Juliana Fidalgo, Automation Engineer, Indorama Ventures – Indovinya

Indorama Ventures’ Indovinya shows how their business turned process variability into a more disciplined, data-driven operating model by bringing real-time analytics directly to the frontline. The presentation explains how the team identified critical variables, built statistical control and operational compliance measures in Seeq, and gave operators simple, visual dashboards that made shift-level performance visible, actionable, and consistent across the organization. It also highlights how dedicated control-room monitors, regular reviews, and leadership alignment helped move the site from reactive troubleshooting to proactive control, with measurable improvement in operational compliance and stronger day-to-day ownership of performance. More importantly, the talk shows that lasting value comes not just from monitoring processes more closely, but from embedding analytics into daily routines so that stability, accountability, and continuous improvement become part of how the site operates.

Conneqt 2024

Chris Herrera, Head of API & Interoperability

Seeq Tim Sandford, Refining Pl Coordinator, Marathon Petroleum

Rohan Tuli, Industrial Digital Transformation Engineer, Solvay

Cara Blankenbicker, Industrial Data Scientist, Syensqo

In the complex world of manufacturing, a process cannot be run optimally if people do not have access to relevant information when they need it. Information has historically been shared using a tapestry of solutions to generate dashboards for operators, monthly spreadsheets for stakeholders and ad-hoc analyses for engineers to troubleshoot processes. Today this can be streamlined into a coherent SEEQ dashboard solution, the product of an ongoing collaboration between site and corporate resources.

Albert Swalha, Staff OSI PI Engineer, Western Midstream

Western Midstream significantly streamlined regulatory reporting of Saltwater Disposal (SWD) wells by implementing a robust analytics solution using Seeq. Previously, regulatory reporting involved extensive manual Excel workbook preparations, which were labor-intensive and error-prone, consuming nearly 24 hours monthly. Using Seeq’s combined applications—Workbench, Data Lab, and Organizer—they automated data cleansing, analysis, and report generation, reducing monthly effort to only 1-2 hours. This scalable solution improves data accuracy, proactively highlights operational exceptions, and significantly reduces administrative burden, enabling analysts to focus on more strategic tasks.

Emily Cole, ​Sr. Scientist, Verdagy

Verdagy developed a scalable monitoring tool for lab- and pilot-scale electrolyzers that automatically identifies and aggregates polarization curve parameters and summarizes other KPIs such as hydrogen production rate and total uptime metrics. Verdagy successfully implemented the tool across their technical teams to enable rapid results-sharing while maintaining uniform data analysis methodologies. The targeted scope of Verdagy’s tool enables widespread adoption and requires no learning curve to use. ​