Efficient longitudinal patient-level data analytics help pharmas learn how patients respond to treatments over time and evaluate which treatments are most effective in improving a patient’s medical condition. Given that inconsistencies and/or gaps in data are a major challenge to analytics, MSA has developed advanced tools that identify/fix gaps and formatting inconsistencies, making the data more robust.