Having trouble dealing with discrete data scattered across different network folders, databases, and flat files on your desktop? Struggling to validate your in-situ water sensors with your discrete lab results?
Tuesday, February 28, 2017
11 am PT | 12 pm MT | 1 pm CT | 2 pm ET
Modern software tools are now available to help organize, filter, and graphically display and publish these results quickly. Join Dave Gilbey, Water Quality Analyst, on February 28 for a discussion on these 5 common data challenges.
5 Common Data Challenges
- Environmental sampling data are often decentralized.
- Data are of different types, making them challenging to analyze.
- Filtering and sorting data is a time-consuming and manual process.
- Correlating and calibrating real-time data with discrete samples is not possible.
- Sharing data with the public and stakeholders is expensive.
- Plan your environmental sampling with a graphical workflow and data entry from the field with a web-enabled device.
- Show how cloud software can streamline your process of sample management, and reduce risk of errors.
- Review different types of data and metadata entry, and search for that information in a single cloud database.
- Demonstrate how to correlate time series and discrete samples, so you can easily validate your field sensors (i.e. algae, TSS, fDOM).
- Show how to share this data online or export for dissemination to stakeholders or the public.
Join Dave Gilbey for a discussion on how to address these challenges, including a demonstration of AQUARIUS Samples. Register today!