Transforming Analytical Data Platform For A Competitive Edge
BUSINESS CHALLENGES
Our Client, a pioneering technology firm in the assisted living sector, ‘offers a suite of products designed to empower skilled nursing home operators and investors. Their solutions ensure seamless operations and transparent risk assessments through insightful KPIs, comprehensive ratings, and advanced search capabilities. They sought to revamp their Analytical Data Platform to gain a competitive edge in their market space.
SOLUTION
We conducted a thorough analysis of their existing system, identified core pain points, and crafted tailored solution options. Our objective was to provide a solution that aligned with their future growth and market differentiation strategy. By harnessing state-of-the-art technologies and industry best practices, we have crafted an advanced platform that boasts superior data analytics, streamlined workflows, and enhanced data visualization.
Key enhancements include:
- Revamp of data ingestion pipeline on Azure fabric using Azure Data Factory, Python and Fabric
- Designing Data Lake on ADLS (Azure Data Lake Storage) and data warehouse on SQL persistent layer using star schema.
- Designing transformation engine using Spark notebooks.
- Designing a semantic layer using Cube.dev semantic layer platform, which provides, downstream system integration, Data Modeling capabilities and Access control.
- Data Quality and data governance control using great expectations and custom data cataloging.
- Integration and implementation of the solution with existing
BUSINESS IMPACT
1
The new Analytical Data Platform has catapulted the client to the forefront of the industry, arming it with the ability to extract actionable insights and make strategic decisions—all while significantly lowering overhead costs.
2
It has cemented its reputation as an innovator thus giving it a distinct competitive advantage to captivate more clients, drive business growth, and achieve operational excellence.
