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1 28-29 August 2012 Melbourne Register early and save with Early-Bird Discounts! Further Group Discounts for 3 or more delegates! Big Data Analytics is Australia s first dedicated case studies conference that explores the latest tools, technologies and best practices which are essential to make Big Data work in an organisation. Mark Kortink Chief Architect, Information and Corporate Systems Telstra Poli Konstantinidis Head of Risk Infrastructure GE Capital Daniel Collins Manager, Strategic Analysis Ausgrid Paul Ormonde-James Director, Business Solutions and Insights Echo Entertainment Group Dr Marie Balce Manager, Networks Forecasting and Analytics Optus-Consumer Australia Dr Stephen Kennett Science Team Leader, Data Quality Defence Science and Technology Organisation David Erving Manager, Retail Credit ANZ Dr Leif Hanlen Health Business Team Leader NICTA Aidan Green Director of User Experience and Founding Team Real Estate Australia Warwick Graco Senior Director Operational Analytics Australian Taxation Office Big Data Drives Big Business Organisations are experiencing an explosion of digital data generated through advances in technology subsequently causing strain on storage requirements. Unstructured data needs to be stored, managed and protected before leveraging its real value. Big Data is set to play an important role within business intelligence and strategy. Organisations need to be ready to take on the Big Data challenges by arming themselves with the right technologies that add real business value and return on investment. Big Data Analytics will see cross-industry experts at the forefront of the Big Data challenge sharing insights and exchanging opinions on how they make Big Data work for their organisations by: Driving a new wave of productivity and making data sets work Identifying gaps in the market, managing risk and providing services that are truly valued Engaging opinions and networking with senior business leaders from various industries Big Data It s not just an IT challenge, it s the New Business. Supported by Organised by INTERNET INDUSTRY A S S O C I A T I O N REGISTER NOW:
2 Join the Big Data revolution and develop the necessary resources to lead business intelligence, analytics and strategy in the 21st Century The Big Data wave is coming but will you be ready? Each day, 2.5 quintillion bytes of data are created around the world and gathered from digital images, remote sensors, consumer transactions, mobile phones and Twitter amongst a huge mix of sources. This is Big Data. As data sets grow, they become increasingly hard to capture, store, share, analyse and visualise using traditional systems. At Big Data Analytics, you will hear about best practices, solutions and methodologies to handle the massive growth of data. Discover how to manage the huge volume of data at your disposal Understand how to harness the velocity of time-sensitive data streaming through your organisation Learn how to analyse the variety of structured and unstructured data including text, images and audio Senior business leaders will reveal how they leverage the Tsunami of Big Data allowing you to examine the solutions vital to manage your own data sets whilst maximising their value. Learning Objectives Discover how Big Data can offer you a competitive advantage through greater insight leading to enhanced strategic direction Develop an effective analytics strategy that delivers substantial business value Learn from industry leaders already deriving value from their data assets Maximise the business advantage of predictive and prescriptive modelling Optimise information management and data quality programs Identify next steps for advancing your analytics, MDM, SaaS and mobile BI initiatives Understand the latest vendor dynamics and emerging technologies for today s Big Data Share experiences with peers across industries Who Should Attend All industries including public sector can take advantage of a data-driven approach; from retailers studying consumer buying habits to insurers looking to manage risk and retain customers. Business Analysts System Analysts Data Modellers Enterprise Architects Directors of IT and BI Chief Information Officers Data Miners Project Managers Customer Analytics Managers Analytics Consultants Database Administrators Finance Executives Data Warehouse and Quality Managers Group Discount Register 3 delegates and receive 10% off Register 4 delegates and receive 15% off The Group Discounts apply on top of the Early-Bird Discounts! Industries surrounding Big Data, Analytics and BI Banking and Finance: Gain insight into risk management, fraud prevention and consumer behaviour by providing access to trustworthy, accurate and comprehensive data. Insurance: Attract and retain customers with effective marketing campaigns by having a complete view of customer data across