Building Big Data Analytics Center of Excellence v 3.0 Final
3 likes777 views
A document outlines plans to build a Center of Excellence for Big Data Analytics. It will provide expertise, manage governance practices, and support analytics projects. The COE will maximize quality and efficiency of analytics across business lines. It will focus on business strategy alignment, best practices, advice, community services, communication, technical architecture, support, education, and governance alignment. Keys to success include having a clear strategy, demonstrating value, engaging people, establishing processes, and selecting the right technologies.
Building Big Data Analytics Center of Excellence v 3.0 Final
- 1. Building Big Data Analytics Center of Excellence Dr. Mohan K. Bavirisetty Chief Innovation Officer Modern Renaissance Corp. @innovarch #bdadv
- 2. <Enticement> Announcement All attendees get some of the collateral referenced here All those who participated in discussions get additional collateral - e.g. eBooks Best Prize goes to the one who posed most original and intriguing question.
- 3. Roadmap In God we trust. All others must bring data. - W.E. Deming ● What is Big Data? ● Business Value of Analytics ● What is different about Big Data Analytics? ● Big Picture on Big Data Analytics ● Mission Statement ● COE Value Proposition ● COE Focus Areas ● 5 Keys to Success ● Engage in building a Smarter Planet ● Questions & Discussions
- 4. What Is Big Data? Big data is high-volume, high-velocity and high- variety information assets that demand cost- effective, innovative forms of information processing for enhanced insight and decision making. Source: Gartner Group. Image credit: Greenbookblog.org
- 5. What Is Big Data? Big data is high-volume, high-velocity and high- variety information assets that demand cost- effective, innovative forms of information processing for enhanced insight and decision making.
- 6. Success from Ground up - A Case Study involving customer service Problem Statement: Tracking customer complaints is taking too long and expensive Challenge Response: Employ Analytics to provide actionable intelligence Results: Source: Simplify360 Analytics
- 7. What’s so different about Big Data Analytics? Source: Analytics in Big Data Environment. by Dr. Lisa Sokol and Robert Ames IBM RedGuide for Business Leaders
- 8. Business Value Hierarchy of IT Robert Urwiler and Mark N. Frolick,, 2008
- 9. Big Picture on Big Data involves Enterprise Modernization Adapted from Eight Disciplines of Enterprise Modernization by Dr. Mohan K. Bavirisetty
- 10. What is our Purpose?
- 11. Gearing up for growth In the new economy … all Enterprises have to do three things to remain competitive: improve, innovate and expand. – Peter F. Drucker
- 12. What is a Center of Excellence? “A formally appointed and documented body of knowledge and experience on a particular subject area with the goals of providing expertise, managing governance practices, and supporting projects associated with the subject area.” Source: Forrester Research, Inc. Image credit: School of Athens, by Raphael
- 14. Why is An Analytics COE Essential? 1. Maximizes the quality, efficiency and application of analytics across all lines of business, resulting in greater confidence and consistency in decision-making 2. Leads to a higher success rate for business analytics deployments, delivering more value at less cost and in less time 3. Drives end user adoption, leading to a smoother path to improved outcomes 4. Provides a formal organizational structure, enabling your organization to strike the right balance between agility and sound management in deploying analytics technologies 5. Reduces the gap between Business and IT, improving time-to-market and responsiveness to change
- 15. COE Focus Areas Boyer, et. Al. (2012) 5 Keys to Business Analytics Program Success
- 16. COE Focus Areas ● Business Strategy Alignment ● Best Practices & Standards ● Advise & Consult ● Community Services ● Communication and Evangelism ● Enterprise Technical Architecture ● Support ● Education ● IT Governance Alignment ● Data Governance Alignment
- 17. 5 Keys to Success of Analytics Program ● Strategy ● Value ● People ● Process ● Technology Boyer, et. Al. (2012) 5 Keys to Business Analytics Program Success
- 18. Strategy ● Establish the vision to use Analytics for better business outcomes and beyond ● Connect the COE Mission to the priorities of your business ● Find Analytics Champions inside the company to sponsor COE ● Build a roadmap identifying information sweet spots that reflect priorities and key objectives of business ● Build a COE steering committee involving key stakeholders from IT, Finance and Business
- 19. Value ● Identify a core team to continually measure and report on the value of Analytics projects ● Create a business case for each Analytics project and demonstrate increase in business effectiveness iteratively ● Capture benchmarks that can demonstrate value ● Maintain a Business Value Portfolio ● Communicate the success across the organization “By using Business Analytics to understand sales patterns, match buying to sales, increase sell-through and cut returns, we gain a dramatic return of investment” - Nihad Atyaman, Elie Tahari
- 20. People ● Assess Current Analytics Culture and Maturity ● Encourage executive involvement ● Map your stakeholders to COE steering committee ● Create virtual teams and corresponding role maps ● Fund training and certification programs ● Cultivate a Data and Decision Sciences practice ● Encourage people to develop cutting-edge skills
- 21. Process ● Develop and customize an Agile BI process and Analytics-Oriented BI Architecture ● Adopt it to Big Data - include both real-time and batch data ● Emphasize on Data quality ● Establish Data Governance program - use it drive best practices ● Have enablement and adoption programs ● Review and Revise processes and programs regularly “Evidence-based decision-making (aka Big Data) is not just the latest fad, it's the future of how we are going to guide and grow business.” - Kristen Hammond, CTO, Narrative Sciences
- 22. Process - Analytics Oriented BI Architecture Source: Information Management Jan/Feb 2011
- 23. Technology ● Assess your stakeholder needs ● Engage the star-players both on IT and Business to help in Technology selection ● Engage the vendors to build POCs for your business case ● Ensure Technologies are compliant with standards ● Avoid vendor lock-in ● Architect your solutions to promote self-service ● Build for change - growth and user adoption
- 25. References Bavirisetty (2008) Open COE Method. Building Centers of Excellence for Competitive Advantage. Bavirisetty (2010) 8 Disciplines of Enterprise Modernization. Boyer, et. Al. (2012) 5 Keys to Business Analytics Program Success Drucker(1986) Discipline of Innovation, Harvard Business Review Hammond(2013) The Value of Big Data isn’t the Data. Harvard Business Review blog IBM(2013) Unlock Big Value in Big Data with Analytics IBM Redbooks publication MIT & SAS (2013) From Value to Vision:Reimagining the Possible with Data Analytics INTEL (2013) What is Big Data and Why Should You Care? InterSystems(2011) Big Data Case Studies and Key Considerations Porter (1998) Competitive Advantage: Creating and Sustaining Superior Performance Talend(2013) Demystifying Big Data Complexity
- 26. about.me Dr. Bavirisetty is the CIO at Modern Renaissance, a Thought Leadership company that helps businesses, organizations and individuals to realize unprecedented levels of innovation through strategic design thinking, innovation platforms and disruptive technologies. Before he founded Modern Renaissance, he worked with IBM, Pegasystems, Sybase and with a number of clients helping them modernize their enterprises as well as build smarter systems, platforms and solutions. Dr. Mohan K. Bavirisetty [email protected] about.me/innovate4good @innovarch Research Assistant: Rachel Fleming [email protected]