The initial engagement with psKINETIC was a 6-week project to understand the problem, provide a data cleanse roadmap and outline an MVP solution. The objective was to enable the team to easily maintain a more structured and reliable data set going forward.
Virtual SME workshops and interviews with key stakeholders were used to analyse issues in the data and processes. In parallel, detailed analysis and automated cleansing of the dataset took place. Through these activities, a new data model was defined that correctly mapped the complex relationships between restricted entities & NDAs.
This rolled into the development of a POC application to start testing the cleansed data model against Hayfin use cases and uncover further requirements. The project was concluded with a design and implementation plan of a new solution to transform the existing processes.