Program - Big Data Conference 2012, CeBIT Australia

CeBIT Australia CeBIT Global Conferences

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 Facilitator: Tony Davis, Owner & Director, Quantium Panellists: 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
10:55am – 11:20am	NATIONAL KEYNOTE PRESENTATION 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 Panellists: 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

Stream 1
Stream 2

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? Panellists: 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
WRAP UP DISCUSSION
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? Facilitator: Tony Nicol, Managing Director, Servian Panellists: 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
WRAP UP DISCUSSION
Delegates move into Stream 1

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