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Interactive Forum Wednesday, 22 August 2012
Supported by: Researched by:Official Media Partner:
8:30 Registration and refreshments
9:00 Chairpersons opening remarks
Alan Duncan, Practice Leader Information and Data
Management,
SMS Management and Technology
9:15 Building the business case and proving the value
proposition of the
data warehouse and business analytics
Justifying the investment in data warehouse projects
Inuencing and negotiating C-level stakeholders and executives
toestablish support
Demonstrating the tangible benets and value proposition of
data
warehouse
Measuring the business value of data warehouse
Demonstrating the value of Big Data analytics
Robert Hilliard, Partner and National Leader, Technology
Consulting,Deloitte
10:00 Effectively engaging with end-users to meet their
information needs
Gaining support from non-data warehouse experienced users
including IT professionals, customers and end-users
Maintaining user enthusiasm to continue using the data
provided
Enabling end-users to understand and leverage data needs
Russell Garnett, BI Systems Manager, Asciano Limited
10:45 Morning refreshments and networking
11:15 Maturing your organisations data quality capability
What is data quality management and setting a vision?
Taking a framework approach
Maturing data quality capability is mostly about people not
data
Measuring success
Robert Barnfather, Enterprise Information Architect, Australia
Post
12:00 Transforming the data warehouse using agile methods- A
UnitingCare
Health Case Study
The difference between agile data warehousing and agile BI
delivery
Utilising agile data warehousing for quick and relevant delivery
of
dataImportance and benets of having a exible data warehouse
tomeet current needs
Overcoming the barriers to move from waterfall to agile DW
Deploying self-service data warehouse for user-friendly
services
Brenda Ryan, Business Systems Specialist, UnitingCare Health
12:45 Networking lunch
1:45 Interactive session: The impact of big data on data
warehousing
Dealing with large volumes of data and understanding the
storageand processing needs
Effectively bringing together internal and external data sets
and
integrating big data with existing data warehouse
capabilities
Applying data analytics to unstructured data: how to get
more
business value and actionable output from unstructured data
Analysing big data using technologies like Hadoop, Complex
Event Processing (CEP) and Massively Parallel Processing
(MPP)
architectures
Martin Rennhackkamp, Business Intelligence Specialist, PBT
Group
2:30 Data Mart as the option for producing better business
analytics:
Australian Sports Commission case study
The rationale for to opt for Data Marts as oppose to a single
centraldata warehouse
How this model is able to meet and deliver on business
expectations
How this model will support other emerging trends, such as
social
analytics
Papiya Chakravati, Director, Information Management
Services,
Australian Sports Commission
3:15 Afternoon refreshments and networking
3:45 Innovative and cost-effective approaches for Business
Analytics
Open data movement
Moving towards a streamlined approach to maintain
consistencyacross the boards
Using cloud and mobile data to reduce costs
Effectively utilising open-source platforms
Neil Fraser, Information Director, Macquarie University
4:30 Panel discussion: New technologies and trends in business
analytics
Moving beyond traditional data reporting to business
analytics
The new wave in market development from data hypothesis to
predictive analytics
The rise of geo-spatial analysis and its benets
Mobile deployment of business analytics and active mobile
interaction with business analytics
Panel members: Russell Garnett, BI Systems Manager,
AscianoLimited; Mark Kortnik, Chief Architect- Information &
Corporate
Systems, Telstra; Robert Hillard, Partner and National
Leader,
Technology Consulting, Deloitte
5:15 Chairpersons closing remarks and end of connected forum
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What do you keep, what do you throw away and how do you do
this?
What can be derived to give your company an advantage?
How do you do this effectively and within your budget?
Your organisation has more data than ever before!
Interactive Workshops Thursday, 23 August 2012
Your organisation has more data than ever before! What do you
keep
and what do you throw away and how do you do this? What can
be
derived to give your company an advantage? How do you do
this
effectively and within your budget?
An agile data warehouse and effective big data analysis are
essential
components in facilitating business trends and growth. These
tools
play an important role when building the foundations for the
perfect
competitive advantage.
