ABOUT SEEQ CORPORATION
Seeq® is an advanced analytics solution for process manufacturing data that enables organizations to rapidly investigate and share insights from data in historians, IIoT platforms, and database web services—as well as contextual data in manufacturing and business systems. Seeq’s extensive support for time series data and its inherent challenges enables organizations to derive more value from data already collected by accelerating analytics, publishing, and decision making. With diagnostic, monitoring, and predictive analytics powered by innovations in big data and machine learning technologies, Seeq’s advanced analytics solutions help organizations turn data into insights to drive process improvement and increase profitability.
Seeq Wins Control Engineering 2020 Engineers’ Choice Award In Data Analytics Category
Seeq Corporation is pleased to announce it is the winner of the Advanced Analytics for Process Manufacturing Data category award for Control Engineering 2020 Engineers’ Choice Awards program.
Advanced Analytics And Situational Awareness For Manufacturing Data
Advanced analytics is a key innovation for digital transformation. While many industrial companies are rolling out pilots and enterprise analytics projects, it is important for users to understand the features and capabilities of the analytics offerings.
Seeq Announces Availability Of R22 And Beta Release Of Seeq Data Lab At ARC Industry Forum
Seeq Corporation, a leader in manufacturing and Industrial Internet of Things (IIoT) advanced analytics software, announces availability of their latest release, R22, and beta availability of Seeq Data Lab, at the ARC Industry Forum 2020.
Seeq Corporation Announces AWS Industrial Software Competency Achievement
Seeq Corporation, advanced analytics applications for process manufacturing data, announced today it has achieved Amazon Web Services (AWS) Industrial Software Competency status.
Water Treatment Filter Monitoring
A municipal water utility follows a straightforward method for providing clean water to its residents: It pulls water out of a nearby river, filters out the impurities, and then funnels the water into a reservoir to be ready when residents turn on their taps. The water provider needed to improve sand filter consistency and boost performance of its overall fleet of filters in its water treatment plant. To do this, it needed to identify and monitor for poor filter performance while prioritizing filter maintenance.
Seeq And Amitec To Sponsor Ignite Conference
Amitec, a leading system integrator in Norway, and Seeq, a provider of advanced analytics solutions, will jointly exhibit at the Ignite conference on June 12-13 in Oslo.
Knowledge Transfer For Water’s Better Informed Future
Water industry managers are caught in a squeeze. On one hand, they need to capture institutional knowledge from long-term baby boomer employees before they retire. At the same time, they need to manage current operations optimally and attract and train next-generation replacements. Here is how advanced analytics solutions are making it easier to achieve all those goals while improving business outcomes.
How To Leverage Water Data To 'Make Your Case'
Efficiently managing potable water treatment and distribution or wastewater collection and treatment involves many moving components, not the least of which are cost implications. If only there was a way to quantify and analyze those factors to leverage them for better decision-making. There are, and they reach far beyond tactical treatment plant adjustments, all the way up to strategic decisions as well.
Find More Insight In Your Deluge Of Water Data
With the proliferation of new sensors and Industrial Internet of Things (IIoT) initiatives now feeding SCADA systems, water industry managers lament how they are drowning in a sea of data yet starving for insights that really matter. With concepts like data democratization starting to bear fruit, advanced analytical capabilities are creating new opportunities for water insights without requiring a degree in computer science.
Gas Processing Data Analysis From Afar
Unmanned well sites in remote locations present operational challenges. Data must not only be collected, but it also must be monitored to uncover any discrepancies, and ideally predict any problems before they occur. Advanced analytics software, coupled with a sophisticated data collection system, can address these issues, and also provide additional benefits.
Adding Value With Analytics
The oil and gas industry, like many others, is collecting and storing ever larger volumes of data. Although, there is value in this data, it is often difficult to unearth using conventional analysis tolls such as spreadsheets. To address this issue, new data analytics software platforms are being introduced specifically to deal with time-series data.
5 Questions To Ask Before Selecting A Process Data Analytics Solution
The data generation and collection strategies at the center of manufacturing processes have evolved dramatically, especially in recent years. Process manufacturers now collect and store huge volumes of data throughout their operations, both on and off premise, across multiple geographic locations, in an increasing number of separate data silos. In this paper, we propose five questions we believe every process manufacturing buyer should ask when evaluating a data analytics solution.
Leveraging Predictive Analytics: A Case Study
Often the first notification of a spill comes from a member of the public, hours and sometimes days after the first spill. This can intensify public health and environmental impacts and the cost of clean-up efforts. Following a sewer spill at an environmentally significant site at Midway Point in August 2017, TasWater sought a way to reduce the likelihood and impact of spill events occurring in the future.
Devon Energy Uses Real-Time Data And Advanced Analytics To Make Better Decisions
Like many other energy companies, Devon Energy, a leading independent oil and natural gas exploration and production company in North America, generates huge volumes of data. The company’s SCADA system monitors 6.5 million data points from multiple sites, with more than 10,000 updates per second.
Optimize Process Unit Results With Advanced Analytics For Condition-Based Monitoring
Businesses rely on process units meeting or exceeding their operational plans. To ensure that operational plans are achieved, it is important that equipment operates as designed (i.e., delivers the required performance) and continues to operate in an optimum manner (i.e., remains reliable, in a good condition). The most common causes of missing operational plan targets are equipment failure, which results in unplanned downtime, and low quality or yields from production processes.
Industrial IoT-Enabled Remote Monitoring Improves OEM Service Performance
The prime reason most industrial plants still have internal, on-site maintenance staffs is to reduce repair times and unplanned downtime, which negatively impact revenue, customer satisfaction, cost, and other key business metrics. In most plants today, contracting with the equipment manufacturer for maintenance usually results in unacceptably long periods of downtime for critical equipment while waiting for a technician to arrive – particularly with the typical two passes required for inspection and repair.
Leveraging IIoT Technologies To Reduce Unplanned Downtime
At ARC Advisory Group’s 20th Annual Industry Forum in Orlando, Florida, Shawn Anderson, Senior Research Specialist for Fisher Valves, a division of Emerson Process Management, gave a presentation on how the company is leveraging the Industrial Internet of Things (IIoT) to help end users reduce valve-related unplanned downtime.
Seeq To Sponsor CSIA Executive Conference
Seeq will join more than 500 control system integrators from around the globe on April 24-27 in San Francisco for the Control System Integrators Association (CSIA) Executive Conference.