 Health data collected through District Health Information System 2, DHIS2, is an important tool for tracking progress towards the sustainable development goals, SDGs. In order to maximize its potential, it is necessary to improve the quality of data collected and ensure consistent reporting across all health facilities. This paper proposes several immediate solutions for data analysts, such as standardized data cleaning pipelines, K-means clustering to identify performing health facilities and imputation methods. Additionally, improvements at the point of data collection should be made to ensure reliable data and accurate reporting.