Big Data Conference Program – 1 Nov 2012

8:00am Registration & Coffee on Arrival
8:30am Chair Opening Speech – Nicholas Adamo, Partner, Ernst & Young
Big Data Theory, Applications, and Challenges
8:35am – 9:00am What is Big Data and Why we Should Take Note

  • What are the problems with the existing BI/Analytics approach?
  • Is there something wrong with my data ware house?
  • What is Big Data?
  • The Big Data paradigm.
  • Where and how Big Data fits in?
  • How does Big Data differ from having ‘lots of data’?
  • What impact is this difference having on businesses?
  • Ask yourself, what applications are you looking to run on your big data?

Rami Mukhtar, Big Data Analytics Project Leader, NICTA

9:00am – 9:25am Implementing Big Data Analytics at ING DIRECT

  • Deriving value from big data analytics
  • Adapting business processes and procedures to cater for big data analytics
  • Lessons learnt from partnering with NICTA

Greg Nichelsen, Head of Business Intelligence Customer Insights, ING DIRECT

9:25am – 9:55am INTERNATIONAL KEYNOTE PRESENTATION: Big Data and Data Science at PayPal

  • Big Data (what we have)
  • Data Science (what we do)
  • All coming from the Commerce perspective

Mok Oh, Former Chief Scientist, PayPal (USA)

9:55am – 10:25am Panel Discussion: What Big Data Analytics means across Industries

Tony Davis, Owner & Director, Quantium

Leon Bombotas, Director of Insights and Research, CBS Interactive
Richard Wormald, General Manager Strategy, Coles
Antony Ugoni, Head of Analytics and Research Operations, NAB

10:25am – 10:55am MORNING TEA
Creating Value from Big Data Analytics
Delivering Value from Big Data at the Treasury

  • This presentation will look at the Treasuries transition to start using big data analytics and what they are hoping to achieve from mining the data.
  • How can they use analytics to discover and compare trends in social media with the department’s traditional economic models

Peter Alexander, CIO, Department of Treasury

11:20am – 11:50am
Real-time Analytics from Small Data, Big Data and Huge Data
  • How you can use big-data to transform the way you think about real-time analytics?
  • How do you keep up with the velocity and variety of data streaming in and get actionable insights on it, all in real-time?
  • Harness the critical information hidden inside your websites, application servers, networks and mobile devices that power the enterprise

Raanan Dagan, Big Data Product Marketing, Splunk

11:50am – 12:15pm
Achieving ROI through savvy investment in your Big Data Programs
  • Reviewing the business as a whole in order to validate your big data direction
  • Defining your problem areas and deciding on appropriate software for projects
  • Creating the urgency on big data in the boardroom and throughout business department

Paul Ormonde-James, Insight Services Capability, Australian Post

12:15pm – 12:45pm Panel Discussion: Getting your Organisation a Data Scientist

  • Why should you hire a data scientist and where can you find them?
  • Defining the ideal profile of your ideal data scientist
  • Utilising the data scientist’s ability to cross the IT-business frontline to define search terms and allow analytic optimisation
  • Overcoming knowledge deficits by using data scientists as in-house Big Data experts
  • Realising the importance of having someone on the team with the ability to identify signals from the noise
  • How to attract the best data scientists to your organisation

Rami Mukhtar, Big Data Analytics Project Leader, NICTA
Mok Oh, Former Chief Scientist, PayPal (USA)
Seth Yates, CTO, Brandscreen
Clive Gold, Marketing CTO, EMC Corporation Australia and New Zealand

12:45pm – 1:45pm LUNCH BREAK

Select a stream

1:45pm – 1:50pm Chair Address
Rory Winston, FX Algo Systems Consultant, ANZ
1:50pm – 2:10pm
The Value of Big Data

Clive Gold, Marketing CTO, EMC Corporation Australia and New Zealand

2:10pm – 2:35pm The Storage and Architecture Challenges of Big Data

  • Dealing with large volumes of data and understanding the storage processing needs
  • Information production: aggregating internal and external data sets and integrating with existing data warehouse capabilities
  • Applying data analytics to unstructured data: how to get more business value and actionable output from unstructured data
  • Cloud or Not?
  • Total cost of ownership/ROI of investment?
  • Impedance mismatch of existing teams experience and required experience
  • Choosing the right technologies and use cases for quick wins: what am I locking myself into?

Shaun Deierl, Architect, BI Strategy, Suncorp

2:35pm – 3:00pm Integrating Big Data Analytics into Business Practice

  • Understanding how big data analytics can add value to the business
  • Highlighting individual use cases where big data analytics can save money and increase revenue and reduce resource allocation
  • Preparing business processes that need to change for big data
  • Ensuring that you have the right team in place to make the change

David Cummins, Senior Analytics Manager, PwC

3:00pm – 3:25pm Panel Discussion: Apache Hadoop: Now, Next, and Beyond – When are other technologies more suitable?

  • MapReduce – a technical approach to a business problem?
  • What if you don’t know the analytics question?
  • Efficiency, scalability and reliability – does Hadoop tick all the boxes?


