Data and Governance are essential to drive Smart City Context

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Presentation transcript:

Data Governance to Unlock Smart Communities and Cities Presentation Title Data Governance to Unlock Smart Communities and Cities Bettina Tratz-Ryan Research VP Smart City & Smart Ecosystem @btratzryan Presenter's Name

Data and Governance are essential to drive Smart City Context Smart City Operating Governance Framework City Operations = Efficiency City Environment = Citizen Centric Vision Context Information Data Measurements and Key Performance Indicators Smart city can be either on operational efficiency, like smart parking or intelligent lighting, or on citizen services such as e-services (drivers license, schooling, health, senior care), Smart cities can connect both strategies through the exchange of data and information in a contextualized way. The citizen‘s context is multiple profiles, eg. Mom, patient, commuter etc. Governance is the play book on how the processes are intertwined, data is being shared towards accomplishing objectives of smart city roadmap.

Smart Data Data Governance Privacy Analytics Security Insights & Context Exchange

Migration Path for Business Ecosystems Using IoT Data Forward Looking Decisions Aggregation of Scenarios Convergence of Services Level of Interaction Report and Acquisition Operations Management Projection and Simulation Management of Systems Situational Awareness Real time Corrections Asset management Efficiency Telematics Depth of Analytics

Public officials and positions Potholes fixed Crime offenders Filtered by Category: Administration and Finance Buildings Community and Economic Impact Health and Human Services Sanitation 1317 Datasets Datasets include: Public officials and positions Potholes fixed Crime offenders Building codes Affordable Rental Housing Maps

Needed: Data Governance-Attributes of Data Data Attributes Integrity Priority Data Protection Links Time Sensitivity Semantics

Copenhagen

Business Model Plattform Data Marketplace Consumption of Data City Developers Citizen Industry Contextualization Business Model Plattform Marketplace Open Data Pool Production of Data

Elements of Data Governance Data Handling describes data ownership, production, data sharing, access management, as well as privacy, Ethics, security Defines the role of compliance, audit, policy, level of quality integration Defining the clarity, structure, quality, linkage and origin of data Reviews the capabilities of data to information management, technology needed and Mode of Data Exchange Data Orchestration Data Value Data Management Data Oversight

San Francisco: Serving the Homeless San Francisco Navigation Center The Navigation Center relies on coordination from a number of agencies, including the Department of Public Works (DPW), San Francisco Police Department (SFPD), San Francisco Homeless Outreach Team (SFHOT, a program of the Department of Public Health), Human Services Agency (HSA), Mayor’s Office of Housing Opportunity, Partnerships & Engagement (HOPE), Department of Technology (DT), and the Office of the Controller (Controller) in the public sector and Episcopal Community Services (ECS) and Mission Neighborhood Resource Center in the nonprofit sector Collaboration between City, nonprofit and social services Experditing services by new processes on healt benefits, social benefits and housing placement Reduction of processes from 30 days to 10 days Transparency in case management together with Human Services Agency Collaboration to address psychological and social issue of the individual through different lenses and coordinate input http://ecs-sf.org/_documents/Perspectives_NavCenter_Report3.pdf

Recommendations and Next Steps Create a data culture focusing on meaningful data to drive context based business and urban services Identify the data privacy and security issue and center communication with the community around it to create trust Elect or assign an owner to the data life cycle as well as the oversight for the audits and compliance issues Stresstest data governance against the impact of the proliferation of disruptive technology, analytics and transaction models to maintain agility and interactivity