This tool is a journal article that illustrates the importance of data provenance and shows how provenance-based reporting can be integrated into health data analytics software. The study aims to establish a flexible method of data provenance capture and visualization within analytics software, using the Atmolytics health data analytics software as an exemplar. Data provenance examines and describes the history of digital objects in health data. Strong data provenance practices can ultimately result in increased trust in the system.