As better systems and tools are becoming available, more and more companies are exploring the possibilities of big data analytics.
Never before did we gather so much data and never before were we able to manage such big amounts of information.
This offers new opportunities for every industry, but so far mainly sectors like telecom and financial services are taking the lead and adopting the technology.
According to Dresner Advisory Services’ 2017 Big Data Analytics Market Study, adoption reached 53% in 2017 up from 17% in 2015, with telecom and financial services leading early adopters.
However, many manufacturing companies in for example Oil & Gas, Energy and Chemical industries still have little or no experience with big data analytics.
This while improved predictive maintenance is seen as one of the top 3 advantages and companies with continuous production and critical assets could be benefiting a lot.
As the technology is still young and evolving rapidly and most companies only just started exploring the opportunities, we believe the best approach is to start with specific, well-defined projects. We are convinced that you can only capture and optimise a complete process if you first understand the behaviour and condition of the key assets.
That’s why Performance for Assets focusses on machine learning and help you get more value from your machine data and turn it into actionable intelligence. Follow below link for some examples of projects we have realized for industrial customers:
That’s why Performance for Assets focusses on machine learning and help you get more value from your machine data and turn it into actionable intelligence. Follow below link for some examples of projects we have realized for industrial customers:
Have a look at our case studies: https://performanceforassets.com/projects-industry/
Do your assets need a performance boost too? Performance for Assets can perform a flash analysis on your key assets to define the gaps, opportunities and potential ROI.
Contact us for more information or a meeting with one of our engineers! Call +32 (0) 81 71 99 82 or send us a message via the contact page.
Read the complete article on Forbes’ website.