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success story

Unlocking data-driven growth

Virtusa transforms testing leader's business efficiency by 30% with Azure Data Platform

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.

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The Challenge

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.

 

The Solution

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.
Unlocking data-driven growth: Virtusa transforms testing leader's business efficiency by 30% with Azure Data Platform
The Benefit

Unlocking the power of data

This strategic data platform transformation yielded significant benefits for the client:

  • ~30% efficiency boost: Improved data trust and efficiency through a redefined architecture.
  • Single source of truth: Centralized data sets for all reporting needs, facilitating informed decision-making.
  • Cost savings: Saved ~$60k annually by resolving technical debts with Azure Data Factory extract via Cosmos views.
  • Real-time insights: Near real-time availability of critical information and insights.
  • Data governance: Established data governance, cataloging, and data classification for managing and understanding the data sets.
  • Scalability and flexibility: The Azure data platform empowers clients to scale and adapt their data infrastructure effortlessly.
  • Data monetization: Onboarding to Azure data platform as an Enterprise Data Warehouse enables data monetization through curated data insights.
  • Seamless integrations: Easy integration with data visualization and business analytics tools empowers business users to leverage data effectively.
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