DATA INSIGHT
ON-DEMAND WEBINAR
Improving Environmental Monitoring: Turning Complex Data into Clear, Reliable Insights
Environmental monitoring is essential to quickly detect potential contamination in production sites, ensuring safe and compliant production processes. When this fails, the resulting shutdowns, product recalls, and poor publicity can all significantly impact a business, creating more stress and more work for production teams.
Juggling data from environmental monitoring can be hard, with a mix of scattered paper-based records and spreadsheets making it hard to collate, organize, and understand the monitoring processes that are in place. Making sense of complex, multivariate environmental data – often collected over time, in numerous locations, and using a variety of methods – is critical for ensuring compliance, protecting assets, and enabling confident decision making.
Analytical tools provide a powerful, interactive environment for importing, exploring, and analyzing environmental monitoring data. By simplifying their workflows, teams can detect trends, identify anomalies, understand sources of variation, and respond proactively to emerging risks.
Having the right tools for environmental monitoring means faster insight into what is changing, why it is changing, and whether action is required – all without complex coding. For scientists, engineers, and environmental professionals, it translates into clearer communication, more defensible decisions, and greater confidence in monitoring strategies.
Key takeaways
- How to explore and visualize environmental monitoring data to detect trends, shifts, and anomalies.
- How to manage complex data sets more easily.
- How to gain timely, defensible insights from complex environmental data that supports compliance and risk management.
Join this on-demand webinar to learn how data analytics can support effective environmental monitoring and help your organization move from data collection to insight and action.
About the presenter
Ben Barroso-Ingham
Ben Barroso-Ingham is a Systems Engineer at JMP. Previously, he has held roles as a Fermentation/Upstream Scientist at Elanco Animal Health and Allergan Biologics, focusing on developing small-scale microbial fermentation models and the application of design of experiments.
He has a Ph.D. in chemical engineering from the University of Manchester, where he focused on the use of DOE in fermentation optimization and analytical method development.