Extent:
Online-Ressource (xix, 348 p.)
Series:
Type of publication: Book / Working Paper
Language: English
Notes:
Includes bibliographical references and index. - Electronic reproduction; Palo Alto, Calif; ebrary; 2013; Available via World Wide Web; Access may be limited to ebrary affiliated libraries
Delivering Business Analytics: Practical Guidelines for Best Practice; Copyright; Contents; Preface; Why You Need to Read This Book; How to Use This Book; Note; Acknowledgments; Part One: Business Analytics Best Practices; Chapter 1: Business Analytics: A Definition; What Is Business Analytics?; Core Concepts and Definitions; Note; Chapter 2: The Competitive Advantage of Business Analytics; Advantages of Business Analytics; Competitive Advantage; Maximizing Economies of Scale; Quality Improvement; Challenges of Business Analytics; Minimizing Transaction Costs; Bounded Rationality
Establishing Best PracticesNotes; Part Two: The Data Scientist's Code; Chapter 3: Designing the Approach; Think about Competencies, Not Functions; Incremental Value Comes from Continuous Improvement; Management Principles; Drive Outcomes, Not Insight; Management Principles; Automate Everything Non-Value-Added; Management Principles; Start Flexible, Become Structured; Management Principles; Eliminate Bottlenecks; Management Principles; Notes; Chapter 4: Creating Assets; Design Your Platform for Use, Not Purity; Management Principles; Always Have a Plan B; Management Principles
Know What You Are WorthValue Changes over Time; Management Principles; Own Your Intellectual Property; Self-Interest Isn't Always in Your Favor; Management Principles; Minimize Custom Development; Inventions Don't Need to Remain Proprietary; Management Principles; Chapter 5: Managing Information and Making Decisions; Understand Your Data; Quality Data Is More Than Just Accurate Data; Management Principles; It's Better to Have Too Much Data Than Too Little; Being Smarter Involves Being Predictive; Being Predictive Requires History; Management Principles; Keep Things Simple
Results Don't Require ComplexityManagement Principles; Function Should Dictate Form; Management Principles; Watch the Dynamic, Not Just the Static; Knowing What's Abnormal Helps with the Unknown; Management Principles; Note; Part Three: Practical Solutions: People and Process; Chapter 6: Driving Operational Outcomes; Augmenting Operational Systems; The Background: In the Quest for Standard Processes, Flexibility Always Suffers; Why Should You Care?; What Not to Do; The How-To Guide: Run It in Parallel and Reuse It; Benefits and Limitations; Breaking Bottlenecks
The Background: Every Gateway Becomes a Bottleneck Given Enough TrafficWhy Should You Care?; What Not to Do; The How-To Guide: Become an Enabler, Not a Gatekeeper; Optimizing Monitoring Processes; The Background: Maintaining Value Takes Time Away from Creating Value; Why Should You Care?; What Not to Do; The How-To Guide: Automate the Monitoring Process; Encouraging Innovation; The Background: Success Creates Inertia; Why Should You Care?; What Not to Do; The How-To Guide: Establish an Innovation Lab and Separate Disruption from Continuous Improvement; Notes
Chapter 7: Analytical Process Management
pt. 1. Business analytics best practices -- pt. 2. The data scientist's code -- pt. 3. Practical solutions : people and process -- pt. 4. Practical solutions : systems and assets -- pt. 5. Practical solutions : data and decision making
ISBN: 978-1-118-55954-3 ; 978-1-118-37056-8
Source:
ECONIS - Online Catalogue of the ZBW
Persistent link: https://www.econbiz.de/10012600478