Process Manufacturing Advanced Analytics

Seeq to Exhibit R21 at Connected Plant Conference Booth 306 from February 19-21, 2019

Seeq Corporation will demonstrate their latest release, R21, at the Connected Plant Conference in Charlotte, NC. This advanced analytics solution for process manufacturing enables engineers and scientists in process manufacturing organizations to analyze, predict, collaborate, and share insights to improve production outcomes. Customers include companies in the chemical, refining, power, oil & gas, pharmaceutical, mining, food and beverage, and other process industries.process manufacturing

“The rapid pace of Seeq innovation is leading to bigger customer engagements and even faster insights and impact from production data,” says Steve Sliwa, CEO and Co-founder of Seeq Corporation. “We are growing the organization quickly to keep up with customer needs in training, use case development, and core feature development.”

New R21 features reflect both the growing use of Seeq for publishing analytics-based views to other employees, and the increased complexity of the use cases where engineers use Seeq. For publishing insights, the company has expanded “scorecards,” a feature for the display of calculated tables in Seeq Workbench and Organizer. Scorecards are used for tabulated metrics, measurements, and other summary data, and may be presented in tables with conditional formatting support and user-defined columns (e.g., roll-ups by batch or plant).

In addition to new scorecard and other features, R21 also adds frequency analysis capabilities, often referred to as “FFT,” to transform segments of a time-series signal into the frequency domain. Users access the frequency analysis tool via an intuitive panel which guides them through the transformation process and displays results as a power spectrum, or they can access FFT functionality as a formula in Seeq’s scripting environment.

R21 expands the company’s recent focus on enabling larger deployments through scalability features and making the applications easier to use. R20 features, released earlier this year, include the ability to have live updates to Seeq Topics, which publish insights from Seeq to other users; expanded machine learning functionality for customers doing predictive analytics with Seeq; and an improved query model for customers accessing contextual data from SQL-based data sources to provide faster connections to big data sources.

“Seeq continues to release compelling analytics solutions for customers in process manufacturing and Industry 4.0 engagements,” says Janice Abel, Principal Analyst at ARC Advisory Group. “The need for faster and better insights is a consistent requirement for customers investing in IIoT and Smart Manufacturing.”

Seeq partners with many leading process automation firms, including OSIsoft, Emerson Automation Solutions, Inductive Automation, Honeywell, and Schneider Electric. The company also supports leading data historians, making it a widely accessible and extensively used advanced analytics solution in process manufacturing companies. Supported historians include the OSIsoft PI System, GE Proficy, AspenTech InfoPlus (IP) 21, Emerson DeltaV Continuous Historian and Ovation DCS Historian, Honeywell Uniformance PHD Historian, Rockwell Automation FactoryTalk Historian, Inductive Automation’s Ignition Historian, DataParc Historian, Aveva’s WonderWare Historian, Citec SCADA, and eDNA Historian—with others in development.

The Connected Plant Conference will be held at the Sheraton Charlotte Hotel in Charlotte, NC from February 19-21, 2019. Seeq will be exhibiting at booth 306 and is sponsoring Block # 6—Industrial Analytics in the Interactive Digital Showcase. The company also has a speaking slot in the Chemical Engineering track on Wednesday 2/20 from 2:30-3:30pm, addressing the topic of “Improved Process Manufacturing Results with Advanced Analytics” with a presentation from Seeq Analytics Engineer, Julianne Wagoner.

The “Harnessing Digital Tools to Drive Success” conference theme aligns with Seeq’s vision for accelerating insights on process manufacturing data.