Customer Case Studies

Across industries, engineering decisions are too often made based on subjective judgments. Considering how inexpensive and easy modern automation makes it to generate and collect massive amounts of process data, the propensity to make decisions by gut feel may seem far-fetched to a bystander.

Watching this webinar will provide a clear understanding of how Uniper has used Seeq in collaboration with physics-based thermodynamic modeling, automatic alerting, and knowledge management to save money.

DRIP – Data Rich, Information Poor – definisce la realtà di molte aziende manifatturiere di processo che non hanno il tempo o le soluzioni per trovare informazioni nei loro dati, volendo migliorare la disponibilità degli impianti, i rendimenti, la qualità e i risultati di produzione.

Devon Energy recognized massive lost opportunities when it came to analyzing process data at their operation. Using Seeq, they applied advanced analytics to use cases such as Well Productivity Index, Lockout Pressure Optimization, and ESP Monitoring. 

In your experience, you’re probably familiar with the process of using historians for collecting, storing, and viewing process data; which means that you’re probably also familiar with the fact that this is simply not enough in today's competitive environment. Process data needs to be taken farther.

Hear from customer speaker and industry expert, CHR Hansen, as they share how advanced analytics has helped turn data into insights to deliver continuous improvements in quality, yield, and asset availability metrics in this webinar.

Join Seeq and Nukon to learn how you can accelerate productivity, empower your engineers, and improve efficiencies in your business. During our virtual seminar, you will hear from Seeq customers on how they have utilized advanced analytics to improve their operations' outcomes.

At the Virtual Water Expo in April 2021, Brown & Caldwell presented on how Seeq's advanced analytics lead the water and wastewater industry to improved performance outcomes despite challenges including aging assets, budget limitations, stricter regulation, knowledge transfer needs, and cybersecurity. 

Covestro is leading in many aspects of Industry 4.0 in chemical manufacturing. Watch this webinar for an overview of how they are tackling the complexity of Big Data and working to make their solutions sustainable. This webinar also showcases a production optimization solution utilizing Seeq which will increase on spec product and throughput.

Abhi Hullatti of Duke Energy presentation at ARC Advisory Group's Driving Digital Transformation in Industry and Cities Forum, Orlando, Feb 5 2020. Watch this video to lear about the higher-level data solutions that have been introduced to the market that are designed for both IT and OT users. 

Access to insights and the number of empowered engineers in the plant have grown exponentially as OSIsoft PI System data has become even more valuable. The video demonstrates the implementation of the OSIsoft PI System and Seeq in Lonza to deliver an advanced analytics solution in the organization.

Covestro recently launched a digitization initiative called ProDAVis, standing for Process Data Analysis and Visualization. This technology, used with an OSIsoft PI platform and Seeq, gives them the power of advanced analytics when it comes to process monitoring.

Presented October 13, 2020 at GridFWD 2020. Featuring Jessica Blackburn, Senior Software Developer, Chelan PUD ; Natalie Baerlocher, Senior Hydro Data Analyst, Chelan PUD ; and Peter Vanney, Data Analyst, Chelan PUD

Pharmaceutical organizations can capture and analyze the data they need to develop tangible solutions and a clear direction in all phases of product development. Through the effective analysis enabled by utilizing Seeq with PI, Merck increased their knowledge of the process and product leading to high quality and robust development and control strategies.

In this presentation, Abbott Nutrition explains how they created asset availability and product utilization metrics and deployed these metrics throughout their organization. These new calculations were made possible through advanced data contextualization.

In an effort to prevent sewer spills in Tasmania, TasWater sought out approaches to reduce the likelihood and impact of these events occurring in the future. One of the approaches investigated was to leverage live and historical data to provide an online monitoring tool to detect these events ahead of current detection methods.

ARC Advisory Group is the leading technology research and advisory firm for industry, infrastructure and cities. Our coverage of technology and trends extends from business systems to product and asset lifecycle management, Industrial IoT, Industry 4.0, supply chain management, operations management, energy optimization and automation systems. Our analysts and consultants have the industry knowledge and the first-hand experience to help find the best answers to the complex business issues facing organizations today..

Deciding to rollout analytics is perhaps the easiest part of the deployment process. Once the organization has determined what tool(s) and method(s) to use, a host of issues and questions must be defined, considered, and addressed. These issues run the gamut, from well-known but complex-to-solve considerations about technology governance and data management to deeply entrenched and often well-hidden cultural barriers impacting adoption and scale.

ARC Advisory Group is the leading technology research and advisory firm for industry, infrastructure and cities. Our coverage of technology and trends extends from business systems to product and asset lifecycle management, Industrial IoT, Industry 4.0, supply chain management, operations management, energy optimization and automation systems. Our analysts and consultants have the industry knowledge and the first-hand experience to help find the best answers to the complex business issues facing organizations today.

Devon Energy shares efforts in advanced analytics to cut through the changing conditions in a plant by leveraging historical data to get a clear picture of underlying asset performance and thus improve asset availability, maintenance costs, and plant profitability.

As soon as information about a building is readily available and consumable with various client applications, topics like energy saving, building usage optimization etc. can be easily tackled. PI is the foundation layer for all these topics in our environment, and we can both get fast access to all kinds of data thanks to the multitude of interfaces and connectors available, as well get a metadata structure implemented in PI AF - in some cases even automatically.