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Data Capabilities 
Realising your Data Capabilitites
Date: 27 - 28 May 2008
Location: Sydney, Australia  
Event Type:  Conference
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Description

Realising the Capabilities of your Data Warehouse and Repository
Effectively managing your organisation’s data through consolidation, analysis and reporting

This one-day conference is designed specifically for professionals seeking to expand and maximise data capabilities within their organisations. Learn from the experiences of others and leave this event with an understanding of how to:

• Set up the right expectations to build business value for your warehouse project
• Ensure successful creation, integration and longevity of your warehouse
• Address design issues, architecture and methodology
• Provide streamlined methodology to reduce costs
• Build a high quality data warehouse to support information needs
• Plan for the future of your warehouse

Strategic Data Mining: Techniques, Tools and Tactics
Strategically extracting useful information from complex data collections

This one-day conference is for professionals seeking to extract information from large or complex data sets. Through hearing practical case studies, you will learn how to:

• Recognise data mining opportunities
• Understand data mining implementation and processes
• Obtain the right resources and support for your data mining project
• Assess and validate different data mining models
• Effectively integrate solutions
• Undertake continual maintenance and consider future possibilities

These two intergrated one-day conferences will explore two pressing data issues for many organisations: realising the capabilities of your data warehouse and repository and strategic data mining. This pair of conferences aims to take a holistic approach to exploring and exploiting the potential of data tools services within organisations.

Attendees can choose to book onto either of the conferences, or indeed, senior managers may want to attend both days and/or accompany their employees to either conference in order to work through their own understanding of data warehousing and mining.


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