data analytics and the new vision · →embed analytics within specific functions before doing it...
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Data Analytics and the New Vision
Georgia Technology AuthorityTechnology Summit
May 13, 2019
How to overcome barriers and establish the structure to support analytic growth across agencies and states
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• Former State CIO of Ohio• Former NASCIO President• Former NSGIC President• 20+ year state public servant• Realized $162M in savings for Ohio• Successfully launched Ohio’s statewide analytics program
MANAGING DIRECTORPublic Sector
STU DAVIS
Passionate about using data analytics and digital transformation to solve critical business challenges.
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“Insanity: doing the same thing over and over again and expecting different
results. ”
“We cannot solve our problems with the same thinking we used when we
created them”
Data Analytics and the New Vision
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Four Levels of Data Analytics
→ DESCRIPTIVE
→ DIAGNOSTIC
→ PREDICTIVE
→ PRESCRIPTIVE
WHAT SHOULD HAPPEN?
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{ }1Data as a Strategic Asset
Identifying the Potential
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The Data Analytics Pyramid
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States can begin to solve problems when they view data as their most valuable asset.
Save lives
Create safer states
Protect vulnerable citizens
Provide automated government
Secure governance and control
Bolster citizen trust in data collection
Progressively improve services through insights
Increase efficiency through intelligence networks
Optimize fraud detection, mitigation, and prevention
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{ }2Commitment as Leadership
Establish the Statewide Vision
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Leaders work together to determine the vision.
CXO
Define Meaningful Metrics
Foster Communication Across Divisions
Establish the Sources of Truth1 2 3
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{ }3Clear The Way
Connect Silos and Break Barriers
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How does a leader pave the path for data sharing?
ADOPT GREATER TRANSPARENCY AND
COMMUNICATION
LINK EXISTING DATA TO PROVIDE A CLEAR, HIGHER-VALUE SERVICE OFFERING
COMMUNICATE BEST PRACTICES AND
SUCCESS STORIES
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{ }4The Case for Citizen Data
Transparency in Usage
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More Data
Complete Datasets
Privacy Protection
Governments have an opportunity to create more transparent, personalized services.
Citizens trust delivered value.
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This reality is neither far away nor unattainable.
Better agency
outcomes Personalized, inclusive citizen
services
Increased trust of
government data use
More efficient use of existing
agency data
Single citizen record
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{ }5Framework Components
Strategy - Implementation
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Analytics Program Framework
Data discovery is not supported by traditional operating models. You must make room for it.
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{ }6Exploratory Projects
Use Discovery to Prove Value
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possible
→ Embed analytics within specific functions
before doing it cross-functionally
→ Leverage modern platforms so you can scale
your investments and move quickly
feasibleBefore tackling the Art of the Possible,
prove out the Art of the Feasible.
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{ }7Operationalizing Analytics
Closing the “Last Mile”
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Identifying the Last Mile Gap
Commitment to statewide analytics must extend through the end of implementations to support current and future processes.
WHAT SHOULD HAPPEN?
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Thank You!