Seventy to eighty percent of patients with transthyretin amyloid cardiomyopathy (ATTR-CM), a progressive, often fatal form of heart failure, don't know they have it. The disease mimics other cardiac conditions. The only way to confirm it is a specialized diagnostic scan. And the only way to get patients there is to make sure the right cardiologists, at the right practices, are educated and prioritized by a field force that's working from better information than a static call list.
That's the commercial reality that Heart Health Pharma lives every day. And it's a sharper version of the challenge every specialty pharma commercial team faces:
The data exists, but it doesn't reach the right person, in the right format, at the right moment.
Most data platform investments solve half of this problem. They connect data from source systems like Veeva to an analytics environment, centralize it, govern it and then surface it in a dashboard that a rep can't access from a parking lot and an MSL can't query the night before a Key Opinion Leader (KOL) visit. The data moves. But, the intelligence doesn't.
Not just by pulling data out of Veeva and into a separate system, but by bringing AI directly into the workflows your teams already use, and integrating bidirectionally. For teams using Veeva Vault CRM itself, Databricks Genie agents and AI/BI dashboards are embedded in your workflow, surfacing insights powered by the full depth of your commercial dataset.
The implication is profound: your commercial teams, from sales reps to medical science liaisons to territory managers, don't log into another tool. They ask a question in the app and workflow they already have open.
Here's what that looks like in practice across three commercial personas, on one unified platform.
It's 7:45 AM and John is in the parking lot before a 9:30 call. With Databricks Genie embedded in Vault CRM, he opens a live geographic view of every healthcare professional (HCP) in the area, surfacing suspected ATTR-CM patient counts near each practice, formulary access scores, office availability, NRx-weighted priority rankings, and talking points, all dynamically generated from the full commercial dataset. When a physician cancels, he asks Genie to rebuild his day. He gets an answer in seconds, not a ticket to the analytics team.
The differentiator: Databricks can reason across any data you bring, whether IQVIA claims, Komodo patient signals, call notes, specialty society directories and beyond. The AI isn't working from a fixed template. It's making the best decision for that rep, in that geography, in that moment.
The night before a KOL visit, Sarah needs to know what Dr. Smith is publishing, which trials he's following, and who his closest scientific collaborators are. A Databricks reasoning agent searches only the sources her organization has approved (ie Veeva Link, PubMed, ClinicalTrials.gov, ASNC practice guidelines) and synthesizes a pre-call brief with traceable citations in minutes.
She can see exactly which source each claim came from. In a regulated scientific exchange environment, that's not a nice-to-have. It's compliance.
Bob needs more than a KPI scan. He needs to know which reps are over-calling defenders and under-calling whitespace, which suspect-patient signal is sitting unworked, and which HCPs have gone dormant. Databricks AI/BI dashboards, dynamic, personalized to his role and territory, embedded in Veeva, give him that view.
When the dashboard isn't enough, Genie is one question away. No analyst request. No waiting until next week's report.
Databricks lakehouse architecture can power all of your commercial teams. Same governance layer. Same Unity Catalog managing access, lineage, and compliance across every persona. The sales rep, the MSL, and the territory manager are drawing from the same trusted data, surfaced in the format that fits their workflow, at the depth their role demands.
That's what it means when the platform conforms to the workflow, not the other way around.
At Veeva Commercial Summit May 19-20 in Boston, stop by the Databricks booth (S1). Come with your hardest questions about your data, your field force, and your therapeutic area.
And on Wednesday, May 20 at 9:00 AM ET, the Databricks team will be presenting Embedding External AI Agents in Vault CRM, a live look at how Databricks Genie agents run natively inside Vault CRM, what the integration makes possible for field commercial teams, and how to start building.
If you can't make it in person, reach out to your account team, and ask what it would mean for your field force to stop waiting on answers.
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