It seems the world is all fascinated with amazing insight from Big Data... but we all know what really matters is the VALUE unlocked from those insights... Too often we assume that smart people will know what to do if the Masters of Data Science unloads new wisdom on the business. The reality is we have to empower the ultimate people who have to act on these new insights with processes and business levers that also smarter. In this presentation, we explore what is the difference between insight and value... the difference between a finding that is interesting, and a finding that has impact. The presentation captures a career of learnings in Big Data and Advanced Analytics as the Lead Partner who established and led Deloitte's Advanced Analytics practice in WA

1. Moving Big Data to Big Value
Crossing the last mile
May 2015
+61406313111 / @coertdup
UWA – Institute of Advanced Studies
Presented by
Coert du Plessis, Advanced Analytics Lead Partner (WA) Deloitte

2. The average Big Data talk in 30 seconds
… and the effort curve (x-axis)

3. Deloitte. © 2012 3
Source a lot of data from different places
% of Effort

4. Deloitte. © 2012 4
Structure, clean, link and make the data smarter
% of Effort

5. Deloitte. © 2012 5
Analyse and apply an impressive algorithm
% of Effort

6. Deloitte. © 2012 6
And wozzaa – Amazing Insight! Visualised beautifully.
% of Effort

7. Wow, that is interesting!

8. Really….

9. Really….
INTERESTING?????

10. Deloitte. © 2012 10
… the real effort curve to impact
% of Effort

11. Deloitte. © 2012 11
There is a giant chasm between insight and value;
the difference between interesting and impact.

12. Deloitte. © 2015 12
What is impact?

13. Deloitte. © 2012 13
My “Interesting” haunt – knowing who gets hurt next…

14. … and what happened next?
Nothing….

15. Big Data Vocabulary Alignment
a.k.a. the sucking eggs section

16. 5 “V”s of Big Data
Its not just the size

17. 5 “V”s of Big Data
Volume
Its not just the size

18. 5 “V”s of Big Data
Volume
Variety
Its not just the size

19. 5 “V”s of Big Data
Volume
Variety
Velocity
Its not just the size

20. 5 “V”s of Big Data
Volume
Variety
Velocity
Veracity
Its not just the size

21. 5 “V”s of Big Data
Volume
Variety
Velocity
Veracity
Value
Its not just the size

22. Deloitte. © 2015 22
The three time horizons of data insight
(near] Real Time [Stream]
Real time data and insight collected fromprocessing equipment
and machinery sensors during operation
Historical [Pool]
Historical data and insight gained fromanalysing
trends, patterns and opportunities for improvement
learned from experience
Future [Make]
Future insight derived fromhistorical
analysis to improve planning, simulate and
predict future outcomes
Success is where all three horizons access the same structured,
well-governeddata to inform decisions
Shared Data
Operate
Analyse and ManagePredict and Plan

23. What stops insights?
In other words, what prevents us making it 33% of the way?

24. Deloitte. © 2012 24
The common barriers to insight and wisdom… but ultimately a process exists to over-come each one
Security
Disparate
systems
Cost
Volume of
data Privacy &
Confidentiality
Analytic skills
& experience
Data
quality
Wisdom

25. The Hoodies & The Suites

26. What stops impact?
In other words, what prevents us making the last 66% of the way?

27. Because somehow we expect smart people “will just know”
what to do with the new, uncommon insights….
… yet, the new custodians of these insights are only armed
with the same old processes and the usual “levers” they
had before… stuck!
…unless we also “inside-out” redesign the levers and
processes to act and empower the new insight custodians.

28. How do you become and Insight Driven
Organisation?

29. • What are the analysis options?
• Which options should we select and why? How Many iterations?
• What data and analytics tools and technologies are currently in-use?
• What platforms can be shared or scaled? What can we rent aaS?
• Who are the teams currently delivering insights?
• What kinds of skillsets are required? Do we have a purple person?
• What datasets linked to value are readily available?
• How can we iterative build the foundational data stores?
• What services are required / available to solve problems?
• How do people access and use these services?
• What are the pressing business questions for Research,, Corporate and Execs?
• What is the link to value?
• What are the myths?
Supporting Capabilities
• What visualisations and user interfaces are required to enable the end user to perform
their own analysis and access the data and insights in an intuitive manner?
Services
Visualisation and
Reporting
Technology
Data
People
Processes
BusinessValue
Insight Platform
Insight Centre
Decision Makers
You need a service and operating model

