A Data Strategy discovery and discussion deck for various public entities, state and local governments

1. Data Driven California
Sustainable Data Strategy
Picture credit Allan Sanders

2. Making Data Work for Citizens
Services
delivering
Digital Insights
and Data
Analytics
Data
Governance
Tools,
Technologies,
Infrastructure
to Support
Data Services
Strategy and
Roadmap

3. Building Blocks
Open
Data
Metadata
Standards
(POD)
Open Data
Policy
Open Data
Governance
Data
Sharing
Data Sharing
Standards
Data Sharing
Policy
Data Sharing
Governance
Data
Collection
Data
Collection
Standards
Data
Collection
Policy
Data
Collection
Governance
Data
Security
Data
Security
Standards
Data
Security
policy
Data
Security
Governance
Data
Standards
Metadata
Standards
Metadata
Policy
Metadata
Governance
Infrastructure
Strategy and Governance

4. Services Enabled
• GIS enabled information sharing
• Data Visualization and sharing
Citizen
Engagement
• Predictive Analytics
• Likely Scenarios and Decision Support Systems
Data Driven
Decisions
• Enhancement and Automation of Public Facing or
internal Knowledgebase Querying Systems
Artificial
intelligence
• Statistical Inferences and Trends in data over time
to help improve system and processes
Data
Analytics
• Ability to connect data across systems,
departments, agencies
Data
Integration
Infrastructure
Strategy and Governance

5. Strategy Simplified
Strategy and Governance
Governance
Policy
Strategy
•Leverage Existing Governance Processes
•PAL
•Security
•Enterprise Architecture
•AIO/CIO Forums
•Open Data Governance at Department and Agencies
•Create Statewide Data Governance Committee to focus on Data Driven Government
Insights
•Statewide Policies on:
•Data Governance
•Data Security
•Data Standards (Meta Data)
•Data Inventory (Critical and Open Data Systems)
•Data Sharing (Inter and Intra Departments and Agencies)
•Open Data
•Statewide Data Strategy:
•Statewide Data roadmap
•Data Ethics, Privacy and Security
•Data Standards (metadata on forefront)
•Data Driven Government
•Data Driven Government Services and Applications (AI, Predictive Analytics, Chat
Bots, Automation of Decision Support Systems)

6. Stable yet Modern Infrastructure
Infrastructure
Education
Data Science
Curriculum
Data Tools
and
Technologies
Classification
for Data
Scientists
Data
Stewardship
Addressing
Data Bias
Tools and Technologies
Data
Integration
Bus
Analytics
enabling
Services
Artificial
Intelligence
Data Security
Data
Classification
Data Privacy
and Encryption
Data Sharing
Standardization

7. Next Steps
Data Strategy
and Roadmap
Establish
Governance
Enable
Modern
Infrastructure
Provide
Digital
Insights /
Data Services