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Improving business outcomes through
rapid data visualisation
David Colls & Ray Grasso
29th October 2013
Spatial visualisation
by John Snow, 1854

Mapping cholera deaths
London,1854
Image from GE

Communications
at GE
Image from HBR
courtesy of P&G

Decision
cockpits
at P&G
More organisations
using visualisation
HealthHack
Oct 2013
Why visualise data?
Easy to understand

Shared view
Holistic view

New insight
Independent
Market Operator
(IMO)
IMO Goals
Facilitate competition between power
generators and retailers
Encourage private sector investment in power
generation and retailing.
Support the development of sustainable
energy sources
The Problem
o be
ant t
ew
rent
W
nspa
tra
more
… people to understand
what we do and why
it’s valuable
The Approach
Decide on an
initial direction
Get our hands
on the data
Follow the data
Rapidly build
and refine

Shift from the
data problem to the
communication
problem
Get it to the
audience
Example
Evolution of a visualisation
Improving business outcomes through rapid data visualisation
Improving business outcomes through rapid data visualisation
Improving business outcomes through rapid data visualisation
Improving business outcomes through rapid data visualisation
Let’s look at it live…
Outcomes
… I am a developer and
would be interested in
accessing your data...

...can I just say how awesome
the IMOWA data visualisation
page is! … take that NEM …
Takeaways
Follow the data
Minimise speculation
Use real data
Be open to unexpected opportunities
Rapidly refine the story
It’s okay to start out vague
Test with users to see if your story is being
communicated effectively
IMO Summary
6 Weeks
Open source technologies
Explore where the data leads and release
early and often.
Improving a
Call Centre
What does
a big Call
Centre
look like?
200,000 calls each day
10,000 agents
500 products
24 hours
7 days
The Problem
It’s so big, we don’t have a clear
picture what it looks like now, let
alone how to improve it
Improving business outcomes through rapid data visualisation
We also saw…
Surprises in demand and supply
Data issues answering queued calls
Same-queue transfers
lls,
ancies, very long ca
Plus: timing discrep
,…
gent skills, etc, etc
mischaracterised a
The Approach
Get the data
Evolve a fuzzy visualisation
Ask: Why?

Deliberate fuzziness
leaves room for
ambiguity and
interpretation
Pursue quantitative investigation
Takeaways
A fuzzy visualisation helps you
discover questions
Visualisation gives insight on
operations and on data quality
You can rapidly evolve a very
complex visualisation
Call Centre Summary
Undertaken as part of a major programme
2 weeks to build
Used “Processing” software
Accelerated learning reduced programme
duration & operational improvements were
realised sooner
NOPSEMA
National Offshore
Petroleum Safety and
Environmental
Management Authority

http://www.flickr.com/photos/19779889@N00/ (Arby Reed)
Improving business outcomes through rapid data visualisation
Improving business outcomes through rapid data visualisation
Improving business outcomes through rapid data visualisation
NOPSEMA Summary
2 Weeks
Simple visuals on existing systems can
provide benefits.
Benefits
Provide a holistic view of complex
systems
Glean unexpected business insights
Craft engaging communications
Where to from here?
Start small and stay lightweight
Use real data throughout
Refine and adapt
Questions?
Thank you

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