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

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Pengiran Izam presents BigData. …

Pengiran Izam presents BigData.

Demonstration of Google BigQuery/BigTable with the Tableau data visualization tool.

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  • 1. 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
  • 2. First of all! An introduction … 2 BigData presented by @izamryan
  • 3. 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 BigData presented by @izamryan “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. © 2013. izamryan@gmail.com
  • 4. So who are considered BigData / Analytical competitors? Source: 1. Davenport (2007) 4 BigData presented by @izamryan
  • 5. 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 BigData presented by @izamryan
  • 6. 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 6 BigData presented by @izamryan © 2013. izamryan@gmail.com
  • 7. 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 BigData presented by @izamryan Visualization – the quick win Demonstration w/BigQuery Possible next steps for your organisation How can I apply this in Brunei? © 2013. izamryan@gmail.com
  • 8. 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?” Source: 1. Davenport (2007) 8 BigData presented by @izamryan © 2013. izamryan@gmail.com
  • 9. 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?” Source: 1. Davenport (2007) 9 BigData presented by @izamryan © 2013. izamryan@gmail.com
  • 10. A picture is worth a thousand words … Visualizations can be used to convey QUALITATIVE concepts and QUANTITATIVE concepts Source: Simon Kemp on Google+ 10 BigData presented by @izamryan Source: Google Public Data © 2013. izamryan@gmail.com
  • 11. 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. BigData presented by @izamryan © 2013. izamryan@gmail.com
  • 12. To adopt BigData practices, start with the Strategy! Then align infrastructure & human resources to the Strategy. HR Infra Strategy 12 BigData presented by @izamryan • 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? © 2013. izamryan@gmail.com
  • 13. 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 BigData presented by @izamryan 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 © 2013. izamryan@gmail.com
  • 14. 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 BigData presented by @izamryan © 2013. izamryan@gmail.com
  • 15. 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. 15 BigData presented by @izamryan © 2013. izamryan@gmail.com
  • 16. APPENDIX 16 BigData presented by @izamryan