Designing for open
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This document summarizes a workshop aimed at designing a project to demonstrate the benefits of improved data sharing within an organization (ABP). The workshop consisted of several sessions to: 1) envision a future state of optimal data sharing ("Datopia"); 2) map how data is currently and ideally shared; 3) identify potential roadblocks to increased sharing; 4) choose a realistic pilot project; and 5) determine who needs to be involved to enable change. The overall goal was to identify a test case that could deliver measurable improvements within one year to help motivate broader changes towards the vision of seamless, commonplace data sharing.
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Designing for open
- 1. Benjamin Cave @cave_ben7 September, 2016 Designing for open
- 2. Flash talk 30s You Your role What would make today a success?
- 3. Goal Identify a realistic project to demonstrate the quantifiable benefit of improved data sharing across ABP
- 4. Raise quality & consistency for the customer Create internal efficiencies Identify innovation Success Measures
- 6. Guidelines for discussion 1. Perfect first, practical later 2. No bad ideas (Yes and…) 3. Different perspectives, equal value
- 7. Feel free to speak freely Chatham House rules apply Notes will be taken for internal purposes only If tweeting or posting, please be sure to respect this rule
- 9. Roads help us navigate to a destination Data helps us navigate to a decision
- 12. Locked down
- 17. When data sharing is optimised friction is reduced
- 19. Where is the value in sharing? Leadership/Strategy Supports the wider data strategy of the organisation Operations Creates significant data access efficiency savings Finance/Ventures Produces viable equity ventures & spin-off prospect business lines Communications Provides automates interaction increases reach CSR/Partnership Improves outreach and forges new partnerships Marketing/Product Enhances product features and customer experience
- 20. Comms & Transparency 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 …
- 21. The problem of legacy
- 22. Change: A challenge of scale
- 23. Change is a journey for the organisation
- 24. First data literate then data skilled then data proficient
- 25. Food for thought 1. Find the right goal to motivate people 2. Get data at the right level of sharing (Lower as well as higher) 3. Let everyone in on the benefits early 4. Build an evidence base in stages 5. The data is the easy bit, people are harder
- 26. Coffee Break
- 27. Session 1 – Set the destination
- 28. ‘Datopia’ 5 years in the future data sharing is commonplace and functions seamlessly What does this future look like? What can be done that can’t be done now? How is the daily experience of working different? What are the benefits to the organisation?
- 29. 3 groups 5 minutes of silent though collection 15 minutes of group discussion & clustering 15 minutes to report back to the room
- 30. Session 2 – Mapping the route
- 31. The data Reaching ‘Datopia’ needs data shared at the right level across the business What data would be most relevant? How is it currently shared? How should it be shared in this future?
- 32. 3 groups 15 minutes to map data to the spectrum as currently shared 10 minutes to map data to the spectrum as it would ideally be shared in ‘datopia’ 15 minutes to report back to the room
- 34. Lunch Break
- 36. The roadblocks Every change comes with objections and we need a compelling business case Who/what is likely to stand in the way of increased sharing? What will motivate their resistance? Which objections are you most likely to hear? How can we make a compelling case for change?
- 37. 3 groups 20 minutes discussion & posting onto the spectrums 20 minutes ‘devil’s advocate’ with objections 10 minutes reporting back to the room
- 38. Coffee Break
- 39. Session 4 – Choose a test drive
- 40. The test drive Realistic improvements focus on a test case. You have 1 year to create measurable improvement. Which specific project could deliver the most benefit? What is a realistic ambition? Where could change be most effectively implemented?
- 41. Whole room discussion 30 minutes to discuss & nominate 10 minutes to vote (if needed)
- 43. The people Effective change needs key people onboard. The right people need to be engaged at the right time. Who are the internal owners of the data we need? Which decision makers need to sign off? When do people need to be involved in the process?
- 44. Whole room discussion 30 minutes to discuss & nominate
- 45. Next Steps
- 46. Benjamin Cave @cave_ben7 September, 2016 Thank-you
Editor's Notes
- non-profit, non-partisan Founded 1 year ago 15 full time employees TBL and Nigel Shadbold SPACE TO CONVENE, help others use data
- 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
- We can move data. We can open it and we can close it.
- Open data is a tool for delivering impact
- To maximise the impact of open data, organisations need to become first data literate, then data skilled and finally data proficient.
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