Case Study
University Reduces Infrastructure Cost by 30% and Doubles Efficiency through Cloud Migration
- Industry: Education Services
Major public research institution offering comprehensive on-campus and online programs in liberal art, science and engineering through its widespread network of colleges
Challenge
- Growth in academic programs and research initiatives drove significant increases in data volumes, further exposing the need for improved analytics. Their existing data management system had numerous data sources, including outdated RDBMS, which made data processing slow and cumbersome, making scaling up impossible. Additionally, they lacked real-time analytics and reporting capabilities due to the absence of cutting-edge Big Data technologies.
Solution
Aligned Automation designed and implemented data platform and analytics solution on Azure cloud using industry best practices to ensure future scalability and cost efficiency. This was enabled by faster query processing through automation, robust reporting and to achieve Big Data and AI/ML capabilities to accommodate growing programs.
- Implementation of a parameterized Azure Data Factory (ADF) to streamline data integration and management, complemented by lakehouses for efficient cross-departmental data management
- Design and deployment of a scalable and secure cloud infrastructure using Azure, ensuring robust encryption and security measures for sensitive information during and after migration.
- Adoption of a modular approach enabling parallel development, faster deployment, and increased flexibility
Capabilities leveraged
Data visualization
Data engineering
Data migration
Outcome
30%
Reduction in infrastructure cost led by eliminating on-prem solutions
2X
Optimized query performance to one minute using interconnected data fabrics.
Enhanced security protocols especially for Personally Identifiable Information (PII) through stringent encryption
On-demand reporting uncovers previously inaccessible insights and KPI