policies, claims and customer service. Retail: Develop new strategies and drive loyalty by analysing consumer habits and buying behaviour. Telecommunications: Build long term strategy whilst improving corporate forecasting, customer experience and profitability measurement by evaluating customer usage records. Government: Improve public service and security, aid in decisionmaking and increase operational efficiency by enabling transparency and accountability. Energy: Minimise risk, enhance forecasting and boost efficiency by leveraging the huge volume of real-time information generated from smart grids. Media and Entertainment: Discover how to manage digital recording, productions and delivery of large and rich content as well as user viewing and gamer playing behaviour data. Transportation: The importance of leveraging data from consumers continuous streams of data about themselves through checkin locations, likes and opinions to improve services and remain competitive Online: Predict buying habits and personalise the online customer experience by applying data science to digital marketing. Healthcare: Accelerate research through analytics to aid early detection, facility management and ultimately improve patient outcomes. Manufacturing: Maximise ROI by managing inventory, monitoring supply chain, and regulating manufacturing processes. Sponsorship Opportunities Conference sponsorship provides an effective and efficient marketing solution for companies looking to demonstrate capability, align their senior management team with thought leaders and raise their organisation s profile in a new market or focused area. Opportunities are available to: Make a presentation or participate in a panel or roundtable discussion Exhibit and have a branded presence at the event Host the Networking Drinks Reception or a private dinner Sponsor today and we can help you to capitalise on the early receipt of delegate contact information. Host key clients and prospects via your own private lunch, meeting or dinner. For more information on the Big Data Analytics conference or for speaking enquiries, call us today at What is BIG DATA? Big Data is a general term used to describe the explosion of data volumes brought on by legacy data, transaction processing and social media. Depending on how you manage it, Big Data and analytics can lead to improved reporting, business insight and decision making.
3 Leverage value from increasingly large data sets to improve business insight, value and capabilities. DAY ONE, Tuesday 28 August 2012 DRIVING BUSINESS INTELLIGENCE, ANALYTICS AND STRATEGY THROUGH BIG DATA 8:50 AM Opening from the Chairperson Doug Campbell, Chairman, Institute of Analytics Professionals of Australia 9:00 AM Panel Discussion: How can a Data-Driven Approach Improve Business Insight? How is Big Data changing business reporting and strategy? Is Crude Data the new Black Gold in the 21st century? How will social data shape the enterprise? Clare Fernando, Executive Director, Mediabrands Analytics Paul Ormonde-James, Director, Business Solutions & Insights, Echo Entertainment Group Marco Schultheis, Executive Director, Strategy and Planning, Curtin University of Technology 9:45 AM Case Study: The New Business Black Data Architecture Driven by Business Goals and Requirements Harnessing Big Data for better decision-making and operational excellence Preparing your organisation for the Big Data wave of social conversations Analysing customer insights Using text analytics to drive engagement 10:15 AM Morning break THE STORAGE AND ARCHITECTURE CHALLENGES OF BIG DATA 11:00 AM Panel Discussion: Storage: The Ever-Changing Architecture Address storage and its market challenges in the next 18 months Strategies for migrating to the Cloud Is the Cloud becoming a commodity? Options for managing budget pressures and existing storage assets Cameron Moore, CTO, Movideo Dr Leif Hanlen, Health Business Team Leader, NICTA 11:45 AM Panel Discussion: Big Data Platforms and Tools: What s the Future for Hadoop? 12:30 PM Lunch Discover Hadoop and how it s built to manage large-scale computing What is Hadoop and how can organisations use it to maximum value? What is Complex Event Processing and what great promise does it offer? What are some of the challenges with large and unusual data sets? Mark Kortink, Chief Architect - Information & Corporate Systems, Telstra Dr Stephen Kennett, Science Team Leader Data Quality, Defence Science and Technology Organisation EXTRACTING VALUE AND GOVERNING THE HUGE VOLUME, VELOCITY AND VARIETY OF INFORMATION 1:45 PM Panel Discussion: Privacy and Data Governance: Security, the Cloud and Big Data Strategies for determining a Personal Identity Management Policy Who owns your Big Data and what happens if there is a data breach? Managing unstructured data from mobile, tablets, and sensors Dr Paul Bracewell, Head of Analytics, Consulting and Innovation, Dun & Bradstreet