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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.