Data-Driven Water Security with Bluemix Apache Spark ServiceVladimir StemkovskiIBM

Water Mission• Non-profit organization dedicated to bringing safe

water solutions where needed around the world.• Founded in 2001, based in Charleston, SC• Most of the projects in Africa, South America and

Asia• 650+ community development and disaster projects

currently underway• 2000+ safe water and sanitation solutions built

Water Treatment Stations (Kiosks)• Living Water™ Treatment Systems• Making clean/safe water from otherwise

contaminated water sources• Installed and monitored by Water Mission• Maintained by local communities

• Goal: make the maintenance sustainable

IBM and Water Mission• Started to work together in 2015• Multiple on-going joined initiatives

– Alerting system– Operational Dashboard– Data analysis

• Focus on sustainability

Data Analysis• Multiple data sources

– Water consumption data (all transactions)– Historical weather data (including rainy seasons)– Socio-economic data (income, occupations, agricultural seasons,

households, etc.)• Comparing several communities• Trying to answer some tough questions

– Can we predict water shortages and water outages?– Can we predict drought conditions?– What can be done to increase usage of the safe water in the communities?

• Some of these questions can actually be answered!

Sample Study• 3 communities in Uganda

(Kikondo, Busiro, Dei)• Kikondo – 1+ year in

operation

• Used Bluemix Apache Spark service with Jupyter notebooks to analyze the data and come up with recommendations on increasing efficiency of the kiosk.

Conclusions• Add affordable program for replacing lost cards• Conduct experiments with inserting more cards

into the system• Consider issuing multiple cards to each

household

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