Predictive Business Analytics: Forward Looking Capabilities to Improve Business Performance
- 3h 47m
- Gary Cokins, Lawrence S. Maisel
- John Wiley & Sons (US)
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.
About the Authors
LAWRENCE S. MAISEL, President of DecisionVu, specializes in corporate performance management, financial management, and IT value management. He has extensive industry experiences with numerous Global 1000 companies including MetLife, TIAA-CREF, Citigroup, GE, Bristol-Myers, Pfizer, and News Corp/Fox Entertainment. Larry co-created with Drs. Kaplan and Norton the Balanced Scorecard Approach, and co-authored with Drs. Kaplan and Cooper Implementing Activity-Based Cost Management. He is a CPA, holds a BA from NYU and an MBA from Pace University, and was an adjunct professor at Columbia University's Graduate Business School.
GARY COKINS is the founder of Analytics-Based Performance Management, LLC. He is an internationally recognized expert, speaker, and author in advanced cost management and performance improvement systems. He served fifteen years as a consultant with Deloitte Consulting, KPMG, and Electronic Data Systems (EDS, now part of HP). From 1997 until recently, Gary was in business development with SAS, a leading provider of enterprise performance management and business analytics and intelligence software. He has a degree in operations research from Cornell University and an MBA from Northwestern University Kellogg School of Management.
In this Book
Why Analytics Will Be the Next Competitive Edge
The Predictive Business Analytics Model
Guiding Principles in Developing Predictive Business Analytics
Developing a Predictive Business Analytics Function
Deploying the Predictive Business Analytics Function
MetLife Case Study in Predictive Business Analytics
Predictive Performance Analytics in the Biopharmaceutical Industry
Why Do Companies Fail (Because of Irrational Decisions)?
Integration of Business Intelligence, Business Analytics, and Enterprise Performance Management
Predictive Accounting and Marginal Expense Analytics
Driver-Based Budget and Rolling Forecasts