Australia Denise Montgomery, Research Director, Financial Services Asia/Pacific, Ovum 2:30 PM Case Study: Examining the Data Frontier: Large- Scale Data Analysis and Visualisation Discover how an industry extracts value from large data sets Understand why data visualisation tools are crucial Strategies for extracting value from large-scale data sets The importance of collaboration Sunil Arumugam, SBS Business Intelligence, Portfolio Manager, Suncorp Group 3:00 PM Afternoon break PUTTING BIG DATA INTO PRACTICE: HOW TO INTEGRATE THE BEST TOOLS AND TECHNOLOGIES INTO EXISTING SYSTEMS 3:45 PM Panel Discussion: Software Applications: Big Data Apps Incorporating Big Data in business decisions and delivering new products to their customers What Big Data Apps are emerging for specific industries? When and what to consider with in-house Big Data Apps Encouraging organisation wide buy-in into the importance of data Warwick Graco, Senior Director Operational Analytics, Australian Taxation Office Andrew Bissett, Group Manager Risk and Policy, Woolworths Clare Fernando, Executive Director, Mediabrands Analytics Graham Sammells, Chairman, ASFA Electronic- Commerce 4:30 PM Analyst: The Big Market for Big Data: Analysing Big Data and Analytics Solution Providers Everything that an enterprise user needs to understand before choosing a vendor. Overview of key solution providers and consultants Where will growth in the Big Data software market occur? Will open-source solutions challenge the traditional vendors? Denise Montgomery, Research Director, Financial Services Asia/Pacific, Ovum 5:00 PM End of Day One
4 Leverage value from increasingly large data sets to improve business insight, value and capabilities. DAY TWO, Wednesday 29 August 2012 CASE STUDIES AND PANEL DISCUSSION 8:50 AM Opening from the Chairperson 9:00 AM Case Study: Driving Change for the Online Service Industry Using available data sets as a change catalyst to exceed customers expectations Overhauling the online users experience Data Analytics an organisation s subculture A winning strategy 180 degree change within a year Aidan Green, Director of Users Experience and Founding Team, Real Estate Australia 9:30 AM Case Study: Applying Data Analytics to Online Marketing Discover the key ingredients for effective online promotion strategy by marrying marketing, technology and data analysis. Innovating with all the data available Analyse your data to unlock powerful business insights Predicting buying habits and proposes products to customer profiles 10:00 AM Case Study: The Telstra Strategy - Using Customer Analytics to Generate Valuable Data Generating a return from customer data Five critical factors to align Analytics are a way to measure and improve organisational capability Liz Moore, Head of Research, Insights and Analytics, Telstra 10:30 AM Morning break 11:15 AM Panel Discussion: Leveraging Analytics in banking to support Positive Credit Reporting Banking is a data-driven industry and powerful industry trends are putting business analytics at the top of the banking agenda. The role of analytics in risk strategies Applying data analytics to implement changes towards Positive Reporting Challenges with data governance in a changing regulatory environment Poli Konstantinidis, Head of Risk Infrastructure, GE Capital David Erving, Manager Retail Credit, Project and Initiatives, ANZ 12:00 PM Case Study: Leveraging Big Data to Improve Enterprise- Wide Demand and Capacity Forecasting and Profitability Measurements 12:30 PM Lunch Leveraging Big Data can trigger a sequence of business enablers. Accurate demand and capacity forecasting Better decisions on investment levels and timing Measurement of current and future product profitability Dr Marie Balce, Manager, Networks Forecasting & Analytics, Optus-Consumer Australia CASE STUDIES AND ROUNDTABLE DISCUSSION 1:45 PM Case Study: Detecting Application Fraud in Real Time Using Semi-Structured Data Understanding how data driven methods can be used to prevent fraud whilst minimising the impact on workload management. Developing strong data analytics capabilities Challenges around privacy, data security, data governance and identity management How is analytics providing more efficient fraud prevention? Dr Paul Bracewell, Head of Analytics, Consulting and Innovation, Dun & Bradstreet Australia 2:15 PM Case Study: Using Big Data Analytics in E-Health to Improve Patient Insight and Outcome Understanding how the Health Information system transforms unstructured mixed data set Big Data Problems - Population health, preventative health, genomics and disease control Changing the society health expectation with Big Data How the next generation of clinicians are using data Dr Leif Hanlen, Health Business Team Leader, NICTA 2:45 PM Case Study: Leveraging the Tsunami of Data from Smart Grids into Value Using data set to improve the efficiency of power