The document discusses how data can be used to design services and create engaging experiences. It provides examples of how open data from various sources like sensors, mobile devices, and government can be utilized. Specifically, it outlines three steps to work with data: 1) find existing open data sources, 2) scrape data from digital channels, and 3) create and publish your own data. The document emphasizes that data should be used not just for visualization but to gain insights, engage users, and optimize experiences across various industries like urban planning, utilities, and education.

1. How can DATA
be used to design
services and to create
engaging experiences?
Mark Wane
@markbwaneInspired by the knowledge transfer from London Fusion’s
Services in the City (Open Data) Design Jam 19/03/2014.
OpenData thinking and examples from Chris Downs and UCL.

2. ”The iconic products of the future
won’t be made of plastic, or metal,
or glass.
They will be made of data.”
Chris Downs - Founder of Live|Work

3. “Open data is data that can be freely used,
reused and redistributed by anyone
– subject only, at most, to the
requirement to attribute and sharealike.”
OpenDefinition.org

4. 90% of the data in the
world was created in the
last two years alone
Data comes from
‘everywhere’ - sensors,
mobile devices,
government to name a few
Increasingly geo-located
OpenData thinking and examples from Chris Downs and UCL.

5. OpenData thinking and examples from Chris Downs and UCL.

6. OpenData thinking and examples from Chris Downs and UCL.

7. OpenData thinking and examples from Chris Downs and UCL.

8. So where would I go
to get data?

9. 1.0 Find it ‘Open data sources and live feeds
exist across various industries’
OpenData thinking and examples from Chris Downs and UCL.

10. 1.0 Find it
citydashboard.org
OpenData thinking
and examples from
Chris Downs and UCL.

11. 2.0 Scrape it
‘Services exist to scrape data from
various digital channels’
OpenData thinking and examples from Chris Downs and UCL.

12. 2.0
OpenData thinking and examples from Chris Downs and UCL.

13. 3.0 Make it
‘Create and publish your own data
or develop apps to do this.’
OpenData thinking and examples from Chris Downs and UCL.

14. 3.0
OpenData thinking and examples from Chris Downs and UCL.

15. Dashboards and infographics
allow us to visualise and
communicate data easily.
OpenData thinking and examples from Chris Downs and UCL.

16. Check out our infographics
on Pinterest!
www.pinterest.com/entropii

17. But to design with data is more
than just data visualisation
INSIGHT
ENGAG
EMENT
OpenData thinking and examples from Chris Downs and UCL.

18. Data is used in a variety of
services from urban planning,
utilities and in enhancing
experiences.
OpenData thinking and examples from Chris Downs and UCL.

19. OpenData thinking and examples from Chris Downs and UCL.

20. OpenData thinking and examples from Chris Downs and UCL.

21. Utility
OpenData thinking and examples from Chris Downs and UCL.

22. Utility
OpenData thinking and examples from Chris Downs and UCL.

23. Data can be used to
leverage experiences tailored
specifically to the user.

24. Netflix used data
about the most
popular actors,
types of show
and context to
create the award
winning House of
Cards

25. How can I use data
to design services
with engaging user
experiences?
...Perhaps by collaborating at
a design jam like one recently
hosted by London Fusion.

26. Start by thinking about how
different industry sectors
could use data to, offer new,
or enhance existing services.
OpenData thinking and examples from Chris Downs and UCL.

27. Business, travel, health, education...
OpenData thinking and examples from Chris Downs and UCL.OpenData thinking and examples from Chris Downs and UCL.

28. Consider how open data can
be found, scraped or created
to offer a value added service
for people.
OpenData thinking and examples from Chris Downs and UCL.

30. Such as a new City Travel App?
Using data to optimise travel journeys,
focused not just on speed or cost but
experience...

32. 1. Use location data and travel feeds to plan routes.
2. Use map data to suggest a scenic walk?
3. Scrape data to suggest attractions on route?
4. Generate data to enhance the experience and
share with others...

33. Consider the users!
People, Personality, Roles, etc
Stage 1
Stage 2
User Story, Goals & Objectives
Stage 3
Intrinsic/Extrinsic Motivations
Persuasion: Rationality, Credibility & Emotion
Personas & Contextualisation
Stage 4
Stage 5
Identify
Organise
Motivate
Engage
CTA

34. Map out the service

35. Optimise the experience
Discovery Experience
Crea
tion
Production
Usab
ility

36. With data comes more
data and with that
comes more design
opportunities...
OpenData thinking and examples from Chris Downs and UCL.

37. Mark Wane
mark@entropii.com | www.entropii.com
INSIGHT
DESIGN
I
M
PROVEMENT
ENGAGEMENT

38. Connect
with us on
@entropiime
entropiixd
entropii
entropiientropii