This document discusses open data maturity and business models. It provides an overview of the Open Data Pathway, which is a self-service assessment tool that helps organizations evaluate their open data practices and set goals for improvement. The document outlines the key purposes and features of the Pathway. It also discusses open data business models, including common revenue models, strategies, and considerations around when to start charging for open data products and services. The document proposes using the Osterwalder Business Model Canvas as a tool to develop business models and pitching new models. It emphasizes the importance of reexamining business models in response to changes in the market, data, customer needs, team, and product performance.

1. Benjamin Cave –
Trainer
@cave_ben29 November, 2016
Open Data Change

2. Assess for Success
Monitoring your organisation's journey

3. Open data pathway does for organisations
what open data certificates does for
datasets

4. Purpose #1
Assess how effectively an organisation
publishes and consumes open data

5. Purpose #2
Help organisations understand how they
can improve their open data practice

6. Purpose #3
Provide an effective reporting tool to help
deliver the message of organisational
change

7. Minimal awareness of open data and no
recognition of its potential value to the
business
Ad hoc / tactical / inconsistent use of
open data
Targeted use of open data
amongst specialist teams
Integrated use of data and
publication of open data
driving business value and
new business models
● Senior management championing
open data and sharing stories
exemplifying the benefits and
value it can bring
● Teams across the business
consistently using open data to
generate answers to problems,
innovate and operate more
effectively
● Training, engagement and events
promoting the value of open data
being shared internally and
externally so employees and
customers feel encouraged and
empowered to use and publish
data
Managed and supported use
of open data across the
organisation.
Adapted from a slide by Georgia Phillips

8. understand that the value isn’t in the
data itself but in what you do with it
make data part of their core strategy or a
critical part of their strategy
use data to inform what they do and the
decisions they make
invest in training their domain specialists
to understand and use data to enable
business specific outcomes
Integrated use of data and
publication of open data
driving business value and
new business models
Adapted from a slide by Georgia Phillips
Open has potential if we…

9. http://pathway.theodi.org/statistics

10. Open data pathway
● http://pathway.theodi.org
● self-service assessment tool
o answer questions & document evidence to score progress
o set goals for improvement
o get suggested improvements
● compare progress with other organisations
● suitable for any organisation

11. Open data maturity model
http://theodi.org/guides/maturity-model
Theory behind the pathway
o identifies 15 areas of activity
o which are grouped into 5 themes
Two parts:
o the grid is the actual model
o the guide is background documentation and help

12. Maturity Levels
Initial – Inconsistent and ad hoc activities
Repeatable – Refined processes but isolated within teams
Defined – Standardised practices across the organisation
Managed – Effectiveness of internal process and activities measured
Optimised – Fully integrated and refined process, maximal efficiency

13. Themes
Data Management Processes
Quality control, publication workflow, use of standards.
Knowledge & Skills
Knowledge sharing, training and skills development
Customer Support & Engagement
Investment & Financial Performance
Aligning investments with value and seeking savings from data re-use
Strategy & Governance
Strategy and policy

14. 12 Key Actions
Senior support before launch
Combine top-down & frontline
Communicate openly & often
Quick wins aligned to goals
Identify the right
people to help
Central change management
Clear change leadership
Shout about
impact
Seek partnerships
with others
Promote professional
development
Build consistent
metrics
Clear vision; clear examples

16. Understanding open data business
models
Understanding the landscape

17. To enhance participants’ ability to
develop new business models for open
data
Course aim

18. Define the purpose of a business model
Define the value of open data to your business
Describe key archetypes of open data business models
Outcomes

19. Business models
‘A business model is the logic of
an organization to create value’
Osterwalder et. al. Business Model Creation

20. Step 1 – Defining the value of your open
data service

21. What is the value of open data?
Open data is free - value no-longer comes from data itself, but
products and services – added value developed for the market
Ease of use
Behaviour change
Improve innovation
Increase performance
Reduce client cost
Reduce your costs
Reduce risk
Increase accessibility
Build new partnerships
Improve a brand
Solidify value proposition
Benchmark your performance

22. Step 2 – Finding the right revenue model

23. What models are working
for open data right now?

24. Sectors of
OD
businesses

25. Most
popular
data types

26. How they
got the
data

27. Open Revenue Models
Premium Freemium
Cross Subsidy
Demand-Platforms
Razors/Blades
White LabelSupply Platforms
Advertising Data Acc.

28. Business strategies
Organisation – Boost the brand
Platform – Collaborate to collect
Services – Features for funds

29. Exercise
Map the following:

30. Step 3 – Knowing when to start charging

32. 29 cities worldwide
$10m VC round in 2014
Rapid growth Model:
Expansion -
led

33. 1,500 developers
Three pricing tiers
£300k annual turnover Model:
Flexible
price

34. Premium product set
Data supply agreement
$930m takeover
Model:
Acquisition

35. Pricing considerations
1. Calculate the price to the customer of retrieving
data on their own
2. Add time/inconvenience estimate
3. Divide by likely number of future uses
4. Add any in-kind value estimate
The above should be higher than the cost
of the product for 50% of likely customers

36. Session 2
Building a business model
Creating something that works for you

37. Use the Osterwalder Business Model Canvas
Lead a group discussion on developing a business model canvas
Produce a complete business model canvas for their
product/service
Outcomes

38. The canvas
Image: JAM

39. The process
Image: Harry Verwayen

41. Session 4
Integrating your business model into
your work
Turning theory into practice

42. Prepare a pitch for a new business model
Summarise criteria for reassessing of a business model
Analyse future innovation opportunities in your open data
business
Outcomes

43. Step 4 – Remodelling

44. Question
What would cause you to
reexamine your data
business model?

46. When to Innovate
1. Changes in the market
2. Changes in the data
3. Changes in the customer needs
4. Changes in the team
5. Changes in the product performance

47. Benjamin Cave –
Trainer
@cave_ben29 November, 2016
Thank-you