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5 Keys to Business Analytics Program Success

by John Boyer, Bill Frank, Brian Green, Tracy Harris, Kay Van De Vanter

Bibliographic information

Title5 Keys to Business Analytics Program Success
AuthorsJohn Boyer, Bill Frank, Brian Green, Tracy Harris, Kay Van De Vanter
PublisherMC Press Online
Publication DateOctober 2012
SubjectComputer: Information Technology
Pages169


Description 

Business Analytics is becoming increasingly strategic to all types of organizations. It leads to higher business performance and helps organizations outperform their peers by 2.2 times,according to a recent IBM Institute for Business Value study. However, many organizations appear to struggle in creating impact using Business Analyticswith factors related to people and process being some of the most common obstacles to achieving analytic maturity.

5 Keys to Business Analytics Program Success is a work based on the combined experience of 10 organizations that display excellence and expertise in Business Analytics. They share best practices, discuss the management aspects and sociology that drive success in Business Analytics Programs, and uncover 5 key aspects behind the success of some of the top business analytics programs in the industry.

In this book, you will learn about:
  • Creating and managing a changing Business Analytics Strategy, aligning business priorities to technology innovation
  • Quantifying and demonstrating tangible business value
  • Creating an Analytics Center of Excellence and organizing your people for success
  • Implementing program processes that balance agility, empowerment, and control
  • Architecting a Business Analytics technology solution with future innovation in mind

By reading 5 Keys to Business Analytics Program Success, organizations can learn how the Business Analytics Program can help manage strategy, value, people, process, and technology to translate analytic strategy into actionable insight and achievement.



About the Authors 

John Boyer ---

John Boyer is manager of the BI Advisory Team at The Nielsen Company (www.nielsen.com). There, he oversees adoption, enablement, and internal consulting for all things BI. Before joining Nielsen, John spent several years as a BI architect and trusted advisor at IBM. After graduating from medical school, his aptitude, passion, and bedside manner took him first to a healthcare clinic, where he rose to Director of Finance and Information Systems. John has spent the past 15 years consulting in software development, business intelligence, and data warehousing. He is chair of the Illinois Cognos User Group. As a conference speaker, John has been invited to speak at a number of national events, including Information on Demand, Cognos Forum, and the Composite Software User Group.


Bill Frank ---

Bill Frank is the Manager, ITGF BI Practice, at Johnson & Johnson (www.jnj.com). He has more than 25 years of experience in decision support and business intelligence and is a certified Project Management Professional (PMP). Bill has worked in several major companies, including AT&T, Time Warner, and most recently Johnson & Johnson. At J&J, Bill has played a key role in the development of BI solutions, organizational model, governance, and practices and in evangelizing BI across the enterprise. Bill is a founding member of the J&J BI Center of Practice and co-leads this 300-member internal group focused on leverage, communication, and sharing proven practices.Bill also serves as the liaison to the IBM Cognos executive, marketing, and technology teams. He teamed with other J&J teams to lead the creation of the IBM Cognos enterprise agreement and the shared environments that are key to supporting J&J's standardization and consolidation efforts. Currently, Bill is developing enterprise data warehouse and BI strategies to support the J&J Global Finance organization. He is also a member of the IBM BI Excellence Advisory Board and several other external organizations focused on BI technologies.


Brian Green ---

Brian Green is Manager of Business Intelligence and Performance Management at BlueCross BlueShield of Tennessee (www.bcbst.com). He has 30 years of information management experience in the insurance industry, with expertise in process improvement and organizational development to align delivery of solutions with business strategy.





Tracy Harris ---

Tracy Harris is Senior Manager, BI Excellence, at IBM (www.ibm.com). She is responsible for chairing the BI Excellence Advisory Board and managing the BI Excellence Program and Champion initiative at IBM. These programs are designed to help organizations achieve success, business value, and excellence in their BI and performance management initiatives and are defined through the sharing of best practices, research, and guidance from industry leaders and subject-matter experts. Tracy has worked with Fortune 500 organizations and government organizations around the globe to gather and research best practices in achieving excellence, and she shares this research through workshops and speaking engagements worldwide on the topic.


Kay Van De Vanter ---

Kay Van De Vanter is an information management domain architect and enterprise BI architect for The Boeing Company (www.boeing.com), with more than 12 years of experience in IT and business intelligence areas. For the past seven years, she has led Boeing's Business Intelligence Competency Center team and has worked with several other key information management teams to drive the standardization and alignment of BI initiatives at Boeing. Kay has also collaborated with industry BI professionals, user groups, and teams to help drive innovation and quality in the BI tools used by Boeing. She is currently partnering with others to develop an enterprise BI and technology strategy in support of Boeing's business goals. Kay is a member of IBM's BI Excellence Advisory Board and BI Customer Advisory Board, as well as other external user groups focused on BI technologies and best practices.




Contents 

Contents
Introduction The Business Analytics Program and Keys to Success
The Business Analytics Program: Agility and Change
Business Analytics Maturity
The Business Analytics Program

Chapter 1 Key #1: Strategy
The Strategy Framework
Maturity of a Business Analytics Program Strategy
Risks of Strategy Fragmentation
Strategy Alignment
Maturing the Program with Business Domain Architectures
Getting Started: Assessment of Strategy
Creating the Kickoff Point
Prioritization and Roadmap
Metrics Framework and Measurement
Managing a Changing Strategy
Case Study on Strategy: Mueller, Inc.
Strategy: Practical Tips for Identifying, Assessing, and Prioritizing Metrics
Strategy Checklist

Chapter 2 Key #2: Value
Describing Value: The Business Value Hierarchy
Step 1: Building a Business Case
Step 2: Building the Value Portfolio
Step 3: Business Analytics Metrics and Feedback
Filling the Value Void
Case Study on Value: IBM
Practical Tips for Measuring and Demonstrating Value:
Creating the Business Value Portfolio
Value Checklist

Chapter 3 Key #3: People
Maturity of the Business Analytics Program
Executive Involvement
Organizational Design: The Business Analytics Center of Excellence
Skills, Talents, and Roles
Offshore or Outsource?
How Many Team Members Should Be in a Center of Excellence?
Relationship Management, Communication, and Evangelism
People: Success or Derailment
Case Study on People: Martin's Point Health Care
Practical Tips for Organizing People: Designing an Analytics Center of Excellence
People Checklist

Chapter 4 Key #4: Process
Maturity of the Business Analytics Program
Stakeholder Identification and New Project Start
Communication, Education, and Adoption
Proven Practice Sharing
Developing an Advise and Consult Framework
Streamlining Requirements Gathering
Agility in Development
Governance
Processes for Technology, Standards, and Innovation
Business Analytics Process Design
An Agile Business Analytics Process
Case Study on Process: Daimler Trucks North America
Practical Tips: How to Keep Business Analytics Processes Agile
Process Checklist

Chapter 5 Key #5: Technology
Understanding Business Analytics Technology Maturity
To Standardize or Not to Standardize?
To Build or Buy?
Evolving a BA Technology Strategy
Business Strategy Requirements Evolution
Architecting for User Adoption and Growth
Deployment Approaches
Innovation
Technology Growth and Maturity
Self-Service Impacts with Technology
Converging Capabilities and Technology
Case Study on Technology: Elie Tahari
Practical Tips: Selecting Technologies for Your Business Analytics Needs
Technology Checklist

Conclusion



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