Data and Analytics

Prescribing the Next-Gen Data Architecture to Innovate Medical Analytics

Introduction

A leading US MedTech Company wanted to modernize their data architecture to meet increasing analytics demands, so they reached out to Exavalu for advisory and implementation services.

Services Offered

Advisory

Implementation

Challenges

Our client struggled with their on-premises data platform as it could not keep up with high order demands like prescriptive analytics, and patient-centric insights. The data was siloed in various departments which limited the implementation of unified analytics and resulted in slow, inconsistent, and limited data delivery.

How Exavalu Made an Impact

Built cloud data architecture for Enterprise Data Organization with source data integration patterns, data lake formation and medallion architecture, spark based ETL, data warehouse, BI and analytics platforms.
Developed an Enterprise Data Warehouse in Snowflake.
Migrated from Informatica code to Spark based Glue ETL jobs, orchestrated via AWS Lambda and Step Functions, integrating data from JDE, EBS, PPA systems.