Team Chemistry At The Core of Empirisys Data Insight Success

The story so far…

In recent years, one of the top global chemical companies had made great strides in their process safety. By 2021 however, they noticed that performance had begun to plateau. Following a fatal accident at a facility in Texas, they decided external expertise was required to address legacy safety and process issues.

The number one pain point was that they needed specialist help to successfully interrogate and exploit their full datasets, thereby uncovering the insights they needed.

The goals were clear. The management team wanted to establish a leading indicator that would help them keep on the front foot and instigate preventative actions.

To progress, they needed specialists who could reality get into the data and inform a bespoke set of Process Safety Performance Indicators.

The Empirisys Way

By using different data science specialties, including data engineering, statistical analysis and machine learning models, Empirisys was able to mine invaluable insight from the huge disparate data repositories.

The result? The company’s new CEO is pushing ahead with an end-to-end digital transformation across the organisation, with particular focus on HP and Process Safety.

Teaming Up

From day one, Empirisys and the client established a one team mentality, which made the project run smoothly and successfully, even when working remotely.

By getting the combination of engineering science (PS capability) and data science right, Empirisys could communicate with domain engineering experts with a level of expertise that demonstrated understanding and built credibility.

Making The Difference

The key differentiator was Empirisys’ ability to apply advanced analytics to a very large dataset and make sense of the intelligence gained. By demonstrating the relationship between overdue work orders and Process Safety events by functional location, Empirisys gave the team a useful, tangible tool they could instantly integrate.