TCS Point of View Session - Optimize by Dr. Jeffrey Tew, Chief Scientist, TCS
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TCS Point of View Session - Optimize by Dr. Jeffrey Tew, Chief Scientist, TCS

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Operating under increasing constraints, CIOs need to have their resources working optimally — that is "faster", "more reliably", with added complexity and functionalities with reduced costs. Get new ...

Operating under increasing constraints, CIOs need to have their resources working optimally — that is "faster", "more reliably", with added complexity and functionalities with reduced costs. Get new ideas on how "information optimization" can enable "resource optimization" without stretching the budget.

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    TCS Point of View Session - Optimize by Dr. Jeffrey Tew, Chief Scientist, TCS TCS Point of View Session - Optimize by Dr. Jeffrey Tew, Chief Scientist, TCS Presentation Transcript

    • Optimize = Address the mismatch between demand and supply Matching supply to demand  Lower cost, greater stability, better quality What is it? Key driver: Change (expected or unexpected) Why is it required? Demand Changes Triggered by business Supply Changes Triggered by environment and technology Levers: Right-size, Right-source, Reengineer, Standardize, Share How is it done?
    • Demand Changes Merger and acquisition Reengineer (e.g., IT rationalization and simplification) Variation in workload Right-size and right-source (e.g., Construction of a hybrid cloud) Reduction in IT budget Standardize, right-size/source, reengineer, share (e.g., Optimize people, process and technology) Supply Changes Emergence of new products and service providers (e.g., IaaS, PaaS and SaaS solutions) Reengineer (e.g., Technology and services transformation)
    • Understanding demand: Lack of end-to-end transparency  Silo-based understanding  Silos: Business vs. IT vs. Infrastructure; CTB vs. RTB Supply diversity: Too many, rapidly changing solution options  Characterized by constraints, costs, benefits, risks, side-effects  No-one-size-fits-all; Difficulties in deriving a custom solution Heavy reliance on tacit knowledge, intuition and experience  People dependent; Variable quality; Low agility
    • 1 Understand demand  Combine TCS’ end-to-end services understanding with analytics 2 Characterize supply  Learn from vast experience in traditional supply-chain management  Standardized catalogue of products and services 3 Automate optimization planning  Virtual prototyping of IT
    • “Facebook for IT” (Entity-relationship models and analytics) Top-down Service Modeling (Business  IT  Operational Services) Everything-as-a-service (Hierarchical service composition) Combine TCS’ end-to-end services experience with analytics 1
    • Database of technology product and services options  Characteristics (e.g., compatibility, quality)  Pricing, support and warranty information  Financial engineering options Challenge  Continuous evolution of supply options Supply Management Operations Finance S&OP Forecasting Market Insights Manufacturing Optimized Network Optimized Pipeline Inventory Distribution Planning Demand Shaping Optimized Cost Structures Collaboration Transportation Key idea: Learn from vast knowledge about traditional supply-chain management 2
    • Key Idea: “Virtual prototyping of IT” (like manufacturing) TCS eTransformTM platform: Automated, fit-for-purpose derivation of optimization plan Benefits  Speed and accuracy of planning  Evolvability: Rapid adaptation of optimization plan to accommodate emerging conditions 3
    • Let’s Innovate Together Corporate Technology Organization CTO.Evangelize@tcs.com