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.
Keywords: Business & Management Special Topics, Lawrence Maisel, Gary Cokins, Predictive business analytics, Predictive business intelligence, PBA, Business analytics, Predictive analytics, Decision management, Decision-based management, PBA model, Performance measurement system, Performance scorecard, Business intelligence, Business analytics, Business intelligence analytics, Enterprise performance management, Predictive accounting, Driver-based budget, Rolling forecasts, SAS business analytics, Business intelligence and analytics, Data warehousing, Business intelligence dashboards