Continuous Improvement in Environmental Data Management

Staying on top of data management is already a tough task for environmental scientists and engineers, but what happens when projects expand? With larger (and possibly more complex) databases, it’s important for scientists and engineers to continuously improve their data management skills.

When project teams take the time to improve their environmental data management skills, they gain more insights and make better-informed decisions – helping to achieve project goals.

Here’s how ESdat helps you to become a better data manager:

Easy and intuitive – With ESdat, even scientists and engineers new to data management can start working on their data management skills. Our intuitive user interface and online learning resources allow for easy adoption. ESdat comes pre-configured for common use cases, making it easier to implement.
Automated integration – ESdat supports data exchange with a global network of environmental laboratories. ESdat is compatible with various data viewing platforms and automatically loads data into the corresponding projects and sample categories. This helps you work across various data sources and makes your data management learning process more efficient, reducing your time on manual data entry.

Data visualisation – Communicating your data is a key aspect of data management, as it can impact stakeholders’ view of your project’s environmental performance. ESdat’s data visualisation tools allow you to effortlessly create graphs, maps and tables and assess data trends, which allows for more effective data communication and visual inspection.
Validation and QA – ESdat’s built-in data validation tools ensure your data is consistent from start to finish, reducing the need for time-consuming data checking. All data is assessed against your own data quality objectives, with all errors reported back to you and your lab.

Investing in solutions that help in improving data management skills is instrumental in helping you and your team achieve your project goals. ESdat’s intuitive platforms, automation and integration, data visualisation tools, and validation and QA help you to brush up on your data management skills and reduce the time you spend on manual data processing.