Part 2/12:
Pharma companies are data-intensive entities, producing terabytes of information across various departments involved in drug discovery, clinical trials, regulatory approval, and commercialization. Each phase generates specialized data—molecular research data, clinical trial outcomes, regulatory documentation, and sales metrics—spread across numerous unstructured and structured sources.
Traditionally, business leaders relied on dashboards and depended heavily on data analysts to interpret these complex datasets. This creates delays, as analysts need to deviate from their core tasks to generate reports, resulting in slower decision-making—a costly bottleneck in an industry where time can mean millions of dollars and patient lives.