Delivering Business Analytics: Practical Guidelines for Best Practice: 50

PRAISE FOR DELIVERING BUSINESS ANALYTICS

“A stellar collection of real-life experiences of a business analytics expert and a bible for every leader of a business analytics function.”―Kerem Tomak, VP of Marketing Analytics, Macys.com

“(This) book is densely packed with the Zen of business analytics from his wealth of experience and expertise … this is not ten steps to success for mindless management. It richly rewards re-reads and reflection.”―James Mansell, Director of Innovation and Strategic Design, Ministry of Social Development New Zealand

“In this book, Evan Stubbs addresses the many obstacles to delivering solid business results from analytics … an analytics group that cannot demonstrate return on investment will soon lose funding. This book shows how to pick projects with good revenue potential and how to measure the value those projects create. I would recommend this to anyone who manages an analytics group.”―Michael J.A. Berry, Analytics Director, TripAdvisory for Business, co-author of Mastering Data Mining and Data Mining Techniques

“In this new book, Evan clearly outlines how an organization can get more value from business analytics. His descriptions of common problems and challenges, his identification of false solutions and his clarity in describing best practices make for a readable book that practitioners should be able to put together at once.”―James Taylor, CEO, Decision Management Solutions, co-author of Smart Enough Systems and author of Decision Management Systems

“For organizations to capitalize on analytics they have to not only do analysis of data, but they have to convert the results of analytics into products and services that users can use. This is where Evan’s latest book helps. It covers the issues that bear directly on how analytics should be operationalized. This is essentially about embedding analytical solutions in the business of an organization. This process sounds simple in theory but is far from simple in practice. Evan covers the relevant issues such as people, infrastructure, data and processes. If there is a single statement that summarizes what Evan’s book is about it is that the creation of value is more important than insight. Evan’s book is about how to do this.”―Warwick Graco, Senior Director of Operational Analytics, Australian Taxation Office

DELIVERING BUSINESS ANALYTICS

Practical Guidelines for Best Practice

Delivering Business Analytics offers guidance for succeeding on a day-to-day basis, equipping designers and solution architects with an essential, keep-by-your-side reference. Whether you’re a manager, an analyst, or part of a newly created or mature team, this pragmatic, how-to guide gives you the answers to defining and driving best practice in business analytics.

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 for 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 toward 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.

Read Delivering Business Analytics and get the edge you need to make your job easier with proven solutions for:

• Defining what constitutes best practices
• Eliminating bottlenecks in delivery
• Owning your intellectual property
• Effectively managing analytical data
• Coping with information overload
• Driving value through operational analytics

Through a variety of practical examples and pragmatic advice, Delivering Business Analytics helps newly established Chief Data Scientists and grizzled analysts build the right management structures and guiding principles to support an enterprise-level execution—that delivers.