Big Data Analytics has a tremendous value potential for many industries. But, surprisingly, in the process and manufacturing industry little of this data is being transformed into actionable information. Surprising since the Industrial Internet of Things (IIoT) is not an entirely new concept, just a new term. Process plants have machine generated data from thousands of sensors being captured, sometimes for several decades.
An important reason for this missed opportunity is that Big Data Analytics solutions often require complex IT projects and data scientists to build and maintain models. If we truly want an Industry 4.0, we are going to need a new approach. TrendMiner has been built from the ground up for the average historian user without the need of expensive engineering projects and tackling the data modeling dilemma.