Delivering Business Analytics · Practical Guidelines for Best Practice by Stubbs, Evan -- Read -- Imperial Library of Trantor

Index

Cover Contents Title Copyright Dedication Preface 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 Challenges of Business Analytics Establishing Best Practices Notes

Part Two: The Data Scientist’s Code

Chapter 3: Designing the Approach

Think about Competencies, Not Functions Drive Outcomes, Not Insight Automate Everything Non-Value-Added Start Flexible, Become Structured Eliminate Bottlenecks Notes

Chapter 4: 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

Chapter 5: 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 Note

Part Three: Practical Solutions: People and Process

Chapter 6: Driving Operational Outcomes

Augmenting Operational Systems Breaking Bottlenecks Optimizing Monitoring Processes Encouraging Innovation Notes

Chapter 7: Analytical Process Management

Coping with Information Overload Keeping Everyone Aligned Allocating Responsibilities Opening the Platform

Part Four: Practical Solutions: Systems and Assets

Chapter 8: Computational Architectures

Moving Beyond the Spreadsheet Scaling Past the PC Staying Mobile and Connected Smoothing Growth with the Cloud Notes

Chapter 9: Asset Management

Moving to Operational Analytics Measuring Value Measuring Performance Measuring Effort Note

Part Five: Practical Solutions: Data and Decision Making

Chapter 10: Information Management

Creating the Data Architecture Understanding the Data Value Chain Creating Data-Management Processes Capturing the Right Data Notes

Chapter 11: 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