Seeq Announces Amazon Web Services Data Integration Solution to Accelerate Industrial Analytics

Seeq launches AWS Glue integration solution for process manufacturers to easily access and migrate their process data to AWS, and adds SOC2 Type 1 certification.

Seeq Corporation, a leader in manufacturing and Industrial Internet of Things (IIoT) advanced analytics software, today 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, simplifies industrial data discovery and migration to the AWS cloud using Seeq’s proven historian data access architecture.

Seeq also announced the completion of its SOC2 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 enables engineers and scientists in process manufacturing organizations to rapidly analyze, predict, collaborate, and share insights to improve production and business outcomes. Seeq customers include companies in the oil and gas, pharmaceutical, chemical, energy, mining, food and beverage, and other process industries.

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. The integration of Seeq and AWS Glue creates a secure and virtualized 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), AspenTech IP21—along with other data historians.

“Timely, ad hoc access to operational data is essential to advancing Industry 4.0 use cases through centralized data science and machine learning efforts, yet providing this functionality continues to vex many organizations,” says Jonathan Lang, 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 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,” says Megan Buntain, Director of Cloud Partnerships at Seeq. “By choosing Seeq SaaS to democratize innovations in big data, machine learning, and computer science, industrial organizations can easily access new capabilities to improve production and business success.”

In addition to Seeq integration with AWS, Seeq connects to an extensive set of data storage platforms from vendors including OSIsoft, Siemens, GE, Honeywell, Inductive Automation, AVEVA, AspenTech, Yokogawa, InfluxDB, Snowflake, and others.

Seeq is available worldwide through a global partner network of system integrators, which provides training and resale support for Seeq in over 40 countries, in addition to its direct sales organization in North America and Europe.

To learn more about Seeq visit seeq.com

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