Business Analytics Principles Concepts And Applications

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Business Analytics Principles, Concepts, and Applications

Marc J. Schniederjans,Dara G. Schniederjans,Christopher M. Starkey
Business Analytics Principles Concepts and Applications Book PDF

Author : Marc J. Schniederjans,Dara G. Schniederjans,Christopher M. Starkey
Publisher : Pearson Education
Page : 369 pages
File Size : 55,9 Mb
Release : 2014-04-23
Category : Business & Economics
ISBN : 9780133552249

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Business Analytics Principles, Concepts, and Applications by Marc J. Schniederjans,Dara G. Schniederjans,Christopher M. Starkey Pdf

Learn everything you need to know to start using business analytics and integrating it throughout your organization. Business Analytics Principles, Concepts, and Applications brings together a complete, integrated package of knowledge for newcomers to the subject. The authors present an up-to-date view of what business analytics is, why it is so valuable, and most importantly, how it is used. They combine essential conceptual content with clear explanations of the tools, techniques, and methodologies actually used to implement modern business analytics initiatives. They offer a proven step-wise approach to designing an analytics program, and successfully integrating it into your organization, so it effectively provides intelligence for competitive advantage in decision making. Using step-by-step examples, the authors identify common challenges that can be addressed by business analytics, illustrate each type of analytics (descriptive, prescriptive, and predictive), and guide users in undertaking their own projects. Illustrating the real-world use of statistical, information systems, and management science methodologies, these examples help readers successfully apply the methods they are learning. Unlike most competitive guides, this text demonstrates the use of IBM's menu-based SPSS software, permitting instructors to spend less time teaching software and more time focusing on business analytics itself. A valuable resource for all beginning-to-intermediate-level business analysts and business analytics managers; for MBA/Masters' degree students in the field; and for advanced undergraduates majoring in statistics, applied mathematics, or engineering/operations research.

Business Analytics

Drew Bentley
Business Analytics Book PDF

Author : Drew Bentley
Publisher : Larsen and Keller Education
Page : 212 pages
File Size : 49,5 Mb
Release : 2019-06-26
Category : Electronic
ISBN : 1641720883

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Business Analytics by Drew Bentley Pdf

The exploration and investigation of business performance in order to gain valuable insights and drive planning is achieved by the integration of the skills, techniques and practices of business analytics. It employs extensive statistical analysis including explanatory and predictive modeling and fact-based management to facilitate effective decision-making. The different types of analytics are decision analytics, descriptive analytics, predictive analytics and prescriptive analytics. Some of the domains within analytics are behavioral analytics, enterprise optimization, fraud analytics, supply chain analytics, etc. This book is a valuable compilation of topics, ranging from the basic to the most complex theories and principles in the field of business analytics. Some of the diverse topics covered in this book address the principles, concepts and applications of business analytics. This book, with its detailed analyses and data, will prove immensely beneficial to professionals and students involved in this area at various levels.

Business Analytics Principles, Concepts, and Applications with SAS

Marc J. Schniederjans,Dara G. Schniederjans,Christopher M. Starkey
Business Analytics Principles Concepts and Applications with SAS Book PDF

Author : Marc J. Schniederjans,Dara G. Schniederjans,Christopher M. Starkey
Publisher : Pearson Education
Page : 353 pages
File Size : 55,8 Mb
Release : 2014-09-12
Category : Business & Economics
ISBN : 9780133989571

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Business Analytics Principles, Concepts, and Applications with SAS by Marc J. Schniederjans,Dara G. Schniederjans,Christopher M. Starkey Pdf

Learn everything you need to know to start using business analytics and integrating it throughout your organization. Business Analytics Principles, Concepts, and Applications with SAS brings together a complete, integrated package of knowledge for newcomers to the subject. The authors present an up-to-date view of what business analytics is, why it is so valuable, and most importantly, how it is used. They combine essential conceptual content with clear explanations of the tools, techniques, and methodologies actually used to implement modern business analytics initiatives. They offer a proven step-wise approach to designing an analytics program, and successfully integrating it into your organization, so it effectively provides intelligence for competitive advantage in decision making. Using step-by-step examples, the authors identify common challenges that can be addressed by business analytics, illustrate each type of analytics (descriptive, prescriptive, and predictive), and guide users in undertaking their own projects. Illustrating the real-world use of statistical, information systems, and management science methodologies, these examples help readers successfully apply the methods they are learning. Unlike most competitive guides, this text demonstrates the use of SAS software, permitting instructors to spend less time teaching software and more time focusing on business analytics itself. Business Analytics Principles, Concepts, and Applications with SAS will be a valuable resource for all beginning-to-intermediate level business analysts and business analytics managers; for MBA/Masters' degree students in the field; and for advanced undergraduates majoring in statistics, applied mathematics, or engineering/operations research.