Ian Holsman, Big Data Consultant
John Zantey, Technical Director, Contexti
Mark Kortink, Chief Architect, Information & Corporate Systems, Telstra
Raanan Dagan, Big Data Product Marketing, Splunk

3:25pm – 3:45pm AFTERNOON TEA BREAK
3:45pm – 3:50pm Chair Address
Peter Richards, CEO, uCIRRUSANZ
Real time Challenges of Big Data Analytics
3:50pm – 4:15pm Real-Time Analytics Challenges for Immigration

  • Understanding the risk in real-time and creating a risk-scoring service for large volume transactions
  • Mining your data – what are we looking for at the department when we analyse data?
  • Identifying patterns in the data – how can you do this?
  • Applying these techniques to other industries processes can be applied to other sectors

Klaus Felsche, Director, Intent Management and Analytics, Department of Immigration and Citizenship
Gavin McCairns, Chief Risk Officer, Department of Immigration and Citizenship

4:15pm – 4:40pm Distribution Network Analytics and the Forecasting Conundrum

  • Understanding the importance of big data to smart grids
  • Adapting spatial demand forecasting from the electricity sector for any good or service, especially where big capital expenditure decisions needs to be made

Glen Ryman, Director, Deloitte Analytics, Deloitte Touche Tohmatsu

4:40pm – 5:05pm Taming Credit Risk Modelling Data

  • Recent centralising of risk modelling functions from previously product and segment focussed teams
  • Building a common data platform to standardise across all model types
  • Risk Models have a long lifespan
  • Standardisation benefits

Nathaniel Ramm, Senior Manager, Strategic Analytics, NAB

5:05pm – 5:35pm Panel Discussion: 2015 and beyond – the future of big data

  • Will Hadoop continue to be the central pillar for most big data approaches?
  • Solutions for all – how imperative is big data analysis likely to be for businesses of all sizes?
  • What does big data mean for SME’s?
  • Can big data analysis ever become devoid of human interpretation?
  • Privacy and data governance – what does it mean for analytics?
  • Who owns your Big Data and what happens if there is a data breach?
  • What does the next 5 years hold for big data analytics?


Tony Nicol, Managing Director, Servian


Paul Ormonde-James, Insight Services Capability, Australian Post
Alan Dormer, Science Leader, Government and Commercial Services, CSIRO
Paul Fuller, Information Integration Architect, Stockland
Andrew Kerr, General Manager, Information Strategy Services, Commonwealth Bank of Australia

5:35pm – 5:40pm Chair Closing Remarks
1:45pm – 1:50pm Chair Address
Will Scully-Power, Chairman, Sydney Data Miners
Big Data Analytics and Marketing
1:50pm – 2:10pm
How to monetise Big Data- Case studies and demonstrations

Tony Nicol, Managing Director, Servian
Nigel Peach, ANZ Sales Director, Servian

2:10pm – 2:35pm The Convergence of Digital Channels and Data

  • Understanding the role that data plays in optimising strategic outcomes of digital channels
  • Analysing the ‘infinitely’ changing data and understanding how it can be used to benefit an organisation
  • Tailoring offers to customers based on big data analytics

Murray Howe, Executive Manager, Digital Strategy and Innovation, Suncorp

2:35pm – 3:00pm ‘Big Data For The Rest Of Us’

We hear daily of the latest amazing application of big data by Google, Facebook, etc. But what about the rest of us? This talk takes a look into the unique data challenges for those of us not needing to understand petabytes of data. Our challenges are just as big, but relate more to ‘broad data’ and the difficulties in uncovering meaning buried in a continually growing and wide range of internal and external data sets.

Steve Bennett, National Head of Analytics, News Ltd

3:00pm – 3:25pm Big Data Impact on the Economy and Society; Use Cases and Potential

  • Understanding customer behaviour
  • Social media monitoring
  • Analysing customer communications
  • AusAID/UN Gazetteer Project
  • Assembling geo-spatial data across Indonesia
  • Identifying vulnerable communities using disparate data sources

Alan Dormer, Science Leader, Government and Commercial Services, CSIRO

3:25pm – 3:45pm AFTERNOON TEA BREAK
3:45pm – 3:50pm Chair Address
Sidney Minassian, Founder and CEO, Contexti
Big Data across Industries
3:50pm – 4:15pm What does Big Data mean for Healthcare?

  • How do we apply machine learning?
  • How do you demonstrate short term immediate benefit from the data?
  • How can we help people do their jobs better?

Leif Hanlen, Director of eHealth Business Team, NICTA

4:15pm – 4:40pm Big Data Applications

  • How are they different and why do they matter?
  • Examples and early trends
  • Big data applications in social media monitoring and social advertising
  • Demo

Ayan Barua, Co-founder & CTO, Credii (USA)

4:40pm – 5:05pm Applications for Big Data Analytics in Electricity Networks – Not Just Customer Billing
Graeme McClure, Engineering Lead, Smart Networks – Network Automation, SP AusNet


Delegates move into Stream 1

Big Data 2012 Conference Brochure Download

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