Delivering Business Analytics Practical Guidelines for Best Practice

ISBN-10: 1118370562
ISBN-13: 9781118370568
Edition: 2013
List price: $42.50
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Description: Unlocking the value of business analytics can be challenging – complexity, uncertainty, and confusion are usually the norm, not the exception. True innovation and competitive advantage stem from navigating the razor’s edge between order and chaos.  More...

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Book details

List price: $42.50
Copyright year: 2013
Publisher: John Wiley & Sons, Limited
Publication date: 4/5/2013
Binding: Hardcover
Pages: 368
Size: 6.50" wide x 9.25" long x 1.25" tall
Weight: 1.232
Language: English

Unlocking the value of business analytics can be challenging – complexity, uncertainty, and confusion are usually the norm, not the exception. True innovation and competitive advantage stem from navigating the razor’s edge between order and chaos. So how do those who succeed do it? Everyone faces the same challenges; success comes from balancing the benefits of unfettered creativity with the need to industrialize those same unstructured processes. The harsh reality is that most teams are not as effective at managing these competing pressures as they could be. With the information contained in this book, they would be.This book provides 30 design patterns (examples) to help guide those who would create value through business analytics. Practical advice is given to help understand: (a) how a variety of common problems can be solved; (b) the advantages of disadvantages of each choice; and (c) how these solutions typically create organizational value.Each “Pattern” will contain the following elements: (a) pattern diagram, (b) problem the pattern solves, (c) design intent behind the pattern, (d) description of the actors and entities involved in the pattern, (e) use case description, (f) benefits of the approach, (g) limitations of the approach, and (g) common business-related applications and the reason why the pattern creates value.

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

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