Turning unreliable HSE data into decision-grade insight in a global utility
A global utility company improved safety decision-making by addressing unreliable and inconsistent HSE data using dss+360 the AI-enabled digital platform.
A global utility company seeking to improve safety performance by addressing unreliable and inconsistent HSE data.
The challenge
The organisation relied on HSE data to guide safety and environmental decisions, yet the data itself was unreliable. Reporting was inconsistent, key fields were missing, and data was not standardised across sources. As a result, leadership lacked clear visibility into risk exposure and struggled to distinguish between minor issues and high-consequence risks.
Gaps emerged between reported data and actual conditions in the field. Without trusted, high-quality data, the organisation was unable to generate actionable insights or confidently prioritise safety interventions.
The approach
dss+ deployed the dss+360 digital platform to improve data quality and enable more reliable, real-time decision-making. Using AI-enabled data processing, the platform cleaned and structured raw HSE data, significantly reducing the noise-to-risk ratio and improving the accuracy of insights.
Data-driven findings were combined with in-field coaching and observations, allowing discrepancies between reported and actual risks to be identified and validated. In parallel, the platform assessed the effectiveness of safety controls, providing a clearer view of risk exposure across operations.
This integration of digital analysis and operational insight transformed data from a passive reporting tool into a reliable foundation for proactive risk management.
Impact on the ground
The inflection point
“Data only creates value when it can be trusted. By improving data quality and combining it with operational insight, organisations can move from reporting issues to actively managing risk.”
- David Pereira, Managing Director, Digital, dss+