Seeq Releases R18, Azure Support

Wednesday, August 16, 2017 @ 03:08 PM gHale


Publishing and cloud platform support for process insights allows for greater visual analytics for IIoT and process manufacturing data.

Seeq Corporation released its latest version, Seeq R18, with its new ease-of-use features, additional flexibility in the way items are displayed in its trending interface, and a new Organizer feature to assemble the results of investigations and analytics on time series data into dynamic documents for reports and dashboards.

This is the 7th release of Seeq software in just the past 18 months, driven by input from users.

Seeq is a visual analytics application for engineers and scientists in process manufacturing organizations to investigate and share insights on production data.

Target markets include oil & gas, pharmaceutical, chemical, energy, mining, food and beverage, and other process industries. 

With R18, Seeq also unveiled support for the Microsoft Azure cloud platform, with availability on the AppSource marketplace.

“We are very happy to welcome Seeq and its innovative solution for process manufacturing analytics to Microsoft Azure,” said Vasily Mlanin, senior program manager, Commercial Software Engineering at Microsoft. “Seeq will be a valuable compliment to the investment of Azure customers in IoT Hub and other Azure-based services.”

“We are excited to expand Seeq to the Azure cloud to support IIoT and data aggregation scenarios for our customers,” said Steve Sliwa, chief executive and co-founder of Seeq Corporation. “The combination of investigation and publishing features, for on-premise and cloud deployments, is the next step in our effort to redefine the creation of actionable intelligence from process data.”

The Seeq Organizer module builds on the investigation and analytics in Workbench, enabling visualizations from any worksheet to insert into a document dynamically generated for any time range and/or operating condition.

These documents can serve as the basis for weekly/monthly reports, daily standup meetings, operating period comparisons, batch summaries, incident analyses, and many other scenarios. Insights from process engineers can be quickly accessed via these documents by operators, analysts, managers, and other plant employees.



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