Business Analytics Principles, Concepts, and Application

Christopher M. Starkey,Marc J. Schniederjans
Business Analytics Principles Concepts and Application Book PDF

Author : Christopher M. Starkey,Marc J. Schniederjans
Publisher : Unknown
Page : 350 pages
File Size : 51,8 Mb
Release : 2014
Category : Business planning
ISBN : 013355225X

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Business Analytics Principles, Concepts, and Application by Christopher M. Starkey,Marc J. Schniederjans Pdf

Annotation Learn everything you need to know to start using business analytics and integrating it throughout your organization. Business Analytics Principles, Concepts, and Applications brings together a complete, integrated package of knowledge for newcomers to the subject. The authors present an up-to-date view of what business analytics is, why it is so valuable, and most importantly, how it is used. They combine essential conceptual content with clear explanations of the tools, techniques, and methodologies actually used to implement modern business analytics initiatives. They offer a proven step-wise approach to designing an analytics program, and successfully integrating it into your organization, so it effectively provides intelligence for competitive advantage in decision making. Using step-by-step examples, the authors identify common challenges that can be addressed by business analytics, illustrate each type of analytics (descriptive, prescriptive, and predictive), and guide users in undertaking their own projects. Illustrating the real-world use of statistical, information systems, and management science methodologies, these examples help readers successfully apply the methods they are learning. Unlike most competitive guides, this text demonstrates the use of IBM's menu-based SPSS software, permitting instructors to spend less time teaching software and more time focusing on business analytics itself. A valuable resource for all beginning-to-intermediate-level business analysts and business analytics managers; for MBA/Masters' degree students in the field; and for advanced undergraduates majoring in statistics, applied mathematics, or engineering/operations research.

Applied Data Analytics - Principles and Applications

Johnson I. Agbinya
Applied Data Analytics Principles and Applications Book PDF

Author : Johnson I. Agbinya
Publisher : CRC Press
Page : 369 pages
File Size : 51,8 Mb
Release : 2022-09-01
Category : Computers
ISBN : 9781000795530

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Applied Data Analytics - Principles and Applications by Johnson I. Agbinya Pdf

The emergence of huge amounts of data which require analysis and in some cases real-time processing has forced exploration into fast algorithms for handling very lage data sizes. Analysis of x-ray images in medical applications, cyber security data, crime data, telecommunications and stock market data, health records and business analytics data are but a few areas of interest. Applications and platforms including R, RapidMiner and Weka provide the basis for analysis, often used by practitioners who pay little to no attention to the underlying mathematics and processes impacting the data. This often leads to an inability to explain results or correct mistakes, or to spot errors. Applied Data Analytics - Principles and Applications seeks to bridge this missing gap by providing some of the most sought after techniques in big data analytics. Establishing strong foundations in these topics provides practical ease when big data analyses are undertaken using the widely available open source and commercially orientated computation platforms, languages and visualisation systems. The book, when combined with such platforms, provides a complete set of tools required to handle big data and can lead to fast implementations and applications. The book contains a mixture of machine learning foundations, deep learning, artificial intelligence, statistics and evolutionary learning mathematics written from the usage point of view with rich explanations on what the concepts mean. The author has thus avoided the complexities often associated with these concepts when found in research papers. The tutorial nature of the book and the applications provided are some of the reasons why the book is suitable for undergraduate, postgraduate and big data analytics enthusiasts. This text should ease the fear of mathematics often associated with practical data analytics and support rapid applications in artificial intelligence, environmental sensor data modelling and analysis, health informatics, business data analytics, data from Internet of Things and deep learning applications.

