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SMART CITIES: No Brainer. Alliance for Innovation – Transforming Local Government April 4, 2018 Jose De La Cruz, Chief Innovation Officer City of San Antonio. City of San Antonio. Population: 1.4 M Council-Manager form of Government 12,000 employees. 2. SmartSA Timeline.
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SMART CITIES: No Brainer Alliance for Innovation – Transforming Local Government April 4, 2018 Jose De La Cruz, Chief Innovation Officer City of San Antonio
City of San Antonio • Population: 1.4 M • Council-Manager form of Government • 12,000 employees 2
SmartSA Timeline SmartSA Visioning Workshop 2018 GOVERNANCE 2016 LAUNCH 2017 Nine projects as part of FY 2017 Budget VISION SmartSA Partners Workshop Smart City Readiness Workshop Established Governance Structure 8
SmartSA VISION & FOCUS AREAS • Over 20 City executives participated in the visioning process • Priority Challenges identified: • Mobility • Access to Services • Tools for Resident Feedback • At-Risk Youth • Trade/Tech Education Programs • Internet Access for All 4
SMART CITY VISION “To build a connected, inclusive, and resilient community supporting a high quality of life.” 5
MOBILITY With no change, by 2040, vehicle miles traveled will double, reducing the quality of life for all residents. 6
ACCESS TO SERVICES Residents are not always able to engage City services through their channel of choice, limiting exceptional customer experiences. 7
SMARTSA GOVERNANCE STRUCTURE Leadership SmartSA Executive Committee Collaboration Layer Advisors Working Groups Accessto Services Environment & Utilities Infrastructure & Data Mobility Task Groups General Public 10 Digital Town Halls
COMMON ASSETS IntellectualProperty NetworkFiber Software Buying Power Data Right of Way NetworkTowers Master Plans 13
SHORT-TERM & LONG-TERM PROJECTS 1 Mobility Example: Align transit agency data and third party data to optimize movement around city. Use data to plan future transit projects and coordinate with ecosystem of city stakeholders. Data can help inform employers to help optimize commutes to work. Access to Services Example: Optimizing services to serve resident life events can consolidate processes, like signing up for energy and water services through one city portal. This data can turn into predictive analytics to best serve residents. 4 5 2 11
SKILL BUILDER Understanding the Problem 7
SmartSA Project Example 3-1-1 Mobile App
Understanding the Problem 1 Identify Key Pain Points for Residents Discuss among your table the specific problem you are working to understand. 5 minutes Identify Three Potential Causes of the Problem As a team, list three potential causes of that problem. 5minutes 2 15
Understanding the Problem 3 Ask, Why? As a group, discuss each cause identify. Ask “why is this the case?” and add the answer below. Continue the process and ask “why?” three times for each cause area. 5 minutes Step Back Identify problems that your city can realistically address in the next 1-3 years. Examine the responses and eliminate any answers that are too broad or too big. Eliminate any answers that are too narrow. 5 minutes 4 15
Understanding the Problem 5 Contributing Factors Create a few statements that describe the contributing factors of the problem. 5 minutes Create Brainstorming Questions Take the statements created and create open-ended brainstorming questions. How might we…? 5 minutes Brainstorm Solutions 5 minutes 6 7 15
Understanding the Problem A Gather Data Map Stakeholders Create Personas Map Out the Customer Experience B C D 15
SMART CITIES: No Brainer Alliance for Innovation – Transforming Local Government April 4, 2018 Jose De La Cruz, Chief Innovation Officer City of San Antonio