Field leaders at one of the world's top global pharmaceutical companies faced a recurring challenge every Monday: identifying what changed last week in the field, why, and what to do about it. Answering this series of questions took 8–10 days due to the manual nature of stitching Rx data from one warehouse to claims from another to field activity from the CRM.
By the time analysis was ready, the window to act had passed and new questions had already piled up. Instead of incremental fixes, the Novo Nordisk team took a fundamentally different approach — building a pharma intelligence layer on top of Snowflake that unlocked massive efficiencies across numerous use cases.
AI field analytics drove huge efficiencies across data engineering, BI, and analyst hand-offs.
Across 11 field teams plus home office — analysts, brand, market access, leadership.
Quarterly BRM assembly compressed from days of analyst work to one query.
A live example of how a Novo Nordisk field leader asks a cross-source question — Tellius decomposes the answer and ships the finished artifact.
By the time we had the answer, the window to act had usually closed. That happened every Monday.
The fundamentally different approach was structural. Novo Nordisk's team built three layers, stacked in order: a governed Snowflake foundation, the pharma intelligence layer that defines the business once, and a surface where field leaders meet the work. Each layer depends on the one below. The intelligence layer is what most BI architectures skip — and it's where the efficiencies compound. Built once, every new commercial question runs against the same definitions instead of becoming a new analyst project.
Built data foundation on Snowflake. Now Rx, claims, payer, field activity, patient, and CRM data flow into one governed warehouse on regular refreshes. Security and governance are enforced once, not in each downstream tool.
The semantic layer is where Tellius defines the pharma business. Metrics like Trx, NBRx, and on-target call are set here and inherited everywhere downstream. Row-level security, data lineage, and MLR-aware routing live here too, not separately in each tool.
Vizpads, certified metrics, and AI agents live on one surface. A field leader asks a question in plain English. A scheduled brief arrives Monday morning. No more switching between BI tools to answer one question.
Tellius gives pharmaceutical commercial teams an always-on, conversational analyst that reads from a pharma-native semantic layer and delivers finished PowerPoint, Excel, and PDF deliverables on demand.
Field leaders ask questions in plain English and get root-cause investigations, scheduled briefings, and ready-to-act artifacts — without waiting on the analytics team or reconciling three BI tools.