Next-Gen Predictive Analytics

PAG: Leading AI & ML Innovation
Transforming Business Operations

Cut through the AI complexity and turn your challenges into successes

Who We Are

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Our Team

Brings together world-class data scientists, mathematicians and software engineers to create brilliant solutions.

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We Deep Dive

We apply the most up to date techniques to extract meaning from your data regardless of how complex it may be and turn AI and statistical predictions into actions

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We Value

Transparency, honesty and the ethical application of AI and machine learning techniques cognisant of their future impact on business and society as a whole.

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We Believe

That there should not be any barriers to the access of information whilst maintaining privacy, fairness and accountability in the collection, use and processing of data.

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We Strive

To produce new analytical technologies that advance and empower businesses to unlock insights from data.

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We Acknowledge

The diversity that enriches our society and take responsibility for how our actions impact the world, ensuring that we direct our actions in ways that are beneficent rather than harmful.

How We Can Help You

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01 Dedicated Team

Our PhD data scientists bring extensive private/public sector expertise in implementing innovative solutions across health, finance, emergency services, infrastructure, and transport.

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02 Software & Automated Pipelines

We create customised software and automated pipelines tailored to our clients’ needs, enabling them to leverage advanced AI and statistical models while cutting cloud/on-premise processing costs and time.

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03 AI and Machine Learning

Our team is well positioned to help you progress your AI journey. We have practical, real-world experience applying the latest AI technologies to generate competitive insights.

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04 Analytics

Leverage our deep experience aggregating and analysing large, challenging data sets including image and text data. Our data scientists offer tailored support, enhancing workflows, and saving time.

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05 Consulting

Our experience consulting for some of the world’s largest companies and government departments enables us to engage efficiently and propose solutions that have practical outcomes.

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06 Ongoing Support

Change can be sudden or gradual. Our team collaborates with in-house data science teams and project managers, offering continuous support, listening to feedback, and discussing impactful future changes.

Discover Predictive Analytics Group

How We Collaborate With You

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Define the Problem

Our Project Managers consult extensively with our clients to ensure the problem definition and scope are aligned.

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Analysis & Planning

Our PhD-level team constructs algorithmic frameworks for your business’s competitive advantage.

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Delivery & Integration

After testing and development, we oversee seamless integration with clients’ existing systems for a successful release.

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Ongoing Support

Our dedicated team collaborates with the Project Manager for ongoing application support and performance monitoring post-implementation.

Using advanced Optimisation and AI, SchedulOpt® enables sporting organisations to develop season schedules that meet the needs of staff, teams and fans.

  • Optimise schedules to suit your objectives
  • Minimise scheduling conflicts
  • Meet the needs of clubs, teams and venues
  • Cloud based - no software downloads required

Recent Projects

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City of Melbourne: Transforming Urban Planning with AI

City of Melbourne: Transforming Urban Planning with AI

PAG equipped the city with advanced predictive capabilities, significantly enhancing strategic decision-making in urban planning.

Problem

City of Melbourne Council (CoM) faced challenges in strategic planning, which required a model that could provide accurate predictions of the probability of re-development across the CBD.

Solution

An ensemble ML model was implemented across 13,500 sites, which factored in a range of features from disparate sources. The model estimated the likelihood of re-development for both residential and non-residential sites. Innovative feature engineering and rigorous model evaluation provided a robust solution that was delivered through a turn-key API.

Impact

This advanced predictive framework has empowered CoM with precise, data-driven insights for urban planning, enhancing the decision-making process for Melbourne’s dynamic development landscape.

Impact
NSW Ministry of Health: Advanced Analytics for Health Planning

NSW Ministry of Health: Advanced Analytics for Health Planning

Faced with the challenge of strategically allocating billions in health funds, the NSW Ministry of Health turned to PAG's advanced analytics platform for data-driven clinical services planning.

Problem

The NSW Ministry of Health required a sophisticated tool for strategic allocation of extensive capital health expenditure.

Problem

Solution

Predictive Analytics Group (PAG) developed the NSW HealthAPP Analytics Platform, employing intricate algorithms for health activity planning and analysis, enabling comprehensive modelling of healthcare facility impacts, demand forecasting and scenario analysis.

Impact

This platform has streamlined the business case process. It has transformed complex health data into accessible insights, guiding informed healthcare investment decisions and positively impacting the state's public health system.

Enabling Quantitative Investment Capabilities at Scale

Enabling Quantitative Investment Capabilities at Scale

PAG revolutionised a leading hedge fund’s data management and quantitative portfolio management capabilities with a unified data warehousing, processing and analytics solution.

Problem

A leading hedge fund faced challenges in efficiently managing high-dimensional data, hindering its ability to implement automation and ML/AI capabilities in its portfolio management strategy.

Solution

PAG developed a state-of-the-art data platform on the client’s servers to streamline data collection and storage. The platform includes a custom library for enhanced data access and manipulation, along with an analytics environment for effective modeling and testing.

Outcome

This solution notably improved the fund’s data usage efficiency, reducing time spent on data management and enabling quicker implementation of investment strategies, thereby advancing their investment process.

Outcome
A World Cup Legacy Through Data-Driven Innovation

A World Cup Legacy Through Data-Driven Innovation

For the 2022 World Cup, PAG designed a comprehensive financial model for Lusail, Qatar, enabling optimal allocation of billions of dollars in large-scale infrastructure investment for the city.

Problem

Facing the challenge of efficiently allocating vast investment expenditure in preparation for the 2022 FIFA World Cup, Lusail City needed a model to integrate complex, multi-disciplinary data sets to enable optimal resource allocation.

Problem

Solution

PAG responded with an advanced financial modelling application enabling dynamic forecasting and scenario analysis, tailored for multifaceted urban planning needs.

Outcome

This initiative enabled precise and strategic urban and infrastructure development decisions, maximizing the impact of investments and marking a milestone in leveraging data analytics for large-scale event preparation and urban management.

Real-Time Utility Anomaly Detection

Real-Time Utility Anomaly Detection

With the responsibility of maintaining essential water services to 1.8m people across a 3600m2 distribution network, South East Water (SEW) turned to PAG for the implementation of an advanced anomaly detection system.

Problem

SEW required a sophisticated monitoring system to accurately identify leaks and anomalies in its vast SCADA system, essential for preserving network integrity.

Problem

Solution

PAG crafted a cutting-edge solution by combining Bayesian statistical models and machine learning techniques, implemented within a dynamic, real-time framework for precise anomaly detection in SEW’s infrastructure.

Outcome

The implementation of this solution markedly improved SEW’s ability to monitor its network, resulting in enhanced operational efficiency, significant reductions in water waste, and a bolstered water supply reliability for its extensive customer base.

Responding to emergency call demand with predictive analytics

Responding to emergency call demand with predictive analytics

Triple Zero Victoria, the state’s emergency call-taking authority, turned to PAG to implement emergency call demand for streamlined operations and service delivery.

Problem

Accurate prediction of emergency call demand was essential for the organisation’s operational efficiency and budget management across its service lines.

Solution

PAG developed a real-time, econometric model embedded in custom software for dynamic forecasting and scenario analysis, enhancing decision-making capabilities.

Outcome

The solution yielded significant workforce efficiency gains in the first year and supported the organisation in securing additional ongoing funding from state authorities.

Outcome

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