using data for informed decision making
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Using Data for Informed Decision Making: SAVI – A Resource
for Central Indiana
SAVI OVERVIEW
WHAT IS SAVI?
www.savi.org
SAVI helps organizations and individuals make data-informed decisions.
• Reliable Data• Actionable Information• Analysis and Visualization Tools• Capacity Building
What is SAVI?
www.savi.org
•Boone•Brown•Hamilton•Hancock•Hendricks•Johnson
•Madison•Marion•Morgan•Putnam•Shelby
SAVI’s Service Area
www.savi.org
• A dynamic GIS-based community information system that provides:
• Data from over 30 data providers• A Website to access and analyze data in charts, maps,
reports, and tables• User support• Education program
• SAVI = Social Assets and Vulnerabilities Indicators
What is SAVI?
www.savi.org
• The SAVI Database can be divided into three components.• Social Assets• Social Vulnerabilities• Geographies (Boundaries & Service Areas)
• These data can be used to understand and model communities.
• Formats: Maps, charts, and tables• 20+ years of data: 1988 – 2013
SAVI Database
www.savi.org
• SAVI provides data in the following major categories:• Arts, Culture, and Recreation• Demographics• Economy• Education• Environment• Health• Housing• Political and Administrative Boundaries• Public Assistance• Public Safety• Sites, Programs, and Agencies (Assets)• Transportation and Mobility
SAVI Database
www.savi.org
• An asset is something that can be a benefit to your community.• Place of Worship• School• Youth Program• Hospital• and more…
• Assets are displayed as specific points on a map.
• Some sites represent vulnerabilities such as hazardous waste sites.
Social Assets
Community Centers
www.savi.org
Social Vulnerabilities• Social vulnerabilities are data that reveal needs in a community.
• Crime• Poverty• Housing• and more…
Social Vulnerabilities
Crimes
www.savi.org
• SAVI vulnerability data are summarized by:
• Counties• Townships• School Corporations• Neighborhoods• Census Tracts• Census Block Groups• and more…
Social Vulnerabilities
www.savi.org
Social Assets and Vulnerabilities
www.savi.org
SAVI organizes data by geographic areas used by the Census Bureau in its data collection and tabulation operations:
• States• Metropolitan Statistical Areas (MSAs)• Counties• Cities• Townships• Census Tracts (~4,000 people or 1,500 housing units)• Block Groups (~1,500 people or 550 housing units)
Some data are also available using local geographies.
SAVI Geographies
www.savi.org
By Counties By Townships
By Census Tracts (Marion County)
By Block Groups (Marion County)
Source: SAVI Community Information System and 2000 Census
Families Living in Poverty
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• Where are vulnerable populations?• What are the demographic and social issues in
a particular neighborhood?• Where are existing resources?• How have things changed over time?• Where should resources be targeted?
What Questions Can SAVI Help Answer?
www.savi.org
• Community Assessment • Identifying need for services• Understanding community issues
of concern
• Grant Application Development• Statement of need• Plan of work (identifying
collaborating partners)• Evaluation (measuring outcomes)
Most Common Uses of SAVI
www.savi.org
• Strategic Planning• Membership/client mapping• Understanding the communities where members/clients live• Understanding need for services• Communicating with stakeholders (visualizing the problem)
• Research• Mapping where clients, patients, students live• Understanding the neighborhood context in which these students live
(demographics, educational attainment, environmental factors, infrastructure, economy, etc.)
• Understanding public health issues such as obesity, health disparities, STDs, etc.
Most Common Uses of SAVI
DATA-DRIVEN DECISION MAKING PROCESS
www.savi.org
7. Communication
6. Decision Making
5. Data Interpretation
4. Data Analysis
3. Data Collection
2. Question Development
1. Framing the Issue
Source: Measuring Success
Data-Driven Decision Making Process
www.savi.org
• How do you know what concerns to study and understand better?
• What do you want to accomplish?• What is your overall objective?
Ask the following questions about your issue:
How did this issue come to my attention? What communities and/or populations are impacted? How does the issue relate to your organization’s
mission?
Source: Measuring Success
1. Framing the Issue
www.savi.org
• Question development is a key step that organizations often skip. This is a crucial step and if missed can complicate the remaining steps of the process and can make it difficult to draw clear conclusions.
