Many international development organizations strive to improve livelihood around the world by providing products and services to those in need. Organizations rely on field surveys with target communities as the primary form of data collection to uncover the progress of their programs, but these methods are subject to response biases as well as being expensive and time-intensive. Sensen aims to strengthen the reliability of information between international development organizations and the beneficiaries they serve. The Sensen platform provides organizations with a robust and cost-effective solution for monitoring and evaluation to understand usage and performance of products in remote, low-resource settings. The core components of the platform are a cellular-enabled datalogger and a web analytics dashboard. The datalogger attaches to devices to measure, track, and upload information about product usage. This usage data is processed by analytical algorithms and turned into actionable information to support organizational decision-making.
HingiCredit (Makerere University)
Financial institutions face a big challenge when offering agricultural financial credit. They have inefficient mechanisms to evaluate a farmer’s credit worthiness in relation to the
June 15, 2017
