Industrial analytics trends
- 22-5-2017
- Edwin van Dijk
Discover 3 key developments in the industrial analytics market that are driving success, and how to leverage them today.
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Based on pattern recognition algorithms, patent pending TrendMiner Search empowers the process expert user to find historical trends without the need of a special skill data scientist or big data infrastructure.
Billions of data points over thousands of sensors, but you are still flying blind without time and location specific context. Capturing and sharing important knowledge is key to the succes of process behaviour analysis.
It's a given that things that occur once, will likely occur again somewhere in the future. The best way to increase the efficiency and safety on a production plant is by predicting abnormal behaviour based on live data.
Discover 3 key developments in the industrial analytics market that are driving success, and how to leverage them today.
Read moreApril 25, 2017
Total has confirmed they are rolling out TrendMiner software within their refining and petrochemicals operations. TrendMiner predictive analytics software was […]
Read moreJune 6, 2017
Capula, an independent system integrator, becomes the latest partner to join the TrendMiner ecosystem. The partnership will deliver local support […]
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ARC believes the TrendMiner solution will be welcomed by the process industries. At a time when owner operators are cost-contrained, dealing with erosion of knowledge and talent and looking for better ways to cost effectively get value out of the data that is already generated at the plant.
Peter Reynolds, Analyst - ARC Advisory Group
DOWNLOAD PAPER We don’t believe that legacy Data Historians implementations will be ripped and replaced. Rather, as Next-Gen Big Data Analytics and Platforms come to market, the large majority of new implementations will be next to and on-top of the legacy systems. TrendMiner, perhaps earlier than anyone, saw this coming transformation.
Matthew Littlefield, Principal Analyst - LNS Research
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