A healthcare data aggregator relied on manual processes and outdated systems, causing inefficiencies and slow forecasting.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.
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.
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