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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

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

  • 1.
  • 2.
  • 3. 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?
  • 4. 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)
  • 5. 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
  • 6. 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
  • 7. “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
  • 8. 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
  • 9. 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
  • 10. Let’s Innovate Together Corporate Technology Organization CTO.Evangelize@tcs.com