Global Business Analytics Models

Hokey Min
Global Business Analytics Models Book PDF

Author : Hokey Min
Publisher : FT Press
Page : 239 pages
File Size : 45,9 Mb
Release : 2016-03-05
Category : Business & Economics
ISBN : 9780134057613

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Global Business Analytics Models by Hokey Min Pdf

THE COMPLETE GUIDE TO USING ANALYTICS TO MANAGE RISK AND UNCERTAINTY IN COMPLEX GLOBAL BUSINESS ENVIRONMENTS Practical techniques for developing reliable, actionable intelligence–and using it to craft strategy Analytical opportunities to solve key managerial problems in global enterprises Written for working managers: packed with realistic, useful examples This guide helps global managers use modern analytics to gain reliable, actionable, and timely business intelligence–and use it to manage risk, build winning strategies, and solve urgent problems. Dr. Hokey Min offers a practical, easy-to-understand overview of business analytics in a global context, focusing especially on managerial and strategic implications. After demystifying today’s core quantitative tools, he demonstrates them at work in a wide spectrum of global applications. You’ll build models to help segment global markets, forecast demand, assess risk, plan financing, optimize supply chains, and more. Along the way, you’ll find practical guidance for developing analytic thinking, operationalizing Big Data in global environments, and preparing for future analytical innovations. Whether you’re a global executive, strategist, analyst, marketer, supply chain professional, student or researcher, this book will help you drive real value from analytics–in smarter decisions, improved strategy, and better management. In today’s global business environments characterized by growing complexity, volatility, and uncertainty, business analytics has become an indispensable tool for managing these challenges. Specifically, global managers need analytics expertise to solve problems, identify opportunities, shape strategy, mitigate risk, and improve their day-to-day operational efficiency. Now, for the first time, there’s an analytics guide designed specifically for decision-makers in global organizations. Leveraging his experience teaching a number of students and training hundreds of managers and executives, Dr. Hokey Min demystifies the principles and tools of modern business analytics, and demonstrates their real-world use in global business. First, Dr. Min identifies key success factors and mindsets, helping you establish the preconditions for effective analysis. Next, he walks you through the practicalities of collecting, organizing, and analyzing Big Data, and developing models to transform them into actionable insight. Building on these foundations, he illustrates core analytical applications in finance, healthcare, and global supply chains. He concludes by previewing emerging trends in analytics, including the newest tools for automated decision-making. Compare today’s key quantitative tools Stats, data mining, OR, and simulation: how they work, when to use them Get the right data... ...and get the data right Predict the future... ...and sense its arrival sooner than others can

Applied Predictive Analytics

Dean Abbott
Applied Predictive Analytics Book PDF

Author : Dean Abbott
Publisher : John Wiley & Sons
Page : 456 pages
File Size : 48,8 Mb
Release : 2014-03-31
Category : Computers
ISBN : 9781118727690

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Applied Predictive Analytics by Dean Abbott Pdf

Learn the art and science of predictive analytics — techniques that get results Predictive analytics is what translates big data into meaningful, usable business information. Written by a leading expert in the field, this guide examines the science of the underlying algorithms as well as the principles and best practices that govern the art of predictive analytics. It clearly explains the theory behind predictive analytics, teaches the methods, principles, and techniques for conducting predictive analytics projects, and offers tips and tricks that are essential for successful predictive modeling. Hands-on examples and case studies are included. The ability to successfully apply predictive analytics enables businesses to effectively interpret big data; essential for competition today This guide teaches not only the principles of predictive analytics, but also how to apply them to achieve real, pragmatic solutions Explains methods, principles, and techniques for conducting predictive analytics projects from start to finish Illustrates each technique with hands-on examples and includes as series of in-depth case studies that apply predictive analytics to common business scenarios A companion website provides all the data sets used to generate the examples as well as a free trial version of software Applied Predictive Analytics arms data and business analysts and business managers with the tools they need to interpret and capitalize on big data.

Data Mining for Business Analytics

Galit Shmueli,Peter C. Bruce,Peter Gedeck,Nitin R. Patel
Data Mining for Business Analytics Book PDF

Author : Galit Shmueli,Peter C. Bruce,Peter Gedeck,Nitin R. Patel
Publisher : John Wiley & Sons
Page : 608 pages
File Size : 40,7 Mb
Release : 2019-10-14
Category : Mathematics
ISBN : 9781119549857

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Data Mining for Business Analytics by Galit Shmueli,Peter C. Bruce,Peter Gedeck,Nitin R. Patel Pdf

Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: A new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process A new section on ethical issues in data mining Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. “This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject.” —Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R

Data Mining for Business Analytics

Galit Shmueli,Peter C. Bruce,Nitin R. Patel
Data Mining for Business Analytics Book PDF

Author : Galit Shmueli,Peter C. Bruce,Nitin R. Patel
Publisher : John Wiley & Sons
Page : 560 pages
File Size : 49,6 Mb
Release : 2016-04-18
Category : Mathematics
ISBN : 9781118729274

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Data Mining for Business Analytics by Galit Shmueli,Peter C. Bruce,Nitin R. Patel Pdf

An applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies. Readers will work with all of the standard data mining methods using the Microsoft® Office Excel® add-in XLMiner® to develop predictive models and learn how to obtain business value from Big Data. Featuring updated topical coverage on text mining, social network analysis, collaborative filtering, ensemble methods, uplift modeling and more, the Third Edition also includes: Real-world examples to build a theoretical and practical understanding of key data mining methods End-of-chapter exercises that help readers better understand the presented material Data-rich case studies to illustrate various applications of data mining techniques Completely new chapters on social network analysis and text mining A companion site with additional data sets, instructors material that include solutions to exercises and case studies, and Microsoft PowerPoint® slides https://www.dataminingbook.com Free 140-day license to use XLMiner for Education software Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition is an ideal textbook for upper-undergraduate and graduate-level courses as well as professional programs on data mining, predictive modeling, and Big Data analytics. The new edition is also a unique reference for analysts, researchers, and practitioners working with predictive analytics in the fields of business, finance, marketing, computer science, and information technology. Praise for the Second Edition "…full of vivid and thought-provoking anecdotes... needs to be read by anyone with a serious interest in research and marketing."– Research Magazine "Shmueli et al. have done a wonderful job in presenting the field of data mining - a welcome addition to the literature." – ComputingReviews.com "Excellent choice for business analysts...The book is a perfect fit for its intended audience." – Keith McCormick, Consultant and Author of SPSS Statistics For Dummies, Third Edition and SPSS Statistics for Data Analysis and Visualization Galit Shmueli, PhD, is Distinguished Professor at National Tsing Hua University’s Institute of Service Science. She has designed and instructed data mining courses since 2004 at University of Maryland, Statistics.com, The Indian School of Business, and National Tsing Hua University, Taiwan. Professor Shmueli is known for her research and teaching in business analytics, with a focus on statistical and data mining methods in information systems and healthcare. She has authored over 70 journal articles, books, textbooks and book chapters. Peter C. Bruce is President and Founder of the Institute for Statistics Education at www.statistics.com. He has written multiple journal articles and is the developer of Resampling Stats software. He is the author of Introductory Statistics and Analytics: A Resampling Perspective, also published by Wiley. Nitin R. Patel, PhD, is Chairman and cofounder of Cytel, Inc., based in Cambridge, Massachusetts. A Fellow of the American Statistical Association, Dr. Patel has also served as a Visiting Professor at the Massachusetts Institute of Technology and at Harvard University. He is a Fellow of the Computer Society of India and was a professor at the Indian Institute of Management, Ahmedabad for 15 years.

Win with Advanced Business Analytics

Jean-Paul Isson,Jesse Harriott
Win with Advanced Business Analytics Book PDF

Author : Jean-Paul Isson,Jesse Harriott
Publisher : John Wiley & Sons
Page : 416 pages
File Size : 45,7 Mb
Release : 2012-09-25
Category : Business & Economics
ISBN : 9781118417089

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Win with Advanced Business Analytics by Jean-Paul Isson,Jesse Harriott Pdf

Plain English guidance for strategic business analytics and big data implementation In today's challenging economy, business analytics and big data have become more and more ubiquitous. While some businesses don't even know where to start, others are struggling to move from beyond basic reporting. In some instances management and executives do not see the value of analytics or have a clear understanding of business analytics vision mandate and benefits. Win with Advanced Analytics focuses on integrating multiple types of intelligence, such as web analytics, customer feedback, competitive intelligence, customer behavior, and industry intelligence into your business practice. Provides the essential concept and framework to implement business analytics Written clearly for a nontechnical audience Filled with case studies across a variety of industries Uniquely focuses on integrating multiple types of big data intelligence into your business Companies now operate on a global scale and are inundated with a large volume of data from multiple locations and sources: B2B data, B2C data, traffic data, transactional data, third party vendor data, macroeconomic data, etc. Packed with case studies from multiple countries across a variety of industries, Win with Advanced Analytics provides a comprehensive framework and applications of how to leverage business analytics/big data to outpace the competition.