generation, transmissions and distribution. Turning the huge volume of smart grid data into value Building robust systems and processes for data management and analytics How has smart metering changed the relationship with consumers? Daniel Collins, Manager - Strategic Analysis, Ausgrid 3:15 PM Afternoon break 4:00 PM Roundtable Discussion Speakers and delegates to share ideas, provide feedback and network. Delegates will choose a topic and be led by each Roundtable Leader. Topic 1: Developing and Reorienting an Analytics Driven Organisation Topic 2: Market and Technology Trends for Big Data, Analytics and Business Intelligence Topic 3: Leveraging Big Data for Better Customers Insights Topic 4: Developing Data Governance Best Practices for Big Data Topic 5: Getting More Value out of your Analytics Investments 4:45 PM Roundtable Discussion Topic 1: Developing and Reorienting an Analytics Driven Organisation Topic 2: Market and Technology Trends for Big Data, Analytics and Business Intelligence Topic 3: Leveraging Big Data for Better Customers Insights Topic 4: Developing Data Governance Best Practices for Big Data Topic 5: Getting More Value out of your Analytics Investments 5:30 PM End of conference
5 REGISTRATION FORM LOCATION AND DATE Melbourne August 2012 Crown Melbourne 8 Whiteman St Southbank VIC 3006 Tel. (03) REGISTER NOW - 6 EASY WAYS info@aventedge.com Call now on Fax this registration form to Mail this completed form together with payment to Aventedge at: P.O. Box 1654 North Sydney NSW 2060 Pay with your credit card online - visit: Group Discount Register 3 delegates and receive 10% off Register 4 delegates and receive 15% off The Group Discounts apply on top of the Early-Bird Discounts! Register Before 31 May 30 June 31 July 28 August 1 Delegate pass $1,845 $1,895 $1,945 $1,995 2 Delegate passes receive 5% off 5% Discount 3 Delegate passes receive 10% off 10% Discount 4 Delegate passes receive 15% off 15% Discount 5 Delegate passes receive 20% off 20% Discount All prices are in AUD ABN: DELEGATE AND COMPANY DETAILS 1 2 Name:... Name:... Job title:... Job title:... Tel:... Tel: Name:... Name:... Job title:... Job title:... Tel:... Tel: Company name:... Contact person:... Tel: Address: PAYMENT METHODS Bank Transfers: (please tick we will send you details in the invoice) Credit Card: Please visit to pay with your credit card Cheque: Mail to P.O. Box 1654 North Sydney NSW 2060 Please quote BIGD and your company name when making payment RESEARCHED AND ORGANISED BY Aventedge is a provider of business information offering timely conferences and workshops. Celebrated for its structured research benchmarks and for being produced by sectorspecialists, we guarantee you gain dependable, high-quality commercial knowledge at the forefront of issues. Aventedge has taken due care and diligence in selecting qualified professionals as its speakers. The information they offer, howsoever provided, is not produced by Aventedge and should in no way be regarded as financial or legal advice. Aventedge accepts no responsibility for reliance on such information and recommends that its clients seek independent, professional advice. Aventedge takes due care and diligence in producing its products. However, given circumstances beyond its control, Aventedge reserves the right to change any conference programme without notice. TERMS & CONDITIONS Travel & Accommodation Delegates are responsible for the arrangement and payment of their own travel and accommodation. We have arranged a special room rate for delegates at a number of hotels. Please contact us for further details. Cancellations Should you be unable to attend, a substitute delegate is welcome at no additional charge. Alternatively a full refund, less a $250 service charge, will be made for cancellations received in writing up to 28 days prior to the event. Regrettably no refunds can be made less than 28 days prior to the event, however, you may receive a voucher to use on a event in the future to the same or lesser value. Cancellations or transfers made within 7 days of the event date will not receive a credit note however, the registered ticket may be transferred to another person. Non-payment or non-attendance does not constitute cancellation. If, for any reason, Aventedge decides to cancel or postpone this conference, Aventedge is not responsible for covering consequential costs (airfare, hotel, or other travel costs) incurred by clients. Data Protection If you are receiving multiple mailings or you would like us to change any of your details, or remove your name from our database, please contact us a or compliance@aventedge.com Occasionally your details may be obtained from, or made available to, external companies who wish to communicate with you offers related to your business activities. If you do not wish to receive these offers, please tick the box.
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