Medical Device Mapping and Revenue Forecasting

A healthcare data aggregator relied on manual processes and outdated systems, causing inefficiencies and slow forecasting. Primotech modernized their systems using Azure SQL, Python automation, and Azure Data Factory — improving efficiency, scalability, and reducing lead times.

Project Overview

The solution involved migrating from on-premises data storage to Azure SQL, automating data transformation using Azure Data Factory, and creating a UI platform for manual mapping. Regression models were automated to process new data weekly, ensuring faster and more accurate forecasts. Automation reduced manual mapping time from 48 hours to 5 hours, enabling scalability.

Key Highlights:

Technology Stack: Azure SQL, Python, Azure Data Factory, Custom UI for manual mapping.
Optimization: Reduced data transformation time from 24 hours to 2 hours; automated mapping reduced manual effort significantly.
Automation: Introduced Python scripts and UI for re-mapping, validation, and user analytics
Results: Lead time reduced from 7 days to 3 days; scalability achieved to cover top 100 medical device manufacturers in 6 months.

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Transforming Healthcare Data with Scalable Cloud Solutions

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About Us

Primotech is a leading global IT solutions company specializing in AI/ML, Data Engineering, Full Stack Development, DevOps, Cloud Services, and more. We deliver cutting-edge software solutions to enterprises, startups, and SMBs, leveraging agile methodologies and deep technical expertise to drive innovation and business growth.