EXPERT WEBINAR:

Advanced Analytics for Sustainability

Thursday, January 28

11:00 AM ET | 4:00 PM GMT

Webinar Overview

Join Seeq for an online introduction to the use of advanced data analytics for sustainability.

This webinar will demonstrate how Seeq enables process manufacturing organizations to improve production outcomes while achieving their sustainability goals. You’ll walk away from this webinar knowing exactly how to make good on your sustainability commitments by leveraging data cleansing, contextualization, calculations, and data modeling to take control of your operations.

Eliminate spreadsheets to improve asset utilization monitoring. Get near-real-time insight into your data and reduce downtime.

Gain insights into data to know where improvements need to be made allowing you to scale operations quicker.

Reduce impact of operational problems through faster identification of issues, resulting in quicker response times.

Topics of discussion:

Best practices for sustainable development using advanced analytics

Integrating your sustainability goals into every step of your operation

Leveraging advanced analytics to gain a clear understanding of your environmental impact

Using advanced analytics to drive key sustainability goals in a variety of process manufacturing industries

SAVE MY SPOT

Seeq-Control Engineering 2020 Engineers Choice Award press release image

Seeq Advanced Analytics Software:

QUICKLY ELIMINATE DISPARATE DATA

Easily integrate data from multiple historians as well as relational data from SQL Server, Oracle, and MySQL. Connect all your data without moving or copying, so your single source of truth remains the same.

EASY INSTALL, BUILT FOR SCALE

Install in a matter of minutes, on-premise, in the cloud, or accessed as a SaaS application. Security, manageability, and scalability to adapt with your organization’s growth and usage.

DESIGNED FOR COLLABORATION

Collaboratively investigate alarms, generate reports, and optimize production outcomes. Work together, easily and confidently, simultaneously or asynchronously, across teams and geographic locations.