
The analytics platform regulated pharma commercial teams run on: NPI validation, PLD compliance reporting and multi-client analytics on Snowflake and Apache Airflow.
In short
See our pharma marketing analytics case study and the cited State of AI in Pharma Marketing 2026 statistics. Last updated August 2026.
Services
Four service areas designed for the data complexity of pharmaceutical marketing at client scale.
A metadata-driven Snowflake warehouse architecture that isolates clients, scales with demand, and onboards new pharmaceutical clients in days.
Automated NPI lookup and provider matching that achieves 95%+ accuracy across client datasets, with full PLD reporting output.
DAG-based scheduling and pipeline automation that keeps data fresh, validated, and ready for client-facing analytics.
Client-facing analytics dashboards and automated PLD compliance reporting that meet pharmaceutical industry audit requirements.
Featured delivery
Pharmaceutical marketing
A multi-client pharmaceutical marketing analytics platform serving 15+ pharma clients: 100% automation of data refresh and physician matching, 95%+ NPI accuracy, 70% lower operational costs and 80% faster client onboarding.
Read the pharma analytics case studyUse cases
Multiple pharmaceutical clients, each with different data sources and reporting requirements, unified on one platform.
Manual NPI matching causing errors, delays, and audit failures. Automated to 95%+ accuracy with full PLD output.
Manual onboarding taking weeks per new client, reduced to days with configuration-driven architecture.
Inconsistent data from disparate sources causing downstream reporting errors, resolved at the ingestion layer.
Technology
Snowflake and Airflow at the core, with full flexibility across integrations.
Why Agility
We understand physician-level data requirements and compliance obligations, built in from day one.
Add new clients without engineering sprints. Configuration parameters, not code changes.
PostgreSQL, Salesforce, flat files, REST APIs. We integrate whatever your clients are using.
RBAC, audit logging, data isolation, and PLD reporting built to withstand pharmaceutical industry audits.
FAQ
PLD reporting, Salesforce, client data isolation, onboarding and ongoing support.
PLD (Physician-Level Data) reporting tracks marketing activity and spend at the individual NPI level. It is required for pharmaceutical companies to demonstrate that HCP engagement is compliant with industry codes and internal policies. Our automation ensures consistent, auditable PLD output for every client without manual intervention.
Yes. Salesforce integration is a standard component of our pharmaceutical analytics platform. We build automated data sync pipelines that pull CRM activity data, match it to NPI records, and incorporate it into PLD reporting and analytics.
We use metadata-driven Snowflake architecture with full client segregation enforced at the data layer. Each client's data is partitioned and access-controlled via RBAC and Azure AD groups. Audit logging captures all access events.
Days, not weeks. Our configuration-driven framework means onboarding a new client requires setting configuration parameters and establishing source data connections, not a bespoke engineering engagement for each new account.
Yes. We offer managed service agreements covering pipeline monitoring, new client onboarding, model updates, and platform expansion as your client base and reporting requirements evolve.
A pharma marketing analytics platform is built around NPI-based provider validation, PLD (physician-level data) compliance reporting, and strict per-client data isolation, none of which come out of the box with generic BI tools. Our platform validates providers against the NPI registry at 95%+ accuracy, automates PLD output for audit, and partitions each client at the Snowflake data layer. See the numbers in our pharma marketing analytics case study.
Tell us about your client reporting and NPI challenges. We'll scope a plan in 48 hours.