Purpose-Driven Disruptive Innovation
At DataZymes, we are the catalysts and change agents for a better Pharma.
Deep Focus
on Pharma
To achieve our vision of catalyzing Pharma innovation, we've taken up the hardest problems faced by Pharma today
Data-Driven
Problem-Solving
To solve these problems, we extensively leverage data and cutting-edge technologies to create novel solutions
Product
Excellence
To industrialize the solutions and to empower users, we then built products with superior user experience for working with data
Data-Driven Digital
Products for an
Empowered Pharma
Our Digital Products accelerate the data-to-insights journey for Pharma.
Key Product Tenets

Purpose-built

Readily Deployable

Modern Tech
Architecture

Enable Self-serve

‘Single source of truth’ for competitive intelligence insights

‘Insights as a service’: content + technology

Advanced pre-built visualization

Human curation and analytics

Scalable and extensible

Highly customizable and easy maintenance

Rapid ingestion with smart connectors

Data lake and warehouse capabilities

BI and analytics readiness

Scalability and security

Focused insights in biopharma business

Rule engine/data catalog/lineage

Comprehensive pharma commercial reporting suite

Persona-based dashboards

NLP-enabled insights

Rapid deployment

Easily customizable

Interoperable with any data

Advanced DQ capability

500+ DQ rule library

Smart visualization on data health

Focused insights in biopharma business

Configurable and customizable

AI/ML-driven use cases

Ready-to-use analytical models

Advanced AI/ML-driven use cases

Smart visualization on outcomes

Focused insights into the biopharma business

Analytics Ready Data (ARD)

Collaboration and governance
Tech-Driven Expertise with Industry Best Practices
We take a holistic, integrated, and cross-functional approach to deliver business solutions.
- Competitive and market intelligence
- Therapeutic and portfolio strategy
- Forecasting
- BD&L support
- Social media analytics
- Data architecture and modeling
- Data integration/DWH/data lakes
- Big data capabilities
- Master data management
- Data governance and quality
- Business intelligence
- Marketing effectiveness
- RWE and patient analytics
- Specialty and sales performance analytics
- Market access analytics
- Analytics workbench
- Data science - ML/AI/NLP