On-Demand PMSA Webinar: Proactive Pharma Intelligence—A Practical Blueprint
Analytically Accurate Answers Grounded in the Full Picture
Nick Pinero has 10+ years of experience guiding commercial pharmaceutical customers through the technical evaluation, implementation, and deployment of AI-powered analytics. Prior to joining Tellius, he was a Lead Data Scientist at IBM, where he applied artificial intelligence and machine learning algorithms across retail, healthcare, financial services, and telecommunications.
Whether it's a gross-to-net trend for the access team or a territory performance review for commercial ops, the process is the same: someone needs an answer, files a request, waits in a data engineering queue, and the business moves on without the insight.
In this session, you'll walk away with a practical blueprint for breaking that cycle — using agentic AI to move from ad-hoc data requests to always-on commercial and market access intelligence. We'll show you how pharma teams are:
- Collapsing the data-to-insight bottleneck — going from raw data (claims, contracts, prescriber activity, sales performance) to a validated, governed analytics model in a single conversation instead of a multi-week data engineering queue
- Putting role-specific analytic apps in the hands of the people who act on data — purpose-built for the account director tracking formulary position, the brand lead monitoring launch trajectory, or the field ops manager identifying coverage gaps — with embedded root cause analysis, variance decomposition, and forecasting they can open every morning without touching a BI tool
- Automating recurring investigations, not just reports — payer performance reviews, HCP targeting analyses, contract compliance monitoring, and brand deep-dives that run on schedule and deliver board-ready findings to the right inbox, personalized by role and region
We'll ground every example in the analytical methods underneath — variance decomposition, root cause analysis, anomaly detection, and forecasting — so you can evaluate the rigor, not just the interface.
This isn't just a product demo. It's a working framework you can map against your own data, your own team structure, and your own reporting cadence. Whether you lead market access strategy, commercial analytics, or the ops team that supports both, you'll leave with a clear picture of what's now possible — and what it takes to get there.
Ready to see how this applies to your team? Schedule a complimentary AI Roadmap session with our commercial pharma team here.
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