Modla is a convenient platform for collaboration and asset analytics. Asset modelling is an important feature of Modla and it involves using components of asset analytics, optimisation techniques and reliability engineering to generate an end to end data and decision-making solution. Next in line is asset predictive analytics, predictive systems and predictive maintenance. Analytics is conducted in four phases: descriptive analytics, diagnostic analytics, predictive analytics and prescriptive analytics. Descriptive analytics looks at the history and overall performance, diagnostic analytics interprets data and extracts important insights, predictive analytics focuses on the logical progression of diagnostic analytics, while prescriptive analysis allows businesses to anticipate and respond appropriately. Predictive maintenance is a strategy that bases decisions around what maintenance is performed and when it is performed. Thus, Modla fills a unique void within the asset management landscape by providing a planned route to capture and analyse asset knowledge.