Keep these in mind when developing your question(s): Be specific and measurable. Identify the need or the “state of the community.” Determine how it changes over time. Getting better or worse? Find out the extent of the problem. Who is impacted? What communities are impacted? What level of geographic detail is necessary? Consider community “assets,” not just “needs” (what resources
already exist to address this problem?)
Source: Measuring Success
2. Question Development
www.savi.org
Examples of “Good” vs. “Bad” Questions
• Can you tell me everything there is to know about the demographics in the Mid-North Neighborhood?
• How have the demographics of Mid-North changed over the past 5-10 years, and how does that impact my program’s service delivery? Is our service area boundary still appropriate given the changes?
www.savi.org
• Use these tips to collect the right data:
Determine what data you need. Don’t just go after what’s easiest but create a plan to gather the data you truly need.
Seek guidance from subject matter experts. Look for existing quantitative data then determine if
additional collection methods (focus groups, surveys, etc.) are necessary.
Be aware of data quality and limitations. Don’t forget the data already within your organization. Be aware of the timeliness of data. Historical data is
needed when doing trend analysis. If the ideal data isn’t available, consider proxy data to
stand in.Source: Measuring Success
3. Data Collection
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• You don’t need to be a statistician to successfully analyze and later interpret data.
You just need to know how to:
Digest and assess statistical data provided Calculate summary statistics (average, median, standard deviation and
distributions) Look for anomalies, trends, relationships, and patterns Use maps to look geographically at the issue
• Contextualization is critical. Compare your data several ways Longitudinally to see history and trends Demographically Against peers
Source: Measuring Success
4. Data Analysis
www.savi.org
• This is where you make meaning out the data analysis to answer the “So what?” question. What does the data reveal about the
issue? Did it answer your questions? Did you identify any gaps or opportunities?
• Translate into understanding the questions trying to answer
Source: Measuring Success
5. Data Interpretation
www.savi.org
• Data is there to inform your decision-making process, but often times, it leads to more questions than it does answer your original question
• What were revealed in the data: Where there any surprises? If so, did it change your understanding of the issue?
• What were the gaps and opportunities and how does that relate to your mission?
• Use the data analysis results to develop options (e.g., choose 3 underserved neighborhoods where we might target our program), which can be the starting point for gathering stakeholder input
• What else do you need to know to make a decision? Do you need to revisit your questions and do more data collection?
• Examples Strategic planning – engage community, assess mission and goals Grant Development – justify need
Source: Measuring Success
6. Decision Making
www.savi.org
• In the final stage of the process, you must focus on communicating the results of your analysis. Not everyone will be receptive to the information, especially if it highlights weaknesses or challenges anecdotal beliefs commonly held in the organization.
For each stakeholder group:
Create a “story” that helps your audience understand what the data says.
Consider using data visualizations (charts, maps, infograms, etc.) for communication.
Use data to communicate more effectively.
Source: Measuring Success
7. Communication
EXAMPLE CASE STUDY
NORTH EAST CORRIDOR (NEC)DATA BOOK
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1. Framing the Issue
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2. Question Development• Where are the assets in NEC?
• Is crime getting worse?
• Can education lead a turnaround?
• Is unemployment in NEC worse than Marion County?
• Where are the concentrations of poverty in NEC?
www.savi.org
3. Data CollectionData sources• IMPD• Decennial Census• American Community Survey• SAVI• Indiana Dept. of Education• U.S. Postal Service• MIBOR• Marion County Assessor• Others
www.savi.org
4. Data Analysis
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5. Data Interpretation
• What did the data tell us? Age Gender Crime Education
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6. Decision Making• Housing • Culture and Livability • Education • Safety and Crime • Jobs and Training • Business Growth • Youth Engagement • Health and Wellness • Connectivity
Nine “Action Teams” were established based on what the data told us
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7. Communication• Share, Publish, Publicize• Public or Internal
CASE STUDY FROM AUDIENCE
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• Pose a problem• Formulate the questions• Walk through the 7 step data-driven decision
making process
Source: Measuring Success
Audience Participation
QUESTIONS?
Contact Information
Jay ColbertGIS Project ManagerThe Polis Center at [email protected]
Tammy RobinsonManaging PrincipalEngaging Solution, [email protected]