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Transforming businesses through the power of data analytics

Aurecon works with organisations and governments to help them understand the power of data analytics to transform their business. The knowledge extracted from data can provide fundamental new insights into operations and customers, enable better decision making at every stage of the asset lifecycle, and support new data-driven operating models.

New data-hungry technologies such as automation, artificial intelligence (AI) and machine learning (ML) are creating significant opportunities to improve productivity, safety and organisational effectiveness in every industry and every function.

Aurecon teams use their digital engineering and advisory expertise to work with our clients and partners to help them use big data, advanced analytics, machine learning and artificial intelligence to transform how they operate and how they compete; generating value for their business.

Our difference

Aurecon offers clients a powerful combination of world-class domain expertise in engineering, design and asset management and capabilities in machine learning, advanced analytics and big data management.

Unlike generalist consulting firms and ‘pure play’ analytics providers, our data and analytics team and related digital futures and creative technology and visualisation specialist groups have access to leading experts in all the engineering disciplines, as well as a vast body of experience in sectors such as energy, water, infrastructure, transport, built environment, resources and manufacturing.

How we deliver

We leverage data engineering, advanced analytics and machine learning technology to address a diverse range of client challenges. A typical project may include a combination of data scientists, data engineers, business analysts, software engineers and domain experts in disciplines such as geotechnical, electrical, civil and mechanical engineering.

Our data and analytics team works closely with all other parts of Aurecon to deliver exceptional results for clients, for example:

Visualise

Visualise

We build compelling interactive dashboards and data visualisation tools to show averages, variations, trends, relationships and structures.

Detect

Detect

We identify people, objects; assets, features; anomalies, faults; hazards, risks; actions and behaviours. For example, we map roads from aerial images and identified road signs and pipeline faults from video footage.

Predict

Predict

We use metered data from residential developments to predict critical peak loads for energy usage. We forecast demand, time, events, equipment failure, costs and revenue.

Optimise

Optimise

We optimise for site selection, routes, schedules, operational and production processes, and maintenance. Projects such as HVAC energy reduction, predictive maintenance and production process optimisation.

Automate

Automate

Automation of costly, repetitive or dangerous tasks; construction and production tasks; and inspections. For example, using unmanned aerial vehicles (UAVs) and machine learning to automate mapping of treacherous rock faces in New Zealand and South Africa.

Create

Create

Machine learning for designs, images, processes, strategies, and experiments. We applied machine learning based generative design to automate the configuration of a data centre.

Our services

We help clients manage, understand and extract insights from their data in order to improve asset management, optimise operations, make better planning and design decisions and run projects more efficiently.

Our services focus on four key areas and include:

  • Advising on the capabilities, processes, platforms and architectures required to manage big data effectively and securely
  • Designing and implementing data acquisition, storage, transformation and integration processes and infrastructure
  • Creating interactive dashboards and reporting tools to help clients understand their data and gain better insights into the performance of their assets and operations
  • Analytical models to optimise the management of assets or capital projects at the portfolio or program level
  • Automated asset condition monitoring and asset health prediction
  • Using machine vision to detect, geolocate and inspect geographically dispersed assets more accurately, quickly, safely and remotely
  • Predictive maintenance using machine learning to optimise maintenance scheduling, road surface evaluation and capital expenditure decisions
  • Optimisation of logistics, scheduling, capacity assessment, root cause analysis and production processes using machine learning
  • Improving energy efficiency of HVAC systems, pumps and other energy intensive systems using machine learning
  • Automatic event detection, activity analysis and traffic incident detection using technologies such as computer vision and machine learning
  • Using advanced analytics to inform infrastructure planning, transport planning and urban design
  • Leveraging predictive modelling to forecast or determine the likelihood of events such as predicting critical peak loads for energy usage in residential developments to support infrastructure planning
  • Automation and augmentation of design processes using generative design technology
  • Project monitoring and productivity improvement
  • Optimising site selection

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Get in touch with our people

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Hema Wadhwa, Aurecon
Hema Wadhwa

Associate, Asset Performance & Assurance – Australia

Troy Burton
Troy Burton

Managing Director, Infrastructure Performance – Australia

We would love to work with you to bring your ideas to life, so get in touch and we'll get back to you.

Or contact an office near you.