The main challenge that was solved by using InformationGrid was how to combine data from multiple sources into one coherent dataset, without ‘manipulating’ that data inadvertently. By using data transformations and quality checks the incoming data is structured and stored in a single repository. Validation rules were applied, allowing for fault tolerance, privacy settings incorporated, and a logical, canonical model is implemented for retrieval, statistical analysis, or, in future, intelligent applications like treatment prediction.