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Data for Decision-Making

Data for Decision-Making. Module 2: Assessing your Organization’s Data Culture. Overview. Review Assessment Case study application Mission and vision Applied activity Stakeholder analysis Data producer vs. data consumer Critical incidents and data for decision-making Sharing data

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Data for Decision-Making

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  1. Data for Decision-Making Module 2: Assessing your Organization’s Data Culture

  2. Overview • Review • Assessment • Case study application • Mission and vision • Applied activity • Stakeholder analysis • Data producer vs. data consumer • Critical incidents and data for decision-making • Sharing data • Sharing data activity

  3. Review • Data • Data for decision-making • Qualitative vs. quantitative data • Primary vs. secondary data • Dataset • Documentation • Data visualization • Stakeholders

  4. Introducing key concepts • Assessment: To assess something means to determine its merit, worth, or significance. At its most basic level, assessment answers the question: did it work? Adapted from: Patton, M. (2012). Essentials of utilization-focused evaluation. Los Angeles, Calif.: SAGE.

  5. Introducing key concepts Assessment answers the following questions: • What?   • What happens in the program? What services and experiences can the program offer? What outcomes and impacts result from the program? What happened that we didn’t anticipate? • So what?   • What do the findings mean? Why did the program results happen? What judgments can be made? Can we decide if the program was a success or failure? • Now what?   • What can we do with this information? What recommendations can we make? What improvements should be made?

  6. Assessment Case Study

  7. Assessment Step 4 Assess Step 1 Plan Step 3 Review Step 2 Do Assessment Cycle

  8. Assessment Group Activity

  9. Understanding Key Concepts • Vision statement: a postcard for how your organization sees the future. • Mission statement: the role you want your organization to play in that future.

  10. Understanding Key Concepts

  11. Mission and Vision Application

  12. Linking Assessment and Stakeholder Analysis • Stakeholder: a person with an interest or concern in something. For example, who are the stakeholders in this class? Who are the stakeholders at a restaurant? Who are the stakeholders at a football match?

  13. Linking Assessment and Stakeholder Analysis • When you think about your stakeholders, consider: • Communities: Individuals or groups who are affected by the problem. • Change agents: Individuals and groups directly working on the issue. These include community groups, NGOs, and others on-the-ground. • Support groups: Foundations, governments, NGOs, and others with resources to address the issue. • Policymakers: the people who control government responses to the issue.

  14. Stakeholder Analysis Example In 2015, Myanmar experienced severe flooding in many regions from heavy rainfall. The communities in this situation are the villages and populations affected by the flooding. The problem solvers are the aid and relief workers assisting affected populations. The policymakers are mainly government officials and elected members of parliament.

  15. Stakeholder Analysis Example For each stakeholder, think through: • In what ways do they engage with the problem? • In what ways do their goals align with yours? In what ways are your interests in the issue opposing? • How much influence and power do they have to make change? • How do/can they use data to make decisions about the issue? • Where are the gaps in data that impact their decision-making? What would more/better data allow them to do?

  16. Key terms • Data producer • Data consumer

  17. Key terms • Data producer: A user, interface, system, or device that collects data that’s relevant an organization. • Data consumer: A person, user interface, system, or tool that uses the data.

  18. Data Production Sources Data production Sources • Surveys (E.g. household, mobile) • Program data • Crowdsourced data • Weather sensors • Traffic cameras • Satellite and drone imagery • GPS records

  19. Data Consumption Sources How people share data for others to consume • Radio, TV, and online news • Journals, articles, reports • Social media, blogs • Videos, movies, documentaries • Commercials • Speeches, discussions

  20. Activity 2.1

  21. Sharing Data • Knowledge sharing: an activity through which knowledge is exchanged among people, friends, families, communities, or organizations. Adapted from: Knowledge Sharing. (n.d.). In Wikipedia. Retrieved July 1, 2018, from https://en.wikipedia.org/wiki/Knowledge_sharing

  22. Debrief

  23. Questions to Consider • Do you share knowledge in your everyday life? • How does that impact the people around you? • Does it help those people succeed? • How might your organization’s findings help others?

  24. Activity 2.2

  25. Debrief Steps for using data for decision-making: • Identifying a problem or research question • Assessing data available to you and your data needs • Identifying stakeholders • Planning for how data will be used, analyzed, and shared.

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