Utility Management,

Made Easy.

Distributing safe, clean drinking water to our customers is no small task. Trust NUWS simple yet powerful infrastructure asset management application to help you with seemless reporting, integrations, and meet regulatory compliance.

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Features

The product is branded as NUWS MVP-V1 application and provides the following benefits

Automated

Data Pipeline

Move and unify data from an ever-increasing number of disparate field sources and formats so that it's compartible with the target's database schema and also suitable for analytics and business intelligence with minimal user intervention.

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Reporting

Simplified

NUWS accommodates a wide range of restful API end points, providing flexibility in accessing the utility's performance data and seemingless connection to your external legacy systems.

Rapid

App Integration

The Dockerized image that ensures rapid and consistent integration of this application with your database systems across different production environments, eliminating the dreaded "But it works on my Machine" problem. With our Docker image, you can easily scale your applications to handle any level of traffic, without worrying about compatibility issues or the need for complex configuration.

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About Me

Hello, you

Raymond is a dedicated Engineer that is passionate about improving water and sanitation management practices. Close on to the last 5 years, he has worked at GFA Consulting GmbH, an international consultancy firm, were he supports various development programs aimed at enhancing water utility performance monitoring metrics. These programs are designed to increase transparency in performance monitoring and reporting to a variety of stakeholders, including development partners, their customers, and regulatory authorities. However, the current data management tools used by utilities are often manual, even with the introduction of digital tools like Kobo Toolbox and cost-inefficient especially in cases where there is a need for scaling of the data management process. As a data engineering enthusiast from Uganda, Raymond developed an application that streamlines the data management process by automatically collecting, cleaning, and processing data from Kobo Toolbox and presenting the results in a user-friendly web interface.

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