In Cambodia, natural disasters caused by extreme storms, floods, and drought usually take place during certain seasons and are sadly all too common. When it occurs, it affects many households, livestock, farms, and especially lower-income neighborhoods. The pain, loss, and hardship are real and felt by all, so finding a solution was a must.

In stepped the UNWFP with its initiatives to do on site assessment for every village & community to survey for the situation on the ground of the natural disaster’s impacts. The data they collected was then sent from the field to their head office to generate a report so the team in the head office could react in time with their disaster preparedness response programs.

However, most of the time, the team could only react and rely on field information. This was caused by delays in the field submissions.

As a result, the disaster preparedness programs were not efficient or effective due to the lack of real-time data & forecast data. Plus, it was taking considerable time to generate the report for the disaster preparedness team.

PRISM, which had been rolled out in neighboring regional countries, provided the UNWFP a way to turn things around. The UNWFP set about searching for a tech partner to customize the systems for PRISM for Cambodia, supporting some functionalities for satellite weather data. Slash was proud to be the trusted partner to help deliver on the upgraded features.

The PRISM project was a challenging undertaking with tech debt, changes in scope, data dependencies and many NGO, UN and academic stakeholders. The Slash team has been tremendously flexible and technically skilled in delivering us what we need.

Amit Wadhwa, PRISM Program Manager, UN WFP

Despite there being much technical debt from the PRISM source code, the Slash team was able to accomplish a lot of customization for the Cambodia data. That included satellite data, ingesting IDPoor (low-income household data), ingesting Cambodia’s administrative data, Cambodia’s early warning system data, and some calculations to be able to provide past & current forecast data. Armed with this information, the experts at the UNWFP were able to use it and prepare accordingly in advance for new incoming natural disasters in Cambodia.

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Client
UN WFP
Project
2019 – 2020
Challenge
Adapt the different type of data that Cambodia has to fit in the legacy system workflow
Solution

External, public; High-level specs; DevSecOps; Web apps; Interface and interaction design

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