Hazard Identification
Nordic Region
Challenges in managing Hazard Identification and Risk Assessment
Manufacture
In the construction industry, ensuring workplace safety is paramount. A leading Nordic construction company faced challenges in managing Hazard Identification and Risk Assessment (HIRA) data across multiple sites. The data was dispersed across numerous Excel spreadsheets, leading to difficulties in navigation and effective analysis.
The company struggled with fragmented HIRA data stored in various spreadsheets, hindering efficient data analysis and risk assessment.
By leveraging the Databricks Lakehouse Platform, the company developed a robust methodology to gather, consolidate, and transform HIRA data from numerous spreadsheets, ensuring seamless analytics and improved decision-making capabilities. This unified approach enabled real-time data processing and analysis, enhancing the accuracy and efficiency of risk assessments.
Calibrating risk scores became a formidable challenge due to the dispersion of data across multiple sites, complicating the process of risk assessments. Furthermore, the lack of strategic allocation of capital expenditure investments for hazard control eroded confidence in decision-making processes.
The implementation of Databricks led to significant improvements:
Moreover, the company benefited from implementing mitigation actions gleaned from other plants, fostering a culture of continuous improvement throughout the organization. The enhanced capability to search for data within individual factories and across multiple facilities not only bolstered efficiency but also promoted collaboration among teams.
By integrating Databricks into their operations, the company transformed its HIRA processes, leading to a safer and more efficient working environment.
Logistics Case Study: Transitioning from Legacy Systems to Databricks Lakehouse Architecture