Pharma & Health Data Analytics

Pharma sector is very closely associated with the individuals, in one's daily life. Pharma and health sectors are in the top 3 slots of budget of every country. Ensuring health of every citizen is more important than any other agenda.

From Lab to Consumption

Pharma sector has a unique data chain that is very sensitive. From lab research to production to supply chain to consumption, the drug and chemical data flows thru many critical phases.

Analyzing this data is crucial to ensure the health index of any country. Added to this, compliance and regulations records are becoming vital to every pharma company to be a global player.

  • Lab tests, clinical trial analytics
  • Products, Inventory, SCM analytics
  • Stockist, field sales analytics
  • Returns, feedback analytics
  • Compliance analytics
  • Sales projection
  • Connectivity to insurance and Government
  • Interface with retail

Once the data is ingested in data lake, aggregation routines are executed in the background.

A variety of visualization tools such as Tableau, PowerBI, Apache Superset, Metabase, D3 Charts etc. are used to provide insights.

All these dashboards are responsive to be accessed from PC or Tablet or Mobile devices. At the same time, they are light-weight to reduce bandwidth loads.

Case Study

A leading derma and cosmetology company uses more than 100 suppliers and a pan-India distribution channel.

  • Data for last 10 years is loaded to data lake
  • Dashboards for entire drug life cycle
  • Prediction for supplier lead time, sales projection
  • Lab test failure analytics
  • Customer feedback NLP analytics
  • Non-conformance metrics
  • Returns analytics

‍Customer List

IIT Madras
HCL Technologies
Global Analytics
Enstar Group
Daimler Chrysler Research & Technology
TVS Logistics
Star Health
L&T Infotech

Dr. V. Krithika, M.S., Ph.D.
Honorary Guide
Expert - Healthcare Data Analytics
Passionate about the mathematical concepts behind ML/AI, Management
Sriraman Kalyanaraman
Senior Project Advisor, ICSR, IIT Madras
Principal Data Architect, Resileo Labs
Research on data analytics/Machine learning.
Development of data models for different industries
Planning for dashboard visualization and dashboard security
Development of APM open source tool - APPEDO
Pichumani Nagarajan
Founder & CEO, Resileo Labs

Data analytics, ML, AI
Kaushik Raghavan
Data Architect, Resileo Labs

Data analytics, ML, AI
Test automation
Internet scale performance testing and tuning
Currently doing PhD at IIIT-DM Kanchipuram on data analytics