Re-Engineering Pharma Decisions: From Molecule to Market
From fragmented data to confident outcomes - DataTheta helps Pharma & Biotech leaders accelerate discovery, compliance, and commercialization with clarity.



Cutting Through Complexity A Silent Shift In Pharma Biotech
DataTheta’s frameworks are trusted by global Pharma & Biotech innovators who see analytics not as reports- but as competitive advantage built on clarity, compliance, foresight.
125K+
150+
The DataTheta Pharma Analytics Process (How We Work)
1. Discovery & Data Audit — We begin by auditing existing data sources (clinical, lab, R&D, operational) to map data flows and identify gaps.
2. Architecture & Integration — Design and build a secure data warehouse or lakehouse tailored for pharma data with compliance traceability.
3. Ingestion & ETL/ELT Pipelines — Automate data collection from trials, labs, EMRs, IoT devices, registries, and external sources.
4. Analytics & Modeling — Deploy descriptive, predictive, and prescriptive analytics - including AI/ML models, safety analytics, trial outcome forecasting, and RWD analytics.
5. Reporting & Insights Delivery — Provide interactive dashboards, compliance reports, monitoring tools, decision-support systems for stakeholders.
.webp)
Impact That Matters




%20Analytics.webp)

Metrics That Speak the Language of Pharma & Biotech









