There’s a lot of discussion about the use of data in asset management. Just how important is data and the people who work with it?
Ursula
Organisations are beginning to think of data as an asset, which provides discipline and enables the sort of thinking that is applied to physical assets – including the costs and benefits of collecting and maintaining that data. We’re also starting to see organisations put data on their balance sheets, and the UN has recently issued guidance on this. This shifts the thinking away from data is a cost to what value can be derived from data.
Tom
Data can be extremely valuable, but it needs to be kept up to date. For the foreseeable future, that will require some human intervention. It needs a standardised approach too. While the value of BIM for designers is clear, I think people’s appetite to do exciting work ran ahead of industry agreement on things like standardising data structures. Similarly with AI. I see a lot of AI use cases, and its ability to analyse messy data is brilliant. But for me the big opportunity is the underlying data. How can we use the analysis to feed back to an organisation’s leaders, show them how the messy data affects decision-making and put steps in place to improve that data?
Ursula
The industry needs to ensure it has people who can tackle questions like these, people with different skills, capabilities and competencies. In the future we will need people who can make use of AI just as much as we need people who can engage with stakeholders to co-create solutions that meet their needs.