slides: five data valuation pillars
TRANSCRIPT
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DATA VALUATION PILLARSSTEVE TODD, EMC FELLOW, VP OF STRATEGY AND INNOVATIONAPRIL 18, 2016
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FIVE VALUATION PILLARSBUSINESS IMPERATIVES FOR THE INFORMATION GENERATION
PredictivelySpotting NewOpportunities
Innovate in an
Agile Way
DemonstrateTransparency
& Trust
Unique,PersonalizedExperience
Always On,Operating in
Real Time
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LEARN THE ANALYTIC LIFECYCLEPREDICTIVELY SPOTTING NEW OPPORTUNITIES
DATA ANALYTICS LIFECYCLE
6
1
2
3
4
5
Discovery
Model Building
Data Prep
Model Planning
Operationalize
Communicate Results
Do I have a good idea about the type of model to try? Can I refine the analytic plan?
Is the model robust enough? Have we failed for sure?
Do I have enough good quality data to start building the model?
Do I have enough information to draft an analytic plan and share for peer review?
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DATA
AGILITY IN APPLICATION DEPLOYMENTINNOVATE IN AN AGILE WAY
75%of application development supporting digital business will be “built” not “bought” by 2020 Source: Gartner
Zero Downtime Upgrade to Production
Commit Code
Change
1
Automate Build & Test
(Unit Test, Static Code Analysis)
2
Store Binaries &
Build Artifacts
3
Automated Integration
Testing
4
Acceptance,Performance
& Load
5 6
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DATA
WHAT’S YOUR DATA ETHIC?DEMONSTRATE TRANSPARENCY & TRUST IN HANDLING DATA
Classify & Protect
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COMPELLING USER EXPERIENCEUNIQUE PERSONALIZED EXPERIENCE
DATA
DATA
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STORE IT WELLALWAYS ON, OPERATING
IN REAL TIME
7© Copyright 2016 EMC Corporation. All rights reserved.
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