Delivering Business Analytics

03/15/2013 · No Responses

AVOID THE MISTAKES THAT OTHERS MAKE – LEARN WHAT LEADS TO BEST PRACTICE AND KICKSTART SUCCESS

This groundbreaking resource provides comprehensive coverage across all aspects of business analytics, presenting proven management guidelines to drive sustainable differentiation. Through a rich set of case studies, author Evan Stubbs reviews solutions and examples to over twenty common problems spanning managing analytics assets and information, leveraging technology, nurturing skills, and defining processes.

Delivering Business Analytics also outlines the Data Scientist’s Code, fifteen principles that when followed ensure constant movement towards effective practice. Practical advice is offered for addressing various analytics issues; the advantages and disadvantages of each issue’s solution; and how these solutions can optimally create organizational value.

With an emphasis on real-world examples and pragmatic advice throughout, Delivering Business Analytics provides a reference guide on:

The economic principles behind how business analytics leads to competitive differentiation
The elements which define best practice
The Data Scientist’s Code, fifteen management principles that when followed help teams move towards best practice
Practical solutions and frequent missteps to twenty-four common problems across people and process, systems and assets, and data and decision-making

Drawing on the successes and failures of countless organizations, author Evan Stubbs provides a densely packed practical reference on how to increase the odds of success in designing business analytics systems and managing teams of data scientists.

Uncover what constitutes best practice in business analytics and start achieving it with Delivering Business Analytics.

Table of Contents
Part I: Business Analytics Best Practices
Chapter 1. Business Analytics: A Definition
Chapter 2. The Competitive Advantage of Business Analytics

Part II: The Data Scientist’s Code
Chapter 3. Designing the Approach
Chapter 4. Creating Assets
Chapter 5. Managing Information and Making Decisions

Part III: Practical Solutions: People and Process
Chapter 6. Driving Operational Outcomes
Chapter 7. Analytical Process Management

Part IV: Practical Solutions: Systems and Assets
Chapter 8. Computational Architectures
Chapter 9. Asset Management

Part V: Practical Solutions: Data and Decision Making
Chapter 10. Information Management
Chapter 11. Decision-Making Structures