Learning Associates Day 3: Advocacy
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Learning Associates Day 3: Advocacy
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Learning Associates Day 3: Advocacy
- 1. Benjamin Cave – Trainer @cave_ben10 August, 2016 Data Advocacy
- 2. Equip participants with the proof points and language to advocate for open data Course aim
- 3. What are the main points you would include in an ‘elevator pitch’?
- 4. Pitch Points 1. What it is 2 What it does 3. Where it’s helped 4. Why its best 5. What next
- 5. 1. What it is
- 6. Exercise Define ‘data’ 5 minutes in groups
- 7. Definition of Data (1) A collection of facts, information and statistics that can be analysed to develop new knowledge
- 8. Definition of Data (2) A collection of numbers assigned as values to quantitative variables and/or characters assigned as values to qualitative variables
- 9. Definition of Data (3) The lowest level of abstraction from which information and then knowledge are derived.
- 11. Exercise Define ‘Open Data’ 5 minutes in groups
- 12. Definition of Open Data (1) A piece of data or content is open if anyone is free to use, reuse, and redistribute it - subject only, at most, to the requirement to attribute and/or share-alike. - Summary of Open Definition (v1.0) Retired August 2014
- 13. Definition of Open Data (2) Open data is information that is available for anyone to use, for any purpose, at no cost. - Open Data Institute FAQ Retired November 2014
- 14. Definition of Open Data (3) Open means anyone can freely access, use, modify, and share for any purpose (subject, at most, to requirements that preserve provenance and openness). - Summary of Open Definition (v2.0) Introduced August 2014
- 15. Definition of Open Data (4) Data that anyone can access, use and share - Open Data Institute FAQ Introduced November 2014
- 16. Definition of Open Data (5) Open data is data that is published in an open format, is machine readable and is published under a license that allows for free reuse - data.gov.uk
- 17. Exercise Describe ‘data sharing’ 5 minutes in groups
- 18. Establishing the conditions under which others can access & use your data Definition of data sharing
- 21. Data as roads
- 22. Roads help us navigate to a destination Data helps us navigate to a decision
- 25. Locked down
- 28. 2. What it does
- 29. Who wants what? Leadership/Strateg y Open data supports the wider data strategy of the organisation Operations Open data creates significant data access efficiency savings Finance/Ventures Open data produces viable equity ventures & business lines Communications Open data provides free media and increased reach CSR/Foundation Open data improves outreach and forges social partnerships Marketing/Product Open data enhances product features and customer experience
- 30. 3. Where it’s helped
- 31. Comms & Transparenc y Generating Income Efficiency Savings Improving Services CSR & Social Impact Decision Maker Reaching new markets and removing the cloak of secrecy around new agritech. Products Incubate startups for new revenue sources, lower op. costs for services & higher reward than trad. Acc. Existing products can be linked together for a better sales channel & lowers ownership costs Customer savings of between £15 and 58 million per year in time savings for transport customers Allow community-built flood models that can save 20% on design and delivery costs Colleague CAN $3.2b in charitable tax violations highlighted by citizens using OD Est. 2007 using open farm data, acquired by Monsanto for $930m in 2013 Save AU $3.2m annually on F.o,I requests through proactive release €2.6m per year in reduced staff costs from cross-dept. access to map data NZ$4m savings from OS tools & data in year 1 of rebuilding following earthquake Partner 100m company records in over 100 jurisdictions allowing studies of beneficial ownership & control £300k annual turnover from cleaning up UK transport data for other businesses Identified £200m annual saving in NHS by switching to own- brand statins and better delivery routes Joined up available transport data to enable choice. $10m VC round and expanded to 29 cities Emissions double reported figure. Evidence in parliament & planning debate 1. I want a proof point for… 2. Relevant to a …
- 32. The art of the case study Specify - Resist the urge to be vague and always quantify Admiration – Choose an industry your industry admires Realism – Err on the lower side of a range when you transpose Adaptation – Do consider how an industry sector might compare Lower limit – Use ‘at least’ rather than ‘up to’ to limit downside thought Every case study is ‘farmers math’. Think of your proof point like a working hypothesis.
- 33. 4. Why it’s best
- 34. A value proposition is the solution to your customer’s problem
- 35. Value of open data
- 39. What is the problem that open data alone could solve for your business?
- 40. What is the unique value of open data? Open data is a means to derive greater value from your data - value no-longer comes from data itself but the products and services that consume it. Improved experience for your customers Reduced friction in access to market Increased productivity among workforce Reduced cost of operation Smoother, more effective partnerships Superior reach and brand awareness Beneficial offer status in new markets Stronger supply chain visibility
- 41. 5. What next
- 42. Making ‘the ask’ Any good pitch, be it to a superior, a colleague or a group should end with an action. Without the action your audience will often forget or neglect the area. The ask needs to be immediate and proportionate. Your audience should be able to say yes or no right there in the room
- 43. Small, clear actions Ensure that the ask is simple and small-scale Keep the timeframe and impact clear Make sure any budget is commensurate with returns
- 44. Deliver 2x 90 second pitch for support Teams 2-4
- 45. 1. Choose two audiences Leadership/Strateg y Operations Finance/Ventures Communications CSR/Foundation Marketing/Product
- 46. 2. Prepare pitch points 1. What it is 2 What it does 3. Where it’s helped 4. Why its best 5. What next
- 47. 3. Pitch Time
- 48. Development work 1. Identify a list of 5 people to speak to 2. Prepare and deliver tailored pitches to 3 3. Document reactions, questions and follow-ons 4. Share your experience with fellow participants
- 49. Benjamin Cave – Trainer @cave_ben10 August, 2016 Thank-you
Notes de l'éditeur
- non-profit, non-partisan Founded 1 year ago 15 full time employees TBL and Nigel Shadbold SPACE TO CONVENE, help others use data
- We can move data. We can open it and we can close it.
- I use the analogy that data is like a road – pretty uninteresting in and of itself, but gets you somewhere roads connect together, like data connects together, but the other thing about roads is that they don't just appear out of nowhere: we make them
- we choose what roads we make, we choose which roads we invest in to make them wider or easier to travel on, where we put junctions and where bridges and they make everyone's lives easier
- Brief… fear about risks of sharing or opening data outweigh hope about benefits isolation
- Keep it brief inconvenience of toll booths everything has a price exploitation
- Keep it brief data made as widely available as is safe collaboration