The document discusses an iterative methodology for data modeling that allows for rapid iteration. It emphasizes starting with a business-focused model and evolving it over time through an integration approach that incorporates feedback and new requirements in subsequent iterations. This iterative process ensures the models and results continue to meet business needs. The Kalido Information Engine supports this approach through features that allow for business-centric modeling, an iterative development process, data integration and automation, and accurate timely data across the entire enterprise.

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Rapid Iteration Methodology
Models

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Agenda
The Iterative Method
Why Data Iteration matters
Business focused models
Demonstration
What is the payoff?

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Program Management
Operations ManagementDeployment
Project Management
Development Project Management
Architect
Design technical and
business solution Operate
Manage,
track benefits
Build
Production
components
Deploy
Integrate,
test, rollout
Define
Highlevelrequirements
Iterative Methodology - Overview
Evolve
Model
Iterative
pilots
Business involvement

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The “Iterate Phase”
Configure
& Load
Analyze, Model
& Design
Test &
Validate
Construction &
& Deploy Phases
Define
Phase
•Adaptive Project
Management
• Version Control
Requirements
Architect Phase
Iterate Phase

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Why Iteration Matters
Data Science is, almost
by definition, iterative
One question will lead to
another
Experimentation
New requirements, more
data, new subject areas

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An iterative approach to the enterprise model
modeling
paradigm &
principles
integration
model
extension
Sales
Marketing
Distribution
Supply Chain
eCommerce
Partners
HR
Finance
Manufacturing
Value
Time
• The Integration approach allows iterative
development
• The model can be evolved over time
• Based on the principles, the extensions
get simpler with each extra iteration
• Eventually, new subject areas are
incorporated completely within the model

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Business Focused Model
Start with a model
– Design logically, deploy physically
– Support iterations

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Demonstration

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What is the payoff?
Better quality data
– Better analysis
– Better decisions
– Better business results
More timely data
– Reduce guesswork and
estimations
– Act with confidence
More efficient
– Conserve your resources
– Keep pace with change

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Summary
Iterative Methodology supports Data Science
A business-centric, iterative model
– Keeps pace with changing requirements
– Ensures results match needs
Kalido Information Engine supports…
– Business focused modeling
– Iterative approach
– Process automation
– Accurate data – fast!
For the entire enterprise

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What Are Your Next Steps?
Schedule a session with a Kalido Expert for my
business and I.T. colleagues
Attend additional “how-to” webinars
Schedule a 1:1 Discovery Session with one of our
experts and get hands on time with the tool

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Thank you