20131108 - Big Data presentation at the 2nd GDG Brunei Darussalam DevFest

Big Data
A discussion of the
evolution in datadriven decision
making and a demo
of Google BigTable

Pengiran Izam Ryan / @izamryan
Vice President GDG Brunei

© 2013. izamryan@gmail.com

First of all!
An introduction …

2

BigData presented by @izamryan

BigData is more than just using statistical analysis on large databases of
information. It’s an evolution in the way data-driven decisions are made.

“But we
don’t use
data to drive
decisions!”

“But we
don’t even
have SMALL
data!”

#BigData
It’s more
relevant
thank you
think!

Source: 1. Davenport (2007)
3


“Even if we
had it, what
would we do
with it?”

• Do your teams make decisions without analysing
the situation?
‒ In one study1 organisations with an analytical
orientation tended to have higher performance
than those that didn’t
‒ This is the difference between “we know it” vs.
“we think it”
‒ Robust decision making process = The mark of
a good professional.
• You don’t have a systematic process to capture
data relevant to your strategy?
‒ Time to develop a data management strategy?
• Do you feel that BigData wouldn’t impact your
business?
‒ BigData is one of those disruptive technologies
of our generation.
‒ Visualization technology is key for adopters of
BigData.

So who are considered BigData / Analytical competitors?

4


One interesting trend is the use of personal health monitoring apps.
Imagine if health providers could mine this information to deliver better
and more customised (patient-centric / citizen-centric) services

5


A little bit about me – and why I’m uniquely
qualified to talk about BigData to you guys
Imperial College
London
BUSINESS SCHOOL

I am championing two MBA projects (assessed
coursework) that involve BigData.

I was trained in the use of BigData analytical techniques,
and used these in live projects.
I qualified as a Chartered Accountant – we are known for
our quantitative skills, professionalism and expertise.
I worked in Brunei’s IT industry for 3 years – so I
appreciate the environment
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What makes a good BigData strategy?
And how this could be applied in Brunei?

What makes a good
BigData strategy?
How can I apply this
in Brunei?

The stages of
analytics

What makes a good
BigData strategy?
7


Visualization – the
quick win

Demonstration
w/BigQuery

Possible next steps
for your organisation

How can I apply this in Brunei?

The 5 stages of analytical competition show how an
organisation grows into a best practice analytical organisation

5 – Analytical competitors
4 - Analytical companies
3 – Analytical inspirations
2 – Localized analytics

1 – Analytically impaired

• 1 Analytically impaired
‒ “What just happened?”
• 2 Localized analytics
‒ Not cohesive. Not integrated.
‒ “How can we improve the business?”
• 3 Analytical inspirations
‒ Begin efforts for integrated analytics
‒ “How can we extrapolate existing trends?”
• 4 Analytical companies
‒ Enterprise wide perspective
‒ “How can we use analytics to innovate?”
• 5 Analytical competitors
‒ Big results, sustainable advantage
‒ “How do we stay ahead?”

8



So where are we in terms of this framework?
I think a lot of local businesses may find themselves here in Stage 2.

5 – Analytical competitors
4 - Analytical companies
3 – Analytical inspirations
2 – Localized analytics

1 – Analytically impaired

• 1 Analytically impaired
‒ “What just happened?”
• 2 Localized analytics
‒ Not cohesive. Not integrated.
‒ “How can we improve the business?”
• 3 Analytical inspirations
‒ Begin efforts for integrated analytics
‒ “How can we extrapolate existing trends?”
• 4 Analytical companies
‒ Enterprise wide perspective
‒ “How can we use analytics to innovate?”
• 5 Analytical competitors
‒ Big results, sustainable advantage
‒ “How do we stay ahead?”

9



A picture is worth a thousand words … Visualizations can be
used to convey QUALITATIVE concepts and QUANTITATIVE concepts

Source: Simon Kemp on Google+
10


Source: Google Public Data

BigData demonstration using Tableau and a public data set

Data sets

Tableau

• 68m rows (natality)
• 164k rows (shakespeare)
• FYI Excel can access a
maximum of 1m rows
• One of my consulting
projects involved a dataset
of ~1m rows. It took us > 1
1 minute to build a report.

11

Google BigQuery
• Infrastructure as a Service
(IaaS)
• A tool to analyse billions of
rows in a highly scalable
fashion
• One of the most disruptive
Google technologies

• Leading provider of data
visualization tools
• Freely available version
“Tableau Public” can
analyse up to 1m rows.



To adopt BigData practices, start with the Strategy! Then align
infrastructure & human resources to the Strategy.

HR

Infra

Strategy

12


• Strategy – what is the core capability of your
organisation?
‒ Maximising profit per customer through
selling a portfolio of services
‒ Selecting, training and developing the next
generation of leaders
• Infrastructure – do you have systems and
processes in place to support the strategy?
‒ Do you track customer interactions?
‒ Which are your most profitable
customers? Least profitable? Why aren’t
they profitable?
• Human resources – are teams ready for a
data-driven decision making process?
‒ Do we have senior leadership’s support?

In Conclusion – I hope you have seen a little bit
of how big a game change BigQuery can be.
•

We should align
our strategy with
our infra & HR
We should
adopt a datadriven approach
to decision
making

•
Being able to
manage
BigData will
gain us an
advantage

•

•

#BigData
•

13


Pengiran Izam Ryan (ACA) is a Vice President
at GDG Brunei Darussalam and is an
independent management consultant with
10EQS.
My profile is online at http://about.me/izamryan
and I can be reached at izamryan@gmail.com
This work does not constitute any form of advice,
but I am open to discussing future consulting
projects
I am currently with 10EQS, the virtual
management consulting firm. I have worked on >
USD$5bn in M&A transactions and have
experience with major transformation projects,
financial risk and business risk projects.
Thank you! Over to you for the Q&A


Bibliography, Credits & Sources
•

Difference Engine

•

•

“The Innovator's Solution: Creating and
Sustaining Successful Growth” – C.
Christensen and M. Raynor (2003)
“Competing on Analytics: The New
Science of Winning” – T. Davenport and J.
Harris (2007)

Logos of companies that appear in this
presentation are trademarks of their
respective owners.

14



Licensed under CC-by-nc-sa
This work is licensed under the Creative Commons Attribution-NonCommercialShareAlike 3.0 Unported License. To view a copy of this license, visit
http://creativecommons.org/licenses/by-nc-sa/3.0/ or send a letter to Creative
Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041,
USA.

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APPENDIX

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20131108 - Big Data presentation at the 2nd GDG Brunei Darussalam DevFest

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