Fwd: [CanberraRUG] Canberra Event August 28: Predictive analytics in government

[Glen Newton]

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From: Eugene Dubossarsky <[hidden email]>
Date: Mon, Aug 6, 2012 at 10:22 PM
Subject: [CanberraRUG] Canberra Event August 28: Predictive analytics in government
To: [hidden email]

Canberra Event August 28: Predictive analytics in government Sponsored by BAE Systems Australia Tuesday, 28 August 2012 5.30PM–7.30PM BAE Systems Australia 14 Childers Street Canberra ACT 2600 RSVP essential to [hidden email] by 26 August Many agencies are seeking to harness the potential of Predictive Analytics. This session will provide practical guidance for getting started with Predictive Analytics initiatives, drawing on lessons learned at the Department of Immigration and Citizenship. Conventional Business Intelligence provides a largely historic view of enterprise data, but its volume and complexity often obscure additional insights. Predictive Analytic methods can uncover highly specific predictive patterns, trends and relationships. These data-driven insights can be utilised by public sector agencies to create risk and behavioural profiles, detect and counteract fraud and non-compliance, and enrich strategic and operational intelligence products. The session will cover: How Predictive Analytics makes use of data What comprises a Predictive Analytics capability, and how to develop one How to develop a business case for Predictive Analytics What you can do to get started with Predictive Analytics, right now, with the resources and data you already have This is a free, public event. Stephen Samild Presenter With over a decade of experience in business analytics, Stephen Samild held consulting, advisory, implementation, solution specialist and product management roles at SAS, Cognos, and Beacon IT before co-founding Presciient in 2008. Dr. Graham Williams Analyst First Chapter Head, ACT Director of Analytics at the Australian Tax Office, Graham Williams is also a fellow of the Institute of Analytics Professionals (IAPA), and creator of the popular data mining package Rattle.



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