30. You need Insights centre
Centralised,
De-centralised and
Center led models all work

31. Deloitte. © 2015 31
Linda’s Journey to Insight
How is the solution visualised?
For Linda, the analysis is presented in a beautiful
interactive format in an online tool she can view on any
device in any location with internet access.
Linda is able to augment the data set herself with
additional data.
UI & Visualisation
How is the data managed?
The team utilised a cloud based Analytics
Data Store with data discovery/visualisation
tools.
The data and logic used to create the
solution for Linda is drawn from existing
analytics data stores where possible
Data
How is the problem approached?
Jenny has a team of professional data
scientists who work with Linda to develop a
solution in an agile and iterative manner
Various data structures and visualisations
are rapidly constructed and used.
Processes
What is the business imperative?
Linda wants to understand the
Student use of after hours facilities in
her faculty are and what capabilities
and services matter to students
most…. Which aid retention?
Customers
How is the problem communicated?
Linda reaches out to Jenny via the Insight Chat
group. Jenny, understand the student life cycle,
technology and analytical techniques and
works with Linda to understand the priority and
clarify the problem.
People
What service is applied to the problem?
Linda’s solution is best delivered through an
on demand approach, empowering Linda to
explore the analysed data in her own time
and drill down deeper into the areas of the
data that helps her with her project.
Services

32. Technical Genius Commercially Astute
You need Purple People
Purple Person

33. You need to change Mind-Set
Creating the shift from “gut feel” to insight driven decision
making is critical to embedding the change
Democratization of access and action on data
Culture of crunchy questions
Do you think or do you know?

34. A personal example of Big Data impact …
Project 67
A personal side-project
Project 67 is a “Stream Analytics” decision engine with an
embedded annealing intelligence with deep error identification
algorithms, performance optimisation engine, impact simulation
engine and decision making system that automatically updates the
network for low risk items; flags high risk items for human review.

35. Project 67 is about making human work meaningful
Moore’s law “applies” to
communications network
management…
Exponential complexity growth.

36. A current example of impact… Project 67
• ~100,000+ Cells
• ~7000 Counters / Cell/ 15 min
• Millions of user events / min
• Thousands of alarms / day
• Thousands of configuration changes / day
BOTTOM LINE:
>15TB of data every hour and growing. Only a fraction processed, mostly by Humans

37. Deloitte. © 2012 37
One Example: Step change in performance
Network Location 1 - element
Network Location 2 - element
Network Location 3 - element

38. Deloitte. © 2012 38
What the operator sees
Network Location 1 - element
Network Location 2 - element
Network Location 3 - element

39. Deloitte. © 2012 39
What the algorithm sees
Network Location 1 - element
Network Location 2 - element
Network Location 3 - element

40. Deloitte. © 2012 40
The step change modelled for action
Network Location 1 - element
Network Location 2 - element
Network Location 3 - element

41. … so what?
Moving Big Data to Big Value means…
1. Plan for the whole journey – aim for impact, not just insight
2. Uncommon wisdom and insight cannot be managed with the same processes as the
“old’ knowledge; Think Inside-Out data driven transformation
3. Be ready to be proven wrong… by yourself. Knowing is a double edged sword as you
measure each step, and being wrong is part of the journey to an insight driven
organisation
4. … and the move to value can only flourish with courageous leadership from the top

42. Be the courageous leaders we need!
Coert du Plessis, May 2015

43. General information only
This presentation contains general information only, and none of Deloitte Touche Tohmatsu Limited, its member firms, or their related entities (collectively the “Deloitte Network”) is, by means of this presentation, rendering professional advice or services. Before making
any decision or taking any action that may affect your finances or your business, you should consult a qualified professional adviser. No entity in the Deloitte Network shall be responsible for any loss whatsoever sustained by any person who relies on this presentation.
About Deloitte
Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee, and its network of member firms, each of which is a legally separate and independent entity. Please see www.deloitte.com/au/about for a detailed
description of the legal structure of Deloitte Touche Tohmatsu Limited and its member firms.
Deloitte provides audit, tax, consulting, and financial advisory services to public and private clients spanning multiple industries. With a globally connected network of member firms in more than 150 countries, Deloitte brings world-class capabilities and high-quality
service to clients, delivering the insights they need to address their most complex business challenges. Deloitte has in the region of 200,000 professionals, all committed to becoming the standard of excellence.
About Deloitte Australia
In Australia, the member firm is the Australian partnership of Deloitte Touche Tohmatsu. As one of Australia’s leading professional services firms. Deloitte Touche Tohmatsu and its affiliates provide audit, tax, consulting, and financial advisory services through
approximately 6,000 people across the country. Focused on the creation of value and growth, and known as an employer of choice for innovative human resources programs, we are dedicated to helping our clients and our people excel. For more information, please
visit our web site at www.deloitte.com.au.
Liability limited by a scheme approved under Professional Standards Legislation.
Member of Deloitte Touche Tohmatsu Limited
© 2015 Deloitte Touche Tohmatsu