BAE Systems Australia
Tuesday, 28 August 2012
BAE Systems Australia
14 Childers Street
Canberra ACT 2600
RSVP essential to email@example.com
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.
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
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.
About usAnalyst First is a new approach to analytics, where tools take a far less important place than the people who perform, manage, request and envision analytics, while analytics is seen as a non-repetitive, exploratory and creative process where the outcome is not known at the start, and only a fraction of efforts are expected to result in success. This is in contrast with a common perception of analytics as IT and process.
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