Big Data Week - Chennai - 2014
•
1 like•2,462 views
The document outlines a roadmap and strategies for rolling out a big data initiative. It discusses developing an initial investment plan, creating focus groups to identify use cases, scoping pilot programs, and defining a strategy to get approvals. The roadmap then involves production rollout, with pilots, analysis of results, and planning for recommendations before full production rollout. Governance models and understanding potential impacts on the business are also addressed.
Recommended
Recommended
More Related Content
What's hot
What's hot (20)
Viewers also liked
Viewers also liked (9)
Similar to Big Data Week - Chennai - 2014
Similar to Big Data Week - Chennai - 2014 (20)
Recently uploaded
Recently uploaded (20)
Big Data Week - Chennai - 2014
- 1. 2014 Big Data Week Conference, Chennai. Big Data Roadmap To Rollout Strategies Shankar Radhakrishnan! @shankariyer! in.linkedin.com/in/shankariyer
- 2. Topics ✴ Big Data Today! ✴ Strategies! ✴ ✴ Plan The Run! ✴ Roadmap To Rollout! ✴ ✴ Challenges, Opportunities! Governance! Q&A "2
- 3. Big Data Total Data Creation & Replication 2013: 4.2 Trillion Gigabytes "3 Source: IDC
- 4. Challenges vs. Opportunities ✴ “How?” vs. “Why?”! ✴ Big Data for Business, than just for IT! ✴ Business Case Justification! ✴ Right Partner’s For Your Big Data Journey! ✴ Evangelization and Alignment! ✴ Business Onboarding! ✴ Execution Plan And Course Corrections! ✴ Talent and Knowledge Management! ✴ Right math for ROI! ✴ Hype, Buzz & Myth "4
- 5. Crawl, Walk and Run ✴ When to start ?! ✴ ✴ Impact On Current Business Processes! ✴ ✴ Big Data Landscape! Impact on Current Ecosystem! Where to start ?! ✴ Business use cases! ✴ IT use cases! ✴ Top-Down vs. Organic Initiatives "5
- 6. Planning ✴ Set and evangelize “business vision”! ✴ Define core initiatives and supporting ones! ✴ Define what a “data driven organization” means! ✴ Check current state of things! ✴ Do data oriented gap analysis! ✴ Setup focus groups to identify use cases! ✴ Classify ideas from a business use case! ✴ Set time lines to get isolate actionable insights! ✴ Evangelize refined mission! ✴ Align business groups "6
- 7. Roadmap ✴ Get management buy-in and approvals! ✴ Plan for programs on awareness, training, work-shops! ✴ Define and prioritize use-cases! ✴ Build multi-disciplinary teams! ✴ Define measurement and success criteria! ✴ Define path-to-production, POC, POV! ✴ Put together Big Data program’s investment strategies! ✴ Define and share ROI! ✴ Build Big Data program pipeline! ✴ Put together program support mechanism! ✴ Setup program review process and governance "7
- 8. Timeline Build initial investment plan! ID business sponsor’s! Align business and IT strategies! Timeline : 4-6 weeks Production Rollout Run pilot! Analyze pilot results! Share pilot results! Plan for pilot recommendations! Timeline : 4-6 weeks Create focus groups to build use cases! Explore industry use cases! Explore implementation scenarios! ID partners and alliances! Do impact assessment! Timeline : 8-12 weeks Scope pilot programs! Build POC implementation plan! ID business, IT, technical POC teams! ID program owners! Set pilot’ criteria! Timeline : 3-4 weeks Create awareness! Conduct workshops! Reach out to business groups! Timeline : 4-6 weeks Define Strategy! Get Approvals! Timeline : 4-6 weeks ID and prioritize use cases! ID pilot and POC programs! Collaborate with partners to plan pilot programs! Timeline : 3-4 weeks "8 Build production plan! Plan production investments! Timeline : 4-6 weeks
- 9. Understand The Impact ✴ Impact on business processes! ✴ Impact on current IT eco system! ✴ Impact on your data providers! ✴ Impact on your data processes! ✴ Impact on your data consumers! ✴ Impact on your partners! ✴ Impact on your finances! ✴ Impact on your sales, marketing strategies! ✴ Impact on your customers, products and services "9
- 10. Governance ✴ Importance of a governance model! ✴ Vision, Mission, Objectives, Goals! ✴ Business Alignment! ✴ Data Ownership! ✴ Operating Model! ✴ Policies and Procedures! ✴ Measurement and Monitoring! "10
- 11. Q&A