Solution brief describing the use of Sigmafine in Oil & Gas Downstream Refining19 with emphasis on specific application for that industry.
Solution Brief: Sigmafine in the Refining Industry Read More »
Solution Brief: Sigmafine in the Liquified Natural Gas Industry
Solution Brief: Sigmafine in the Liquified Natural Gas Industry Read More »
Take a look into how Sigmafine can be applied in the Pharmaceutical industry to manage batch or semi-batch processes while doing material tracking, calculation of cost per batch and helping to calculate economic impact of waste.
Take a look into how Sigmafine can be applied in the Pharmaceutical industry to manage batch or semi-batch processes while doing material tracking, calculation of cost per batch and helping to calculate economic impact of waste.
The business case for improving Data Quality is blessed by a two-sided benefit model: downside avoidance & upside realization. Data Quality professionals have a rule which they call the “Rule of 10”: “It costs 10 times as much to complete a unit of work when the input data are defective as it does when they are perfect”.
Data Quality, a two-sided Benefit Model Read More »
See how Slovnaft implemeted Sigmafine to win the challenge of production acconting, data quality, and integration of data work flow from field up to the enterprise level.
Quick overview of the industry domains and specific applications that Pimsoft adresses with the use of Sigmafine.
This video is a short intro about Pimsoft and Sigmafine, what we do, our core industries and the value we deliver across enterprises in the process industries Oil & Gas, including LNG as well as LPG’s and NGL’s, Chemicals and Petrochemicals, Metals & Mining, Power Generation & Distribution and Utilities like water.
About Pimsoft and Sigmafine Read More »
Look at how Sigmafine Quality Tracking algorithm is applied at ENI Versalis aromatic plant.
Data Quality is an abstract concept until we are confronted with bad data or information which is not usable, not credible, not presented correctly, not accurate, etc.. Then Data Quality becomes a very concrete experience. While, there are many definitions for Data Quality, all of them converge to the same focal point. “fitness for use” by people, applications and business processes.
Defining Data Quality in the Process Industries Read More »
Pimsoft S.p.A.
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Phone: +39 011 5637744
Fax: +39 011 5637744
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