Event Details

SNUG

SNUG is a quarterly SAS event hosted in Sydney, bringing the users together in a forum to discuss concerns chaired by the user group committee. This forum will also expose the users to software features and upgrades.

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SNUG event

SAS Briefings

Leveraging Advanced Analytics to Improve Organisational Performance

Are you getting a competitive advantage from analysing all your customer, operational and financial data? Are you sure that your organisation is tracking the right KPI's to ensure best-practice service?

To better understand what Advanced Analytics really is and what kind of initiatives it can help support in both the private and public sectors, you are invited to a SAS briefing on "Leveraging Advanced Analytics to Improve Organisational Performance.

SAS Briefings

Is your organisation maximising one of its most valuable resources - Data?

Many organisations struggle to provide executives with the information they require to make fact based decisions that drive sustainable growth. This is in no small part due to the difficulty in acquiring and integrating data while maintaining data quality.

To better understand these critical issues and the SAS roadmap to successful enterprise information management, SAS is very pleased to extend a complimentary invitation to the SAS Data Integration and Data Quality briefing.

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Data Maximisation

SAS Briefings

What's poor Data Quality costing your organisation?

Join us for an exclusive presentation by international experts Tony Fisher and Pat Herbert from DataFlux on how leading organisations are gaining control of their data to maximise value.

In this exclusive presentation both Tony and Pat will focus on:

• Why executives should invest more in securing the quality of their data
• Foster improved collaboration on joint IT and business initiatives
• What organisations are doing internationally to gain control of their information assets through enterprise-wide information quality improvement projects

For more information or to register click below
Data Quality