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SigmafineHub: A Digital Asset Factory for the enterprise

Download Now! SigmafineHub: A Digital Asset Factory for the enterprise For over 25 years, Sigmafine systems have been reliably delivering reconciled data to users, applications, and business processes across multiple verticals in the process industries. In today’s terms, the purpose of Sigmafine is to “Transform raw data and signals into digital assets” to support and …

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Using Sigmafine to facilitate communication and drive data-informed decisions across the organization

At the Billings refinery, Sigmafine is used to facilitate communication and drive data-informed decisions across the organization.   Accounting for timely and accurate inventory and production numbers involves taking disparate Data inputs from multiple sources and departments.  This information then needs to be conditioned in a manner that can provide a meaningful and accurate dataset to the data consumers.  The information needs to be timely, accurate, verifiable, and consistent with P66 business processes.  This presentation will discuss how Sigmafine is used to achieve this and the benefits derived.

Industrial IoT time-series data engineering – a layered approach to data quality

We will review the basic validation checks for missing data (I/O timeout), flat-line data (sensor malfunction), out-of-range data etc., and issues in source instrumentation/control system, network connectivity, faulty data collection configuration (scan rate, unit-of-measure, exception/compression specs) etc.  We will also cover advanced analytics, including machine learning and data reconciliation with illustrative use cases.

Transforming data into digital assets

In 2020, “Digital Transformation” and advanced manufacturing strategies like industry 4.0 are top of mind for everyone in the process industries. It is transforming how we look at plant operations. It is impacting how we work and collaborate. It creates demand for new skills in data engineering and data science. It calls for new sensors, edge data processing and better data management practices. It is changing how business processes are designed and run. It is causing changes in information systems across the value chain of the enterprise. The ripple effects of Digital Transformation have just begun.

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