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Predictive Business Analytics: Forward Looking Capabilities to Improve Business Performance Hardcover – January 1, 2014


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Product Details

  • Hardcover: 272 pages
  • Publisher: Wiley; 1 edition (2014)
  • Language: English
  • ISBN-10: 1118175565
  • ISBN-13: 978-1118175569
  • Product Dimensions: 9.1 x 6 x 1 inches
  • Shipping Weight: 1 pounds (View shipping rates and policies)
  • Average Customer Review: 4.9 out of 5 stars  See all reviews (10 customer reviews)
  • Amazon Best Sellers Rank: #544,654 in Books (See Top 100 in Books)

Editorial Reviews

From the Inside Flap

With the massive abundance of big data, a lack of flexible strategies, and the business world growing increasingly more complex thanks to globalization, more and more organizations are clamoring for better processes and tools to make smarter decisions.

Redefine the way your organization does business with the techniques and tools in Predictive Business Analytics. Industry leaders Lawrence Maisel and Gary Cokins equip you with the definitive tools to anticipate future events, forecast possible outcomes, and make decisions that translate into the ultimate competitive advantage.

In Predictive Business Analytics, Maisel and Cokins shatter the myths about this new paradigm, revealing how you can integrate predictive business analytics with other important business management and improvement methods, such as budgeting, forecasting, and performance reporting.

With an abundance of case examples, this guide insightfully considers:

  • Why predictive business analytics is the next "new" wave
  • Putting the predictive business analytics model to work in your business
  • Developing predictive business analytics—the guiding principles
  • How to get started with a predictive business analytics function
  • Deploying the predictive business analytics function
  • What happens when you integrate business intelligence, business analytics, and enterprise performance management
  • Putting your money where your strategy is: driver-based budgets
  • Moving from aspirations to practice with analytics

Read Predictive Business Analytics and exploit the power of data in your business to get ahead of the competition—and stay there.

From the Back Cover

Praise for Predictive Business Analytics

"Maisel and Cokins have provided a highly readable account of the feasibility and power of predictive analytics. Implementing the book's ideas will definitely help companies make better data-driven decisions."
—Robert S. Kaplan, co-developer of Balanced Scorecard and Activity-Based Costing and Professor Emeritus, Harvard Business School

"A simple how-to guide supported by practical case studies to implement a powerful process. In the dynamic economic environment we find ourselves in, having actionable analytics, based on facts and data supporting our decisions, increases our chances of making the best decisions."
—Jeffrey Nachowitz, VP Global Technology & Operations, MetLife

"Finally a book that 'connects the dots' on predictive analytics as a necessary and useful tool for CFOs interested in having a competitive advantage. Kudos to Maisel and Cokins for superbly addressing a topic long overdue."
—C. S. "Bud" Kulesza, CMA, CFM, leadership expert, Dean Emeritus, IMA Leadership Academy

"Cokins and Maisel paint a rich picture of the potential uses and pitfalls of predictive business analytics and provide a practical framework for implementing an analytics program. Both current and aspiring analytical practitioners will gain much insight and confidence by reading Predictive Business Analytics."
—Wayne Eckerson, President, BI Leader Consulting, and author of Secrets of Analytical Leaders: Insights from Information Insiders

"Larry and Gary are right on target in their evaluation of the power of predictive modeling in business analytics as the new wave that will sweep through businesses to drive and inform the decision-making process. This is a must-read for decision makers who will ride this wave into the future."
—Mitchell Blaser, Chief Operating Officer, Ironshore Inc.

"Larry and Gary have laid out a set of business principles for applying predictive analytics, with an emphasis on how to integrate predictive analytics with the accounting and budgeting functions so central to any large organization. This emphasis, combined with their focus on the need to make better decisions and on using analytics to change a business not just monitor it, makes Predictive Business Analytics a great read."
—James Taylor, CEO, Decision Management Solutions, and author of Decision Management Systems: A Practical Guide to Using Business Rules and Predictive Analytics


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Most Helpful Customer Reviews

2 of 2 people found the following review helpful By David F Giannetto on November 16, 2013
Format: Hardcover
Predictive analytics has long been the final frontier for business intelligence. As a long time BI practicioner I am happy to see that Cokins and Maisel have finally provided a blueprint for how predictive analytics can be adopted in a meaningful way by management in most any company. This book shows that they understand that in the end analysis is about generating business results and being usable by the average manager in their day-to-day role, and also how it can be used to improve long-term strategic focus. I will keep this book alongside other Cokins business books I use as a reference on how it should be done.
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1 of 1 people found the following review helpful By brian stedman on December 30, 2013
Format: Hardcover Verified Purchase
From chapter one, entitled “Why Analytics Will Be the Next Competitive Edge,” to the “principles” and best “practices;” to the many clear, concise real life examples of case studies revealed; to a discussion about ”trends and challenges;” to the value gained from understanding the “Driver-Based Budget and Rolling Forecasts” - this is a must read book for all, including what are described as the “skeptics” and well as the ”enthusiasts” of analytics.

I could not put it down and I am sure it will be a referenceable guide of mine for some time to come.

To demystify the topic of predictive analytics is not an easy task but the authors Maisel and Cokins, display a unique blend of acumen, practical know-how and well defined stories that make this an easy to read, digest and use the material.

It simply doesn’t disappoint but more importantly, it quenches one's thirst for the practical. Not to mention you will want to remember all of the quotes you will find that kick off each chapter and subject. Don't hesitate!
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1 of 1 people found the following review helpful By Dr. Frank L. Harper, Jr. on November 11, 2013
Format: Hardcover
This book will be of value to those wanting to have some mystery removed about terms like big data and business analytics. Chapter 1 alone is worth the price of the book. The authors, both seasoned professionals and widely published, provide a common sense explanation on how capabilities with predictions reduces uncertainty which then leads to decisions and plans with more confidence.

This book is not as much about complex mathematical equations for "data scientists" but rather about how and why the need for predictive business analytics has been escalating for organizations. It explains that organization must now be much more nimble and agile in making decisions and quickly navigating paths that were previously foggy and can now be clearer.
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1 of 1 people found the following review helpful By William Chuang on October 22, 2013
Format: Hardcover
Originally my background is in law but my career path has lead me toward business management. As such, I'm a relative newcomer to the topic of Business Analytics and Maisel and Cokins do a thorough, methodic, detailed and easy to follow job of describing why business analytics are important and how to implement them. They are able to tether theory into concrete examples and step through complex insights in a meaningful, and simple way.

A highly recommend this book.
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Format: Hardcover Verified Purchase
When is being sought to support new anlytics ways into business areas but do not find this way, it helps totally to understand how it is possible
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