Data topics

Most pharma next-best-action programs promise AI-driven guidance for reps, but fall apart on bad data, missing context, and black-box models. This post breaks down why traditional NBA efforts stall, and what’s actually working: analytics-ready data products, a semantic layer that understands pharma metrics and entities, identity resolution to kill “ghost” HCPs, and agentic analytics that can investigate, validate, and recommend real next-best actions across HCP targeting, territory fairness, coaching, and omnichannel orchestration.

Too often, commercial pharma reps are working from outdated, imprecise target lists—wasting time on the wrong doctors while missing key growth opportunities. This blog explores how Tellius transforms field sales by turning fragmented data into real-time, physician-level insights. Learn how natural language querying, AI-powered drop lists, and dynamic segmentation help teams respond faster, optimize territory planning, and drive impact at the moment of decision—not just at the end of the quarter.

Key learnings from Novo Nordisk to help you along your journey to unlocking business value with AI in the commercial pharmaceutical space.

With Snowflake’s powerful AI Data Cloud as the foundation, Tellius adds the magic of conversational AI, automated insights, live Vizpads, and predictive analytics.

Learn how Novo Nordisk’s commercial analytics team is leveraging Tellius' AI analytics solution to drive data-driven answers and insights.

Implementing AI-driven analytics is a catalyst for transformative change in the pharmaceutical and life sciences world.