| |
| |
| Preface | |
| |
| |
| Acknowledgments | |
| |
| |
| |
| Business Analytics Best Practices | |
| |
| |
| |
| Business Analytics: A Definition | |
| |
| |
| What Is Business Analytics? | |
| |
| |
| Core Concepts and Definitions | |
| |
| |
| |
| The Competitive Advantage of Business Analytics | |
| |
| |
| Advantages of Business Analytics | |
| |
| |
| Challenges of Business Analytics | |
| |
| |
| Establishing Best Practices | |
| |
| |
| |
| The Data Scientist's Code | |
| |
| |
| |
| Designing the Approach | |
| |
| |
| Think about Competencies, Not Functions | |
| |
| |
| Drive Outcomes, Not Insight | |
| |
| |
| Automate Everything Non-Value-Added | |
| |
| |
| Start Flexible, Become Structured | |
| |
| |
| Eliminate Bottlenecks | |
| |
| |
| |
| Creating Assets | |
| |
| |
| Design Your Platform for Use, Not Purity | |
| |
| |
| Always Have a Plan B | |
| |
| |
| Know What You Are Worth | |
| |
| |
| Own Your Intellectual Property | |
| |
| |
| Minimize Custom Development | |
| |
| |
| |
| Managing Information and Making Decisions | |
| |
| |
| Understand Your Data | |
| |
| |
| It's Better to Have Too Much Data Than Too Little | |
| |
| |
| Keep Things Simple | |
| |
| |
| Function Should Dictate Form | |
| |
| |
| Watch the Dynamic, Not Just the Static | |
| |
| |
| |
| Practical Solutions: People and Process | |
| |
| |
| |
| Driving Operational Outcomes | |
| |
| |
| Augmenting Operational systems | |
| |
| |
| Breaking Bottlenecks | |
| |
| |
| Optimizing Monitoring Processes | |
| |
| |
| Encouraging Innovation | |
| |
| |
| |
| Analytical Process Management | |
| |
| |
| Coping with information Overload | |
| |
| |
| Keeping Everyone Aligned | |
| |
| |
| Allocating Responsibilities | |
| |
| |
| Opening the Platform | |
| |
| |
| |
| Practical Solutions: Systems and Assets | |
| |
| |
| |
| Computational Architectures | |
| |
| |
| Moving Beyond the Spreadsheet | |
| |
| |
| Scaling Past the PC | |
| |
| |
| Staying Mobile and Connected | |
| |
| |
| Smoothing Growth with the Cloud | |
| |
| |
| |
| Asset Management | |
| |
| |
| Moving to Operational Analytics | |
| |
| |
| Measuring Value | |
| |
| |
| Measuring Performance | |
| |
| |
| Measuring Effort | |
| |
| |
| |
| Practical Solutions: Data and Decision Making | |
| |
| |
| |
| Information Management | |
| |
| |
| Creating the Data Architecture | |
| |
| |
| Understanding the Data Value Chain | |
| |
| |
| Creating Data-Management Processes | |
| |
| |
| Capturing the Right Data | |
| |
| |
| |
| Decision-Making Structures | |
| |
| |
| Linking Analytics to Value | |
| |
| |
| Reducing Time to Recommendation | |
| |
| |
| Enabling Real-Time Scoring | |
| |
| |
| Blending Rules with Models | |
| |
| |
| Appendix: The Cheat Sheets | |
| |
| |
| Glossary | |
| |
| |
| Further Reading | |
| |
| |
| About the Author | |
| |
| |
| Index | |