Advanced Business Analytics

Fausto Pedro García Márquez,Benjamin Lev
Advanced Business Analytics Book PDF

Author : Fausto Pedro García Márquez,Benjamin Lev
Publisher : Springer
Page : 243 pages
File Size : 50,6 Mb
Release : 2015-01-24
Category : Business & Economics
ISBN : 9783319114156

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Advanced Business Analytics by Fausto Pedro García Márquez,Benjamin Lev Pdf

The book describes advanced business analytics and shows how to apply them to many different professional areas of engineering and management. Each chapter of the book is contributed by a different author and covers a different area of business analytics. The book connects the analytic principles with business practice and provides an interface between the main disciplines of engineering/technology and the organizational, administrative and planning abilities of management. It also refers to other disciplines such as economy, finance, marketing, behavioral economics and risk analysis. This book is of special interest to engineers, economists and researchers who are developing new advances in engineering management but also to practitioners working on this subject.

Data Science for Business

Foster Provost,Tom Fawcett
Data Science for Business Book PDF

Author : Foster Provost,Tom Fawcett
Publisher : "O'Reilly Media, Inc."
Page : 414 pages
File Size : 41,8 Mb
Release : 2013-07-27
Category : Computers
ISBN : 9781449374280

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Data Science for Business by Foster Provost,Tom Fawcett Pdf

Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates

Getting Started with Business Analytics

David Roi Hardoon,Galit Shmueli
Getting Started with Business Analytics Book PDF

Author : David Roi Hardoon,Galit Shmueli
Publisher : CRC Press
Page : 192 pages
File Size : 40,6 Mb
Release : 2013-03-26
Category : Business & Economics
ISBN : 9781439896549

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Getting Started with Business Analytics by David Roi Hardoon,Galit Shmueli Pdf

Assuming no prior knowledge or technical skills, Getting Started with Business Analytics: Insightful Decision-Making explores the contents, capabilities, and applications of business analytics. It bridges the worlds of business and statistics and describes business analytics from a non-commercial standpoint. The authors demystify the main concepts

Managerial Analytics

Michael Watson,Derek Nelson,Peter Cacioppi
Managerial Analytics Book PDF

Author : Michael Watson,Derek Nelson,Peter Cacioppi
Publisher : Pearson Education
Page : 253 pages
File Size : 54,6 Mb
Release : 2013-11-26
Category : Business & Economics
ISBN : 9780133408645

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Managerial Analytics by Michael Watson,Derek Nelson,Peter Cacioppi Pdf

The field of analytics is rapidly evolving, making it difficult for professionals and students to keep up the most current and effective applications. Managerial Analytics will help readers sort through all these new options and identify the appropriate solution. In this reference, authors Watson, Nelson and Cacioppi accurately define and identify the components of analytics and big data, giving readers the knowledge needed to effectively assess new aspects and applications. Building on this foundation, they review tools and solutions, identify the offerings best aligned to one’s requirements, and show how to tailor analytics applications to an organization’s specific needs. Drawing on extensive experience implementing, planning, and researching advanced analytics for business, the authors clearly explain all this, and more: What analytics is and isn’t: great examples of successful usage – and other examples where the term is being degraded into meaninglessness The difference between using analytics and “competing on analytics” How to get started with big data, by analyzing the most relevant data Components of analytics systems, from databases and Excel to BI systems and beyond Anticipating and overcoming “confirmation bias” and other pitfalls Understanding predictive analytics and getting the high-quality random samples necessary Applying game theory, Efficient Frontier, benchmarking, and revenue management models Implementing optimization at the small and large scale, and using it to make “automatic decisions”

Predictive Business Analytics

Lawrence Maisel,Gary Cokins
Predictive Business Analytics Book PDF

Author : Lawrence Maisel,Gary Cokins
Publisher : John Wiley & Sons
Page : 276 pages
File Size : 44,7 Mb
Release : 2013-09-26
Category : Business & Economics
ISBN : 9781118240151

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Predictive Business Analytics by Lawrence Maisel,Gary Cokins Pdf

Discover the breakthrough tool your company can use to make winning decisions This forward-thinking book addresses the emergence of predictive business analytics, how it can help redefine the way your organization operates, and many of the misconceptions that impede the adoption of this new management capability. Filled with case examples, Predictive Business Analytics defines ways in which specific industries have applied these techniques and tools and how predictive business analytics can complement other financial applications such as budgeting, forecasting, and performance reporting. Examines how predictive business analytics can help your organization understand its various drivers of performance, their relationship to future outcomes, and improve managerial decision-making Looks at how to develop new insights and understand business performance based on extensive use of data, statistical and quantitative analysis, and explanatory and predictive modeling Written for senior financial professionals, as well as general and divisional senior management Visionary and effective, Predictive Business Analytics reveals how you can use your business's skills, technologies, tools, and processes for continuous analysis of past business performance to gain forward-looking insight and drive business decisions and actions.