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Benjamin Cave –
Trainer
@cave_ben4 November, 2016
How to stop boring people with open data
Equip participants with the proof points and
language to advocate for open data
Course aim
Define open data
Evaluate how to customise definitions of open data for
different audiences
Identify the most relevant proof points for an open data
business case
Outcomes
What are the main points
you would include in an
‘elevator pitch’?
Pitch Points
1. What it is
2 What it does
3. Where it’s helped
4. Why its best
5. What next
1. What it is
Exercise
Define ‘data’
The triangle
Knowledge
Information
Data
Add context
Personalise
Definition of Data
The lowest level of abstraction
from which information and
then knowledge are derived.
Exercise
Define ‘Open Data’
Definition of Open Data
(4)
Data that anyone can
access, use and share
- Open Data Institute FAQ
Introduced November 2014
2. What it does
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
3. Where it’s helped
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 …
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.
4. Why it’s best
A value proposition is the solution to
your customer’s problem
Value of open data
What is the problem that open data
alone can solve for your organisation?
What is the unique value of open data?
Open data unlocks greater value from your data.
Value no-longer comes from data itself but the products and services
that consume it. Access to more data enables greater value.
Also… Improved experience for your customers
Reduced friction in access to market
Increased productivity among workforce
Reduced costs
Smoother, more effective partnerships
Superior reach and brand awareness
Beneficial offer status in new markets
Stronger supply chain visibility
5. What next
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
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
Deliver a 90 second pitch for support
Teams 2-4
1. Choose an audience
Leadership/Strateg
y
Operations
Finance/Ventures
Communications
CSR/Foundation
Marketing/Product
2. Prepare pitch points
1. What it is
2 What it does
3. Where it’s helped
4. Why its best
5. What next
3. Pitch Time
Benjamin Cave –
Trainer
@cave_ben4 November, 2016
Thank-you

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How to stop boring people with open data

  • 1. Benjamin Cave – Trainer @cave_ben4 November, 2016 How to stop boring people with open data
  • 2. Equip participants with the proof points and language to advocate for open data Course aim
  • 3. Define open data Evaluate how to customise definitions of open data for different audiences Identify the most relevant proof points for an open data business case Outcomes
  • 4. What are the main points you would include in an ‘elevator pitch’?
  • 5. Pitch Points 1. What it is 2 What it does 3. Where it’s helped 4. Why its best 5. What next
  • 9. Definition of Data The lowest level of abstraction from which information and then knowledge are derived.
  • 11. Definition of Open Data (4) Data that anyone can access, use and share - Open Data Institute FAQ Introduced November 2014
  • 12. 2. What it does
  • 13. 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
  • 14. 3. Where it’s helped
  • 15. 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 …
  • 16. 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.
  • 18. A value proposition is the solution to your customer’s problem
  • 20.
  • 21. What is the problem that open data alone can solve for your organisation?
  • 22. What is the unique value of open data? Open data unlocks greater value from your data. Value no-longer comes from data itself but the products and services that consume it. Access to more data enables greater value. Also… Improved experience for your customers Reduced friction in access to market Increased productivity among workforce Reduced costs Smoother, more effective partnerships Superior reach and brand awareness Beneficial offer status in new markets Stronger supply chain visibility
  • 24. 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
  • 25. 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
  • 26. Deliver a 90 second pitch for support Teams 2-4
  • 27. 1. Choose an audience Leadership/Strateg y Operations Finance/Ventures Communications CSR/Foundation Marketing/Product
  • 28. 2. Prepare pitch points 1. What it is 2 What it does 3. Where it’s helped 4. Why its best 5. What next
  • 30. Benjamin Cave – Trainer @cave_ben4 November, 2016 Thank-you

Notes de l'éditeur

  1. non-profit, non-partisan Founded 1 year ago 15 full time employees TBL and Nigel Shadbold SPACE TO CONVENE, help others use data