Welcome to the Resources section of our website. Here you can find access to presentations from our customers, partners, and Sigmafine specialists, and collateral pertaining to Sigmafine. You can use the filters provided to sort content and and quickly access content that is more relevant to you.
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You can still download from our publicly available collateral without an account, but you will be presented with more content with your Sigmafine Member account, than what is provided publicly.
Hear all about how Aveva, Pimsoft, and Contac Ingenieros have been working on an integrated solution capable of handling Inventory Management, Production Accounting, and Data Reconciliation, providing a solid framework for the performance of best practices employed to identify accurately operational information required to make valuable decisions.
Minimize Material Imbalance and improve Data Quality with software-based Reconciliation and Measurement Audits
Join our technology experts as they present how to achieve significant improvement in material imbalances thorough the use of high edge technology for data reconciliation and measurement audits.
The Digital Asset: The Foundation for “Analytics”, Digital Transformation, OpEx, and Decarbonization
Learn about digital assets and their role in best practices in accelerating the journey through data, information, and intelligence, while enabling businesses for advanced analytics, digital transformation, operational excellence, and decarbonization strategies & programs.
Hear how using the PI System as a data infrastructure allows you to combine data from disparate sources to help bring context for analysis and reporting, and empowers people to leverage data to generate actionable information through best practices, to provide continuous improvement.
This presentation 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. It will also cover advanced analytics, including machine learning and data reconciliation with illustrative use cases.
Sigmafine requires regular maintenance in order to analyze and reconcile data, support operational decisions, and perform optimally. This presentation provides insights and practical recommendations to help Sigmafine users improve their systems, hardware, modeling, and processes.