Regina Food Summit - Data for Good
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This is a presentation and workshop that Data for Good delivered during the Regina Food Summit put on by the City of Regina and the Regina Foodbank, on December 10, 2021.
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Regina Food Summit - Data for Good
- 2. #dataforgoodyqr Our Purpose Today Business problem Bring order to the data Data becomes an asset
- 4. #dataforgoodyqr Build data literacy in social focused organizations Contribute positively to the data community in Saskatchewan Our Purpose
- 5. #dataforgoodyqr Data For Good - Leadership Kevin Hayes Scott Wells Maryna Moskalenko Josh West Kody Rogers Community Lead Arnav Jatukaran Data Viz Lead
- 6. #dataforgoodyqr Structure Chapters Lead Community Lead Data Viz Lead Meetups Lite Projects Major Projects Data Viz Challenges
- 9. #dataforgoodyqr Data Viz Champion People’s Choice Data Viz Challenge
- 16. #dataforgoodyqr Examples - Regina Food Bank
- 17. #dataforgoodyqr Examples - Sofia House
- 18. #dataforgoodyqr Other Examples - Macmillan National cancer support charity Macmillan used data analysis about past donors and the amounts they gave to project their income over a long period. They sought to increase return on investment with their World’s Biggest Coffee Morning campaign by uncovering their motivations for taking part in the event, with the help of surveys and questionnaires. From this data and analytics, they reworked their messaging to appeal to their key demographic, ultimately overshooting their fundraising target by millions.
- 19. #dataforgoodyqr Other Examples - Macmillan National cancer support charity Macmillan used data analysis about past donors and the amounts they gave to project their income over a long period. They sought to increase return on investment with their World’s Biggest Coffee Morning campaign by uncovering their motivations for taking part in the event, with the help of surveys and questionnaires. From this data and analytics, they reworked their messaging to appeal to their key demographic, ultimately overshooting their fundraising target by millions.
- 20. #dataforgoodyqr Other Examples - Prior’s Court Berkshire charity Prior’s Court runs a school, supported living centre, and training and development centre for young people with autism, learning difficulties, and complex needs. The charity collected over 10,000 ‘diary’ entries a week about activities young people were taking part in, such as watching TV, playing a game, going for a walk, or eating and drinking, and analysed them on a bespoke digital platform. Data analytics allowed them to understand what activities were seeing the most benefits, as well as to predict when seizures might happen based on certain triggers.
- 23. #dataforgoodyqr Potential discussion topics: - Do you have the appropriate business problems identified that you would like data to help you inform? - Do you have the data you need to tackle organization challenges, if not, what are you missing? - Do you have the tools you need? - Collect data, analyze data, visualize? - Do you have the skills inside your organization you need to use the data? - What are the limiting factors? - Executive buy-in, funding, knowledge, et.c When it comes to using data in your organization, what what is going well? Where do you run into roadblocks? Breakout Session Document your organization’s key themes
- 25. #dataforgoodyqr Future State - Possibilities
- 27. #dataforgoodyqr Future State - Engagement Models Vestibulum congue Vestibulum congue Vestibulum congue Vestibulum congue Standardized Harmonized Coordinated Autonomous
- 28. #dataforgoodyqr Future State - Engagement Models ● Using the same systems and reporting mechanisms ● Ability to link data ● Ex: common CRM ● Easy to compare and share ● More difficult to support and maintain ● Requires tight governance Standardize d ● Similar reporting or data capture ● Some alignment of processes and definitions ● Possible to link data ● Ex: CRM’s or methods to capture data with common standards ● Some flexibility in approach, but outputs are aligned ● Requires lots of continued engagement Harmonize d ● Similar reporting ● Definitions are generally the same ● Ex: Everyone has a CRM or process to capture data with similar outputs ● Generally following similar processes ● Processes, tools will differ ● Outputs will be similar Coordinated ● Everyone has their own processes, definitions, standards and reporting ● Ex: Nothing common ● Allows for flexibility ● Difficult to compare or share across groups Autonomous
- 29. #dataforgoodyqr Future State - Engagement Models Autonomous Harmonized Standardized Coordinated
- 30. #dataforgoodyqr Exercise In your groups, review the engagement models, discuss what could work best for this group
- 32. #dataforgoodyqr Objectives and Key Results (OKR’s) whatmatters.com OKRs is a collaborative goal-setting methodology used by teams and individuals to set challenging, ambitious goals with measurable results. . OKRs are how you track progress, create alignment, and encourage engagement around measurable goals.
- 33. #dataforgoodyqr Objectives and Key Results (OKR’s) Objectives An Objective is simply what is to be achieved, no more and no less. By definition, Objectives are significant, concrete, action-oriented, and (ideally) inspirational. When properly designed and deployed, they’re a vaccine against fuzzy thinking and ineffective execution. Key Results Key Results benchmark and monitor how we get to the Objective. Effective KRs are specific and time-bound and aggressive yet realistic. Most of all, they are measurable and verifiable. You either meet a key result’s requirements or you don’t; there is no gray area, no room for doubt. At the end of the designated period, typically a quarter, we do a regular check and grade the key results as fulfilled or not. whatmatters.com
- 34. #dataforgoodyqr Objectives and Key Results (OKR’s) whatmatters.com I will (Objective) as measured by (Key Results). “I will fix the website for the vast majority of people as measured by 7 out of 10 people being able to get through, a 1 second response time, and a 1% error rate.”
- 35. #dataforgoodyqr Syracuse Objective: Achieve fiscal sustainability. KR1: Reduce the general fund budget variance from 11% to 5%. KR2: Spend 95% of authorized capital project dollars by the end of the fiscal year. KR3: Spend 95% of grant dollars for grants from prior fiscal years.
- 36. #dataforgoodyqr Allbirds Objective: Create the lowest carbon footprint in our industry. KR1: Supply chain and shipping infrastructure 100% zero waste. KR2: Pay 100% carbon offset for calculated carbon dioxide emissions. KR3: 25% of material is compostable. KR4: 75% of material is biodegradable.
- 37. #dataforgoodyqr Non-Profit Objective: Grow and diversify revenue through increased donor engagement. KR1: Grow unrestricted donations by 25% with a baseline of $2,700,000 and a target of $3,375,000. KR2: Host 12 engagement events to nurture major donor and foundation prospects with a baseline of 2 and a target of 12. KR3: Grow highly engaged subscribers by 30,000, with 2.5% becoming new or re-engaged donors with a baseline of 60,000 and a target of 90,000.
- 39. #dataforgoodyqr Exercise 3 - 4 supporting Key Results per objective