Seeq announces AWS data integration solution to accelerate analytics

Seeq Corporation

Friday, 30 April, 2021


Seeq announces AWS data integration solution to accelerate analytics

Seeq Corporation has announced a new offering on Amazon Web Services (AWS) to accelerate access to manufacturing data for enabling AWS analytics on industrial data. The Seeq AWS Glue integration for Enterprise Historians, available on AWS Marketplace, is said to simplify industrial data discovery and migration to the AWS cloud using Seeq’s historian data access architecture.

Seeq also announced the completion of its SOC 2 Type 1 certification. SOC 2 compliance is a critical consideration for companies evaluating SaaS applications to ensure vendors have the appropriate controls to protect data handled on their systems.

Seeq’s products are designed to enable engineers and scientists in process manufacturing organisations to analyse, predict, collaborate and share insights to improve production and business outcomes. Seeq’s existing customers include companies in the oil and gas, pharmaceutical, chemical, energy, mining, food and beverage, and other process industries.

Amazon’s AWS Glue is a serverless data integration service that makes it easy to discover, prepare and combine data for analytics, machine learning and application development. Seeq says the integration of Seeq and AWS Glue creates a secure and virtualised connection to on-premise historian databases, manages data discoverability, and enables data science teams to access this data for machine learning in AWS. The result is simplified access to machine data, process data and contextual data stored in historian databases — including the OSIsoft PI system, OSIsoft PI Asset Framework (AF) and AspenTech IP21 — along with other data historians.

“Timely, ad hoc access to operational data is essential to advancing Industry 4.0 use cases through centralised data science and machine learning efforts, yet providing this functionality continues to vex many organisations,” said Jonathan Lang of IDC Research. “Solutions which rapidly liberate this data will accelerate and expand the insights and benefits of manufacturing data science initiatives.”

Seeq also announced the completion of a SOC 2 Type 1 attestation performed by Tevora, an independent accounting firm which conducts audits of company practices and procedures related to customer data security. SOC 2 compliance is an important consideration for companies evaluating SaaS applications to ensure vendors have the appropriate controls to protect data handled on their systems. This audit affirms that Seeq’s procedures, policies and operations meet the SOC 2 standards relative to Security Trust Services Principle and Criteria, including customer data protection, cybersecurity and software management.

“Analytics software for manufacturing customers is an area long overdue for innovation,” said Megan Buntain, Director of Cloud Partnerships at Seeq. “By choosing Seeq SaaS to democratise innovations in big data, machine learning and computer science, industrial organisations can easily access new capabilities to improve production and business success.”

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