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Virtualizing Enterprises: Challenges

Virtualizing Enterprises: Challenges. Harrick M. Vin Vice President and Chief Scientist Tata Research Development and Design Centre, Tata Consultancy Services (TCS) January 2010. Enterprise Goals. Enterprise Goals. Key Message. Enterprise Transformations.

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Virtualizing Enterprises: Challenges

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  1. Virtualizing Enterprises: Challenges Harrick M. Vin Vice President and Chief Scientist Tata Research Development and Design Centre, Tata Consultancy Services (TCS) January 2010

  2. Enterprise Goals Enterprise Goals

  3. Key Message Enterprise Transformations Why analytics-led transformations? • Key message: • Many “how to transform” mechanisms … Yet, transformation is difficult • Challenge: What, when and why ! (It’s all about policies) • Analytics-led automation • Key discussion topics: • How does it work? What can it do? • Virtualization in Enterprise: Example

  4. Why Analytics? Enterprise IT Transformation Challenges Today’s best practice: Manual, intuition-based strategy derivation Implication: Many implementation “surprises”  Many failed transformation programs

  5. How Does It Work? Analytics-led Transformations 2 • Analyze “as-is” state; • Joint analysis of business process, • applications & infrastructure • Understand operations support Monitor an operational enterprise; data cleansing and preparation for analytics 3 1 • Analytics-led Transformation: • Fact-based & Automated Strategy Derivation • Transformation planner; • Address the “what”, “when” • and “why” questions 4 Execute the transformation strategy using various “how” mechanisms & processes Industry Best Practices Emerging Technologies

  6. Virtualization Virtualization in Enterprises

  7. Virtualization Deriving Enterprise Virtualization Strategy

  8. Virtualization DEMO iTransform • What does it do? • How does it do it?

  9. Concluding Remarks Beyond Virtualization

  10. For more information, contact: Harrick Vin (harrick.vin@tcs.com)

  11. The Problem Infrastructure Inventory 4000+ business apps Average age: 3.5+ years 10-20 years: 190+ 20+ years: 60+ Significant overlaps 25+ account opening apps 10+ authentication apps 12+ credit decision engines 15+ BI tools, … 30,000+ servers 5+ OS w/ 20+ versions 10+ database products 2500+ app server instances 25+ middleware envr. 35+ programming languages 200,000+ desktops 10+ petabytes of storage 197,000 e-mail boxes, … Infrastructure Fact: Scale & Complexity Top-tier bank in the US

  12. The Problem Infrastructure Fact: Scale & Complexity

  13. The Problem Plant Mgmt Compliance Operation Support Application Dev Teams Security Capacity Planning Infrastructure Fact: Scale & Complexity Silo-based understanding  Little understanding of the global picture !

  14. For more information, contact: Harrick Vin (harrick.vin@tcs.com)

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