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The world is a complex place, and data from your business will rarely fit into the strict constraints of off-the-shelf algorithms. PAG was established in 2012 by a group of committed mathematicians, statisticians, and computer scientists who were determined to use their skills to solve real-world problems and make modern analytical solutions accessible across a range of industries.

PAG specialises in the development of commercially relevant analytical models. Our data analysts employ advanced statistical methods, many of which have been developed and published by our staff. Their deep knowledge in these fields of expertise provide our clients with a true competitive advantage in the market. Our solutions are not generic or superficially customised versions of standard algorithms or software. We work with our clients to create uniquely tailored solutions that capture the complexity of their market and provide accurate predictions and scenario testing. We ensure robust data analytics and IT solutions that can provide you with substantial competitive advantage.

Our team works across a broad range of sectors, including Health, Sports, Scheduling, Emergency Services, Social and Community Engagements and Funds Management. We have a research and development stream which investigates current challenges in business and society, resulting in a team that is well versed on the strengths and weaknesses of current data and technology trends. Our staff have both long-standing and evolving collaborative links with academia, ensuring they participate in the exciting and rapidly evolving landscape of AI theory and deployment. PAG staffs are experts in developing production quality code and have created libraries for many emerging algorithms that are not currently available in robust open source or commercial code.

For more information, visit our website, call us at +613 9639 9623, or email info@pa-group.com.au

Keywords

statistical & predictive analysis, forecasting, policy analysis & evaluation, economic costbenefit evaluation, forecasting & simulation modelling, cost & market modelling, pricing models, senario analysis, software development, model review & evaluation

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13
2012
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