The mining sector has three clear priorities on how it wants to use data collected from IIoT infrastructure – to improve health and safety for employees (68 per cent), build better physical security of mines and the assets used onsite (58 per cent), and increase resource efficiency to reduce costs (48 per cent).

However, respondents made it clear that there are some significant challenges in being able to use and share data to improve operations, which place the majority of respondents in the IIoT laggard or IIoT starter categories.

How advanced is the mining sector’s approach to IoT data? (%)

Laggards
Starters
Progressives
Leaders

How advanced is the mining sector’s approach to IoT data? (%)

Laggards
Starters
Progressives
Leaders

Only 23 per cent stated that data from IIoT was available to anyone (following security clearance) in the organisation to interrogate, and 34 per cent said that data was only for the IT department and senior management. This level of restriction has an impact on the pace of innovation.

As digital transformation has spread through organisations in recent years, innovation also needs to be dispersed if it is to be effective. While the involvement of senior management and IT departments are important, the best ideas for deployment do not come through a top- down hierarchy.

More flexible approaches to innovation are needed in the mining sector where those working on the frontline can work hand in glove with specialists developing IIoT solutions.

Historically, the mining sector has not been known for this level of flexibility in the way that it manages change. However, growing competitive challenges in the market are now forcing new cultural behaviour to more flexible approaches to innovation.

IT leaders need to quickly improve their data analytics functionality to enable better use of the wealth of data that is being created by their IoT initiatives

68%

expect to use IIoT-generated data to improve health and safety

When asked what is holding back the sharing and use of data half said that they do not have the skills to extract and use data, 42 per cent said data was being stored in unusable formats, and 35 per cent said that there was just so much data that they were overwhelmed in being able to understand and use it.

So, as well as needing to be more flexible and open in how data is used and shared, IT leaders need to quickly improve their data analytics functionality to enable better use of the wealth of data that is being created.

WHAT CHALLENGES DOES YOUR ORGANISATION FACE IN USING IIOT DATA? (%)

We lack the skills to use data
Security/privacy concerns
Data availability lag
Access to data is restricted
Data is stored in unusable formats
The volume of data is too large

WHAT CHALLENGES DOES YOUR ORGANISATION FACE IN USING IIOT DATA? (%)

We lack the skills to use data
Security/privacy concerns
Data availability lag
Access to data is restricted

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Data is stored in unusable formats

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The volume of data is too large

FOR MORE INFORMATION ON THE RESEARCH, DOWNLOAD THE REPORT - INDUSTRIAL IOT ON LAND AND AT SEA: MINING

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