Enabling data modernization for informed decisions
In today's data-driven world, harnessing the power of information is crucial for business success. This case study explores how Virtusa, a certified Microsoft Solutions Partner, empowered a leading global testing and assessment solutions provider to achieve a remarkable 30% improvement in business efficiency through a strategic data platform transformation on Microsoft Azure.
The client: A global leader in testing and assessment solutions
Our client, a leading provider of technology-empowered testing and assessment solutions, caters to a diverse clientele, including renowned licensing and certification organizations, academic institutions, and government agencies worldwide. Recognizing the potential of data monetization and modernization, they embarked on a comprehensive digital transformation journey. Their vision was to evolve into a data-driven enterprise, fostering informed decision-making and facilitating future capability development.
Data silos and inefficiencies hindering transformation
The client's existing data platform posed significant challenges to their digital transformation goals:
- Limited scalability and flexibility: The existing platform couldn't accommodate evolving business needs, hindering growth and development.
- Data fragmentation: Multiple data copies across systems compromise data reliability and trust, hindering informed decision-making.
These challenges underscored the need for a strategic data platform transformation to overcome data silos and inefficiencies, ultimately enabling data-driven success.
A phased approach to data platform transformation
Virtusa implemented a strategic, phased approach to data platform transformation on Azure:
- Discovery and design: We thoroughly assessed the client's existing infrastructure and aligned it with the Azure data platform and technologies.
- End-state architectures and proof of concepts: Our experts designed target-state architectures and rigorously tested their feasibility through proof of concepts before implementation.
- Layer-wise implementation: We migrated critical data sources to the Azure Data Lake, then progressively complex datasets, culminating in simpler, lower-volume sources. This layered approach ensured a smooth and efficient migration process.
- Data lake, staging, and publish layers: Virtusa facilitated a phased data ingestion process:
- Data lake: Storing vast amounts of data in its native form using Azure Data Lake Storage.
- Staging layer: Transforming and cleansing data to establish a single source of truth.
- Publish layer: Enabling self-service reporting capabilities with Power BI.