Process Industry Professionals:
What is your tolerance for bad data quality & poor information?
Whether it is called “Industry 4.0”, “Edge Computing”, “Big Data” or “IOT”, the tolerance of People, Applications, and Business Processes to poor data quality in industrial plants is diminishing rapidly. The Modern process industries thrive on readily usable information and credible data to deliver sustainable tangible business results.
Until recently, Data Qualit was relegated to Data Validation and Data Reconciliation projects supporting certain specific functions such as production and yield accounting, mostly in hydrocarbon process industries.
It is time to embrace Data Quality by implementing a strategy that will result in a trustable industrial plant dataset.
The targeted outcomes are clear:
- There are three classes of data users we must satisfy: People, Software Applications (downstream from sensors), and Operational & Business Processes
- Industrial plants are continuously generating different types of data (for instance, streams, events, and transactions.) which must be assembled into a coherent, accurate, credible, functional, and usable dataset suitable for all classes of data users. We call it the “Industrial Plant Dataset”
- To connect the data users with the “Industrial Plant Dataset” in a reliable, sustainable way in order to move operations and business forward and redirect when necessary.
The strategy of Pimsoft is based on implementing Sigmafine, a robust system of checks and balances. Using conservation principles, statistics, engineering standards, and calculations to monitor and assemble Industrial Plant data, Sigmafine generates a coherent, trustable, and usable dataset ready for business.
We implement Sigmafine as an adaptive Enterprise Information Service (EIS), which can evolve with data users' business and operational needs. Ensuring Data Quality is no longer a task or function relegated to the desk of a statistician, a production accountant, or a point solution. Instead, it is an enterprise service that runs autonomously, that spans the value chain of the industrial plant, and which is accessible to all data users.