In most cities in the US, drinking water quality conforms with the norms of the Safe Drinking Water Act, which…
Your enterprise is facing more environmental data management challenges than ever before. New emissions regulations, ever-changing quality assurance guidelines, and corporate social responsibility expectations have forced many companies to adopt immediate data management practices that aren’t the best long-term strategy.
But there is a better way to manage all your sampling, analytical, and subsurface data than in a patchwork of spreadsheets and disjointed databases.
On 12 April 2019, Locus’ Founder and CEO, Neno Duplan, received the prestigious Carnegie Mellon 2019 CEE (Civil and Environmental Engineering) Distinguished Alumni Award for outstanding accomplishments at Locus Technologies. In light of this recognition, Locus decided to dig into our blog vault, share a series of visionary blogs crafted by our Founder in 2016.
More recently, big data has become more closely tied to IoT-generated streaming datasets such as Continued Air Emission Measurements (CEMS), real-time remote control and monitoring of treatment systems, water quality monitoring instrumentation, wireless sensors, and other types of wearable mobile devices.
Do you currently use a system of Excel spreadsheets to store your environmental data? It may be time to consider a more mature tool to manage and store your environmental data. In this 4-part blog series, we’ll explore in detail each of the 12 key areas where cloud-based environmental databases excel over home-grown spreadsheets.