The digital revolution has not made the task of measuring
analysing
business data any easier either. The rise in web, social media
and
other digital technologies has affected the volume of
information we
interact with on a daily basis. Practitioners face the ongoing
challenge of
demonstrating ROI by extracting valuable data from a sea of data
noise
that continues to grow.
You will explore the following challenges:
Demonstrating the tangible benets and ROI of data
warehousingEffectively managing Big Data
Overcoming the barriers of to move to agile data ware
houseMaturing organisations data quality capabilityBringing IT
costs into control by effectively using CloudNew technologies and
trends in business analytics
About the workshop:Big data is a big thing for industries and
government organisations. A particular challenge facing almost all
organisations is to effectively analyse anomalies and exceptions in
big data.
This includes dealing with extremely imbalanced data, actively
managing the risk of customers, services, businesses, processes,
and policies. This workshop will address problems, cutting-edge
technologies and effective solutions for tackling such critical
challenges.
What will delegates learn?
Basic concepts and major challenges brought by big data in major
organisations; an overview of state-of-the-art technologies for
anomaly/outlier detection; cutting-edge techniques
for complex behaviour analysis, scenario analysis and impact
analysis for active risk management; real-life examples of
identifying and quantifying risks in big data within complex
environments;
cost-benet analysis for optimizing the risk management
capabilities in big data.
Wrp A: Ama Deec ad R Aa f Bg Daa w Cmpex ErmeRegistration and
refreshments: 9.00 amWorkshop time: 9.30am - 12.30pm
Facilitated by: Longbing Cao, Professor, Faculty of Engineering
and IT Director, Advanced Analytics Institute, University of
Technology Sydney
About the workshop leader:
Longbing Cao is a professor of information technology and the
Founding Director of Advanced Analytics Institute at the University
of Technology Sydney (UTS). He has PhDs in
Intelligent Sciences and Computing Science and is also the
Research Leader of the Data Mining Program at the Australian
Capital Markets Cooperative Research Centre. He is
a Senior Member of IEEE, SMC Society and Computer Society.
About the workshop:Many cloud computing contracts are very
restrictive and users of cloud computing may not be aware of the
risks of using cloud vendors without carefully reviewing the
contract. Making
sure you can always access your data, making sure you actually
own your data, where the data is stored, which law applies to your
data are all important issues to be covered off, not to
mention data privacy. These issues and more will be discussed
during the workshop.
What delegates will learn:
Delegates will learn what to look for in cloud vendor contracts
so that their data is protected before engaging a cloud vendor to
handle their data. While cloud computing brings many
benets to organisations including reduced costs of storage and
handling of data, the risks need to be considered and addressed so
that they do not outweigh these benets.
About the workshop leader:
Allison Staneld is the founder of e.law International, a niche
legal technology company that specialises in digital evidence.
Allison is a lawyer who specialises in emerging
technologies, and has years of experience managing complex
litigation involving digital evidence.
Wrp B: Cd Cmpg Crac: Precg r daa w a d cracRegistration and
refreshments: 1.00 pm
Workshop time: 1.30pm - 4.30pm
Facilitated by: Allison Staneld, CEO, e.law Asia Pacic
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Revolut ionis ing the Data Warehouse and Business Analyt ics
Eve vee ommoo
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Delegate Name Job title Email address
1st
2nd
3rd
4th FREE
22 - 23 Ag 2012, Rdge Mebre
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sadard Prcg qae $300$2585 + Gst =$2843.50
qae $200
$1990 + Gst = $2189q$1495 + Gst = $1644.50 q$695 + Gst =
$764.50
Er r(exp: 24/07/2012)Not valid with any other offer
qae $400
$2485 + Gst = $2733.50qae $300
$1890 + Gst = $2079qae $200
$1295 + Gst = $1424.50qae $60
$635 + Gst = $698.50
Memer oer(exp:24/07/2012)I am a member of an organisation
supporting this forum Not valid withany other offer
qae $500$2385 + Gst = $2623.50
qae $350$1840 + Gst = $2024
qae $250$1245 + Gst = $1369.50
qae $100$595 + Gst = $654.50
AG-WEB
