Australian Building Analytics Lab

analyticsengines

About

New information and communication technologies are placing a massive and rapidly growing volume of data at our disposal. The construction and property industry generally fails to utilise the available data effectively to improve understanding and decision-making processes. Complex, timely and dynamic decision making is undertaken at the project, operational and strategic level by all organisations. Analytics is a powerful new business concept that seeks to promote more evidence-based and systematic decision-making using a variety of established and emerging data analysis techniques.

The Australian Building Analytics Lab is seeking to develop and implement new analytics capabilities relevant to construction and property. The primary focus is on business analytics, which involves sourcing, storing, analysing and interpreting data collected from multiple business processes and combined into a dynamic decision-support system. The key innovation is in how data from multiple sources can be aggregated and the resulting very large datasets analysed using novel statistical techniques. Advanced visualisation techniques are then applied to interrogate and make sense of the data as it is sliced and diced along key performance metrics. This approach is already proving successful in other industry sectors such as aviation, travel, and finance to improve organisational performance and create a sustainable competitive advantage.

A secondary focus is on the specific, significant capabilities of a particular digital technology – the video game engine. A video game engine is the kernel of coding used to drive a collection of actual game implementations. Extremely high performance graphics capabilities are used to render moving photorealistic scenes in real time 3D. Of particular interest is the rapidly developing capacity for game engines to harvest, process and represent to the user in real time a myriad of data input sources ranging from live video streams, spatial scanning devices, web feeds, databases, building information models, blogs, third party software and largely anything digital. This approach is entirely novel and presents an opportunity to immerse decision makers in a digital world of data that is interactive and directly related to real world settings using virtual reality technologies.

The use of CryENGINE as an analytics engine is unique to our work. We see a broad and compelling scope for the application of such analytics engines, to probabilistic cost control, design generation, development planning, user engagement and more.

Please refer to the demonstration projects for examples, or contact us to discuss how an analytics engine technology might improve your key performance outcomes.

 

Page Last Updated: 17 Dec 2015