Designing for open
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Transcript of Designing for open
Benjamin Cave
@cave_ben2 May 2023
Designing for open
Flash talk30s
You
Your role
What would make today a success?
Goal
Identify a realistic project to demonstrate the quantifiable
benefit of improved data sharing across ABP
Raise quality & consistency for the customer
Create internal efficiencies
Identify innovation
Success Measures
Guidelines for discussion
1. Perfect first, practical later
2. No bad ideas (Yes and…)
3. Different perspectives, equal value
Feel free to speak freelyChatham House rules apply
Notes will be taken for internal purposes only
If tweeting or posting, please be sure to respect this rule
Data as roads
Roads help us navigate to a destination
Data helps us navigate to a decision
https://www.flickr.com/photos/ronsaunders47/7459822850
https://www.flickr.com/photos/highwaysagency/6194409693
Locked down
https://www.flickr.com/photos/vpickering/4867901214/
Pay per use
https://www.flickr.com/photos/pkwflickr/6188760566/in/album-72157627764211574/
Open
http://www.theodi.org/data-spectrum
When data sharing is optimised
friction is reduced
Where is the value in sharing?
Leadership/Strategy
Supports the wider data strategy of the organisation
Operations
Creates significant data access efficiency savings
Finance/VenturesProduces viable equity ventures & spin-off prospect business lines
Communications
Provides automates interaction increases reach
CSR/Partnership
Improves outreach and forges new partnerships
Marketing/ProductEnhances product features and customer experience
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 …
The problem of legacy
Change: A challenge of scale
Change is a journey for the organisation
First data literate
then data skilled
then data proficient
Food for thought1. Find the right goal to motivate people2. Get data at the right level of sharing
(Lower as well as higher)3. Let everyone in on the benefits early4. Build an evidence base in stages5. The data is the easy bit, people are
harder
Coffee Break
Session 1 – Set the destination
‘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?
3 groups
5 minutes of silent though collection
15 minutes of group discussion & clustering
15 minutes to report back to the room
Session 2 – Mapping the route
The dataReaching ‘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?
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
Lunch Break
Session 3 – Dead
ends
The roadblocksEvery 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?
3 groups
20 minutes discussion & posting onto the spectrums
20 minutes ‘devil’s advocate’ with objections
10 minutes reporting back to the room
Coffee Break
Session 4 – Choose a test drive
The test driveRealistic 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?
Whole room discussion
30 minutes to discuss & nominate
10 minutes to vote (if needed)
Session 5 – Designated
drivers
The peopleEffective 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?
Whole room discussion
30 minutes to discuss & nominate
Next Steps
Benjamin Cave
@cave_ben2 May 2023
Thank-you