Cloud Data, Analytics & AI

Data is essential in today's digital world, driving innovation and competitiveness. Artificial Intelligence (AI) extracts insights and automates decision-making, while the cloud provides scalable infrastructure for efficient data storage and analysis. Together, AI and the cloud enable businesses to capitalize on data for growth and operational efficiency in the digital era.

Data is one of the most valuable assets for a company, and it is necessary to build a clear strategy to manage data efficiently and make it accessible across the enterprise. Organizations can improve their data assets' utilization and functionality by leveraging cloud adoption and data platform modernization.

As enterprises modernize, most new applications will initially run alongside legacy applications. However, the complexity of databases, data lakes, application programming interfaces (APIs), dashboards, and greater employee access presents a growing challenge.

Virtusa's approach to Cloud Data Analytics & AI

Transforming the data to the cloud and enabling businesses to utilize enterprise data and analytics effectively.

Our Cloud Data & AI strategy epitomizes a holistic approach to spearheading innovation, agility, and value creation across your organization. By synergizing data, AI, and cloud technologies, we empower enterprises to unlock fresh avenues, optimize operations, and propel sustainable growth in today's rapidly evolving digital landscape.

Cloud Data & Analytics Services

Key tenets of Virtusa's approach

Data strategy and data maturity definition:

Use Virtusa tools and frameworks to build your data strategy and assess your data maturity. This process includes discovery, validation, and design phases to help plan solution design and roadmap. We have tools and frameworks for:

  • Right cloud selection for your data analytics needs and the best-fit remediation approach from options available
  • Right technology selection for data lake, data ingestion, processing, and delivery (real-time and batch), data warehouse/analytics storage, data visualization, and advanced analytics
  • Right analysis and inventory of your legacy database objects and code, greatly reducing the manual effort needed for discovery.

Data migration:

Seamlessly migrate large volumes of data to the cloud, leverage automated tools and processes to streamline the transfer, and minimize downtime and disruptions to business operations while maximizing resource utilization. The migration process results in a reliable data platform spanning diverse business segments, enabling value creation, enriching operational workflows, elevating customer and employee experiences, and propelling product and market expansion.

The code converter tool suite can automatically accelerate the migration of your extract, transform, and load (ETL) code to modern systems. It uses a common metadata layer and can output the required code to popular ETL tools and databases.

Data modernization:

Leverage cloud technologies to transform legacy data architectures into agile, scalable, and intelligent systems, driving innovation and competitive advantage. Establish a reliable and reusable suite of data products, expediting the time to insights (TTI) and facilitating data-driven decision-making throughout the organizational spectrum.

Data governance:

Ensure data stored, processed, and accessed in cloud environments adheres to regulatory requirements, industry standards, and internal policies, safeguarding data integrity, privacy, and security.

Data visualization:

Empower organizations to gain valuable insights from their data by leveraging scalable and interactive visualization tools hosted in cloud environments.

Artificial intelligence/machine learning (AI/ML):

Leverage pre-built machine learning models, training infrastructure, and data processing tools provided by cloud providers, empowering them to accelerate innovation and improve operational efficiency.

Generative intelligence (genAI):

Harness the power of large language models (LLMs) and genAI algorithms to generate novel content, create realistic simulations, and solve complex problems, revolutionizing industries and driving transformative change.

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