The process was manual and ad-hoc in nature, demanding a considerable amount of resource bandwidth that increased manpower costs
Delayed time to insights resulted in ineffective patient care and poor brand performance
Customized analysis also led to a multitude of process inefficiencies that took as long as three weeks to rectify
Indegene designed an efficient data pipeline using an ETL data model, and also used survival regression models to track treatment persistence and brand adherence among patients.
Next, we leveraged IQVIA and Symphony APLD data platforms to analyze brand switching patterns among patients. Finally, we leveraged RWD sets and product identification codes (NDC, HCPCS, ICD) to estimate the company’s market share.
Indegene's self-serve dashboards allowed business stakeholders to swiftly filter, sort, analyze and visualize data without involving the organization’s IT team.
Time to patient insights
Cost from FTE models
Speed to decision