Data in Asset Management

The Data Special Interest Group has developed an Asset Data Management System Model for discussion by the AM Council membership. Take a look at the details here. Feedback Sought on the Asset Data Management System Model White Paper Julian Watts is the AMCouncil...

Asset-intensive industries continually strive to improve profitability while at the same time reducing business risk and expenditure. Today's financial climate and market competition require organisations to improve productivity and asset performance with less...

Capturing data is all well and good, but converting it into meaningful information that informs key decision making, in a timely way, can be a real challenge. Discover the core barriers to effectively gathering, cleansing and then analysing data so you can improve you...

Discover how an Australian utilities company used big data-driven insights to optimise lifecycle planning, budgeting and strategic management. The solution was easy to use and easy to understand, enabling the organisation to proactively identify problematic or costly...

Today’s tough financial climate and market competition requires organisations to improve their productivity and asset performance with less resources and capital. Discover how Asset Performance Management (APM) strives to use the increasingly large amounts of data to...

Big Data is a hot topic - there's an increasing trend to focus on the value that data analytics can bring to business. But despite the buzz, there is very little attention being paid to the quality of all this data. Discover just how important quality is when it comes...

The Auburn Stabling project involves the construction of a new train stabling facility in Sydney's north-west, with the aim of catering for the expected increase in train services in Sydney's inner-west and south-west. Discover how a smarter use of data would prove...

Using existing data can help you gain early wins with your team. This article outlines two kinds of approaches for quick wins: better visualization and analysis of existing data or deploying an IoT sensor network to collect more relevant information.  Read more here  ...

This paper assesses the potential consequences and associated risk levels for a major explosion following catastrophic failure of an hypothetical hydrogen-containing plant operating at elevated temperature and pressure. The plant is mooted as being located in an...

This paper presents a framework for assessing the impact of the data collection process on the validity of key measures in reliability. The quality of data is affected by many organisational and behavioural factors. The aims of developing this framework are to (1)...