By Tushar Zope & Kevin Parker
The processes and workflows associated with process production and discrete manufacturing generate huge amounts of data. This data, which has accumulated over extended periods of time, retains value but mostly resides in legacy formats.
How can these data resources be made available for analysis, at a time when analytics, machine learning and artificial intelligence play an ever-increasing role?
Manual processing of data is cumbersome, susceptible to error and difficult to use in a cohesive manner. On the other hand, innovative, proven techniques are being applied to industrial data that delivers the sustenance needed to ensure that all that data delivers continuing value.
Better data availability and integration with data processing platforms enables speed and efficiency of analysis and evaluation. The need to enable integration has become an imperative.
While digital innovation remains key it is as important to focus on the sustenance of operational data. This data integration and accessibility project is core to the digital transformation of a wide range of production industries.