Predictive business analytics : forward-looking capabilities to improve business performance

Online-Ressource (1 online resource (274 pages))

illustrations.

Includes bibliographical references and index. - Description based on print version record

Predictive Business Analytics Forward-Looking Capabilities to Improve Business Performance; Contents; Preface; PART ONE "Why"; CHAPTER 1 Why Analytics Will Be the Next Competitive Edge; ANALYTICS: JUST A SKILL, OR A PROFESSION?; BUSINESS INTELLIGENCE VERSUS ANALYTICS VERSUS DECISIONS; HOW DO EXECUTIVES AND MANAGERS MATURE IN APPLYING ACCEPTED METHODS?; FILL IN THE BLANKS: WHICH X IS MOST LIKELY TO Y?; PREDICTIVE BUSINESS ANALYTICS AND DECISION MANAGEMENT; PREDICTIVE BUSINESS ANALYTICS: THE NEXT "NEW" WAVE; GAME-CHANGER WAVE: AUTOMATED DECISION-BASED MANAGEMENT; PRECONCEPTION BIAS

ANALYSTS' IMAGINATION SPARKS CREATIVITY AND PRODUCES CONFIDENCEBEING WRONG VERSUS BEING CONFUSED; Cultural Issues Related to Wrong Choices; Is Your Decision Making an Eastern or Western Type?; Implications for Success with Analytics; AMBIGUITY AND UNCERTAINTY ARE YOUR FRIENDS; Search for Surprises; Quest for the Truth; DO THE IMPORTANT STUFF FIRST-PREDICTIVE BUSINESS ANALYTICS; WHAT IF . . . YOU CAN; NOTES; CHAPTER 2 The Predictive Business Analytics Model; BUILDING THE BUSINESS CASE FOR PREDICTIVE BUSINESS ANALYTICS; BUSINESS PARTNER ROLE AND CONTRIBUTIONS; SUMMARY; NOTES

PART TWO Principles and PracticesCHAPTER 3 Guiding Principles in Developing Predictive Business Analytics; DEFINING A RELEVANT SET OF PRINCIPLES; PRINCIPLE 1: DEMONSTRATE A STRONG CAUSE-AND-EFFECT RELATIONSHIP; PRINCIPLE 2: INCORPORATE A BALANCED SET OF FINANCIAL AND NONFINANCIAL, INTERNAL AND EXTERNAL MEASURES; PRINCIPLE 3: BE RELEVANT, RELIABLE, AND TIMELY FOR DECISION MAKERS; Relevance; Reliability; Timeliness; PRINCIPLE 4: ENSURE DATA INTEGRITY; PRINCIPLE 5: BE ACCESSIBLE, UNDERSTANDABLE, AND WELL ORGANIZED; PRINCIPLE 6: INTEGRATE INTO THE MANAGEMENT PROCESS

PRINCIPLE 7: DRIVE BEHAVIORS AND RESULTSBenchmarking; Rewards; SUMMARY; CHAPTER 4 Developing a Predictive Business Analytics Function; GETTING STARTED; SELECTING A DESIRED TARGET STATE; ADOPTING A PBA FRAMEWORK; DEVELOPING THE FRAMEWORK; Step 1: Process Design; Step 2: Model Development; Step 3: Data Capture; SUMMARY; NOTES; CHAPTER 5 Deploying the Predictive Business Analytics Function; INTEGRATING PERFORMANCE MANAGEMENT WITH ANALYTICS; PERFORMANCE MANAGEMENT SYSTEM; IMPLEMENTING A PERFORMANCE SCORECARD; Step 1: Getting Started; Step 2: Defi ning Key Performance Indicators/Measures

Step 3: Designing and Developing Predictive Business AnalyticsMANAGEMENT REVIEW PROCESS; IMPLEMENTATION APPROACHES; CHANGE MANAGEMENT; SUMMARY; NOTES; PART THREE Case Studies; CHAPTER 6 MetLife Case Study in Predictive Business Analytics; THE PERFORMANCE MANAGEMENT PROGRAM; Performance Management Framework; Key Performance Indicators Reporting; Management Operating Review; Benchmarking; IMPLEMENTING THE MOR PROGRAM; Step 1: Establish Policy and Charter for a MOR Program; Step 2: Develop KPIs/Measures; Step 3: Establish Data Management; Step 4: Develop Reporting Tools and Processes

Step 5: Conduct Management Reviews

ECONIS - Online Catalogue of the ZBW