USD 1.5 Million Savings, Zero Grunt Work: Transforming Healthcare Analytics with Automated Databricks Modernization
Discover how a global healthcare leader achieved operational excellence by migrating from Statistical Analysis Systems (SAS) to PySpark
Uncover the Story Behind the Transformation
In today’s fast-evolving healthcare landscape, staying competitive means embracing agility and efficiency. One of the world’s largest integrated healthcare organizations broke free from the constraints of legacy systems, unlocking USD1.5M in annual savings, a 60% boost in scalability, and enhanced operational efficiency by modernizing its analytics infrastructure.
With LTIMindtree’s Scintilla, they seamlessly modernized from SAS to PySpark on Databricks, reducing execution cycles by 75%, and allowing them to process larger datasets and make more informed decisions.
What’s Inside: Transformative Insights and Results
- Learn why enterprises are moving from SAS for cost-effective, scalable, and secure analytics
- Get insights into overcoming complex migration challenges while maintaining business continuity.
- Understand the transformative role of cloud-based analytics in healthcare operations

