Modernizing Relief Efforts 

SAS Visual Analytics
IOM helping a man

IOM is changing the face of humanitarian response.



For the Nepalese, visual analytics is the difference between
lifting them up — and helping them stand on their own.

The International Organization for Migration (IOM) has been onsite in Nepal since the first of two earthquakes shattered the area last April. More than 8.1 million people were affected, more than half a million homes destroyed. Today, with the help of analytics, IOM is making unprecedented progress toward returning families to their homes and rebuilding the local economy.

Thumbnail of analytics identifying Nepal camps with females at risk

Protecting the vulnerable

Thumbnail of analytics showing top producers of roofing materials to rebuild Nepal

Rebuilding towns

Thumbnail of initial analytics assessment in Nepal

Restoring stability



 
 
 
 
 
 
 
 
 
 
 
 


IOM’s early adoption of visual analytics has paved the way for improved global disaster response.

Analytics modernization — a continuous evolution of how to gather and analyze data — is dramatically improving the speed and efficiency of disaster response for IOM. During previous relief efforts, IOM had to rely on data buried in massive spreadsheets. Now, within minutes, SAS visualized data is helping IOM reach out and support millions of people in need around the globe every day.  

SAS Visual Analytics in Nepal

 

 

IOM staff member reviewing analyses via cell and gathering data from Nepalese woman

Real-time information was immediately available
Staff resources had immediate access to all crisis data via their cell phones and laptops. This is especially important in the field, where life and death decisions are made.

 

Nepalese boy receives bowl of food as part of IOM's relief efforts

Plans of action were identified and prioritized
Leading predictors of camp failure were quickly identified, as well as the special needs of pregnant women and children, to minimize unnecessary suffering.

 

People unloading sheet metal

Implications for the local economy were revealed
Mapping the earthquake’s diaspora, IOM saw where the male residents of towns resided, and got them home first to jumpstart rebuilding and encourage self-sufficiency.

 

Learn more about SAS Visual Analytics

 

 

 


By modernizing our approach to first response through analytics, we were able to understand what the country’s production capacities and inventories are, and work on that very complicated equation of identifying the best way to assist people without creating dependency.
Brian Kelly

Brian Kelly, IOM Regional Emergency and Post-Crisis Advisor

Back to Top