinden.

Sap Predictive Analytics

Author : Nargiz Bakhshaliyeva
ISBN : 3836244152
Genre : Computers
File Size : 43. 1 MB
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Foundations Of Predictive Analytics

Author : James Wu
ISBN : 9781439869482
Genre : Business & Economics
File Size : 66. 62 MB
Format : PDF, Kindle
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Drawing on the authors’ two decades of experience in applied modeling and data mining, Foundations of Predictive Analytics presents the fundamental background required for analyzing data and building models for many practical applications, such as consumer behavior modeling, risk and marketing analytics, and other areas. It also discusses a variety of practical topics that are frequently missing from similar texts. The book begins with the statistical and linear algebra/matrix foundation of modeling methods, from distributions to cumulant and copula functions to Cornish–Fisher expansion and other useful but hard-to-find statistical techniques. It then describes common and unusual linear methods as well as popular nonlinear modeling approaches, including additive models, trees, support vector machine, fuzzy systems, clustering, naïve Bayes, and neural nets. The authors go on to cover methodologies used in time series and forecasting, such as ARIMA, GARCH, and survival analysis. They also present a range of optimization techniques and explore several special topics, such as Dempster–Shafer theory. An in-depth collection of the most important fundamental material on predictive analytics, this self-contained book provides the necessary information for understanding various techniques for exploratory data analysis and modeling. It explains the algorithmic details behind each technique (including underlying assumptions and mathematical formulations) and shows how to prepare and encode data, select variables, use model goodness measures, normalize odds, and perform reject inference. Web Resource The book’s website at www.DataMinerXL.com offers the DataMinerXL software for building predictive models. The site also includes more examples and information on modeling.

Microsoft Excel 2013 Data Analysis And Business Modeling

Author : Wayne Winston
ISBN : 9780735681071
Genre : Business & Economics
File Size : 90. 19 MB
Format : PDF, ePub
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Master business modeling and analysis techniques with Microsoft Excel 2013, and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide shows you how to use the latest Excel tools to integrate data from multiple tables—and how to effectively build a relational data source inside an Excel workbook. Solve real business problems with Excel—and sharpen your edge Summarize data with PivotTables and Descriptive Statistics Explore new trends in predictive and prescriptive analytics Use Excel Trend Curves, multiple regression, and exponential smoothing Master advanced Excel functions such as OFFSET and INDIRECT Delve into key financial, statistical, and time functions Make your charts more effective with the Power View tool Tame complex optimization problems with Excel Solver Run Monte Carlo simulations on stock prices and bidding models Apply important modeling tools such as the Inquire add-in

Organizational Productivity And Performance Measurements Using Predictive Modeling And Analytics

Author : Tavana, Madjid
ISBN : 9781522506553
Genre : Business & Economics
File Size : 76. 53 MB
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Businesses are collecting massive amounts of data every day as a way to better understand their processes, competition, and the markets they serve. This data can be used to increase organizational productivity and performance; however, is essential that organizations collecting large data sets have the tools available to them to fully understand the data they are collecting. Organizational Productivity and Performance Measurements Using Predictive Modeling and Analytics takes a critical look at methods for enhancing an organization’s operations and day-to-day activities through the effective use of data. Focusing on a variety of applications of predictive analytics within organizations of all types, this critical publication is an essential resource for business managers, data scientists, graduate-level students, and researchers.

Sap Analytics Cloud

Author : Andreas Kerner
ISBN : 9783960124467
Genre :
File Size : 66. 86 MB
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SAP Analytics Cloud ist das innovative Business Intelligence(BI)-Werkzeug der SAP für umfassende Analyse und Planungsaufgaben im Unternehmen. Die Strategie hinter den Cloud-Lösungen ist einfach: kostengünstige und intuitive Anwendungen mit geringem Implementierungs- und Wartungsaufwand. Lernen Sie in diesem anwendungsnahen Fachbuch zunächst wichtige Aspekte der Datenbeschaffung und Systemanbindung kennen. Anschließend werden Sie bei Ihrem analytischen Szenario mit der Erstellung eines Datenmodells unterstützt. Hierbei gehen die Autoren auf die verschiedenen Modelltypen ein und grenzen diese voneinander ab. Mit diesem Fundament können Sie mühelos in die Visualisierung von Daten und die Erstellung von Storys einsteigen. Sukzessive und jederzeit an SAP-Screenshots nachvollziehbar führt Sie das Autoren-Duo durch das umfassende Funktionsset für Administration, Business Intelligence, Planung sowie Simulation und Prognosen. Das Praxisbuch richtet sich an Fachabteilungen, BI-Berater und -Entwickler, die mit der Konzeptionierung und Realisierung von Geschäftsberichten sowie Planungsprozessen befasst sind. - Erstellung und Verwaltung von Analyse- und Planungsmodellen - Datenvisualisierung in einem Digital Boardroom - Live-Daten-Integration in Geschäftssysteme - Simulationen mithilfe von Werttreiberbäumen

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