EeHSSE provides environmental sampling and monitoring services as a complementary service in the delivery of wide-spectrum environmental services we offered. We strongly advocate for quality data to support and inform decision making within our clients’ organizations. We adopt strict quality assurance and quality control procedures to ensure our environmental sampling and monitoring work deliver high quality data which are traceable and repeatable.
In EeHSSE, we invest in our talents in ensuring our sampling team has the right skill to accomplish any sampling work entrusted by our clients. We equipped our team with the state-of-art equipment or tools that are properly calibrated and ready for any deployment to the field assignment to reduce possible systemic errors to the minimal possible. We have dedicated program coordinators to oversee the end-to-end delivery from the initiation of the projects to a satisfactory closure upon delivering of our environmental sampling and monitoring reports.
We tap into our pool of environmental scientists and engineers, and environmental statistician to provide professional analysis of environmental data appreciating the distribution patterns typical to environmental data, instead of relying purely on simple comparison or trending analysis which could sometimes mask the underlying errors or issues.
In EeHSSE, we invest in our talents in ensuring our sampling team has the right skill to accomplish any sampling work entrusted by our clients. We equipped our team with the state-of-art equipment or tools that are properly calibrated and ready for any deployment to the field assignment to reduce possible systemic errors to the minimal possible. We have dedicated program coordinators to oversee the end-to-end delivery from the initiation of the projects to a satisfactory closure upon delivering of our environmental sampling and monitoring reports.
We tap into our pool of environmental scientists and engineers, and environmental statistician to provide professional analysis of environmental data appreciating the distribution patterns typical to environmental data, instead of relying purely on simple comparison or trending analysis which could sometimes mask the underlying errors or issues.
