Mobile, Cloud, and Big Data for Measuring Progress in WASH
Kwasi Boateng, Christina K. Barstow · 2018
Asserts that efforts to assess the impact of water, sanitation, and hygiene (WASH) interventions often rely on data collected through person-to-person surveys, subjective observations, or expensive and time-consuming experimental studies, and a key challenge remains that of bringing together numerous stakeholders spanning different sectors while still using multitudes of data sets. Addressing this challenge requires ensuring the supply of high-quality data and improving analytical capacity by filling all WASH data gaps and strengthening data integration across multiple sectors. Furthermore, data applications can help governments in emerging economies address the myriad of social and economic issues that continue to plague these regions. Opening up access to data and being more transparent on WASH sector projects may empower consumers to have more fruitful interactions with stakeholders. Creating proper dialogue with the use of big data applications will provide both consumers and governments the proper tools required to address social and economic problems.