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Visualize and analyze Environmental, Health and Safety (EHS) metrics across locations to make smarter decisions.
Harness the Power of Analytics to Get Answers to Your Unanswered EHS Questions
ProcessMAP offers next-generation business intelligence and advanced analytics platform called “Insight Plus” that allows organizations to uncover insights hidden within the EHS data. With this robust analytics platform, you can
Easily identify EHS risks that might impact your business by leveraging out-of-the-box reports and dashboards.
Quickly create your own insightful dashboards to visualize your EHS performance without our support!
Assess the effectiveness of your EHS programs by discovering hidden patterns and trends.
Built-in machine-learning algorithms and statistical analyses allow you to forecast future EHS issues.
Sneak peek into some of the analytics that visionary EHS leaders look for, just like you, to proactively mitigate risks, drive compliance and uncover hidden opportunities to revitalize enterprise-wide EHS initiatives.
The big-picture of incident summary allows evaluating incidents that occurred over a period and help determine overall organizational safety performance.
The data-driven insights help to identify problem areas, conduct necessary training, properly evaluate PPE requirements, implement best practices, prevent recurrences of similar injuries, and mitigate near-time incidents.
Get actionable insights into audit details such as audit assessments, audit summary, corrective actions, etc., can help identify deficiencies and take swift actions to implement a robust risk mitigation strategy for the future.
Get a holistic view of hazards associated with the assessments, thereby identifying hazards, assessing risks, and developing controls based on specific workplace situations.
Gain visibility on workers’ compensation claims expenditure, the status of claims, and overall spending over a defined period. Correlating and benchmarking claims data helps you set goals for reducing overall claims cost.
Forecast the months where the action items closure rate is more by leveraging the seasonal addictive method.
Forecast lost time cases by year of incident and month name of the incident using the single moving average non-seasonal method.