Services

Analytics

Drive growth and enhance data storytelling with
intelligent solutions and data-driven insights

As analytics becomes more widely used for competitive advantage and growth, there is a greater focus on privacy, bias removal, and explainability. Ethical considerations such as discrimination and responsible data use are also gaining attention. Hybrid platforms that combine cloud-based and on-premise analytics are becoming more popular due to their scalability and flexibility.

However, only a small percentage of models are successfully transitioned into production. To improve this, companies with legacy systems and technical debt may need help implementing modern analytics solutions that integrate with existing business processes. Maintaining scalability and performance while processing large amounts of data can be challenging, and using sensitive data for analytics raises concerns about security and privacy.

Virtusa can assist in enhancing data storytelling capabilities, improving scalability and flexibility throughout the analytics development process, and pushing the boundaries of what is currently possible while remaining within the framework of Information security and regulations.

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Our capabilities

Data Analytics Services - Capabilities
  • Data and analytics strategy and consulting
    We work with clients to understand their business goals and challenges so we can develop a customized strategy and roadmap to help them implement machine learning solutions. 

  • Platform-based approach for data and analytics
    Industry-specific and agnostic platforms provide a standardized, streamlined, and cost-effective way of building data and analytics solutions for accelerated time to delivery.

  • Technology agnostic solutions
    Our strong partnerships with multiple partners such as AWS, Google Cloud, Azure, Tableau, SAS, and IBM enable us to deliver solutions across multiple technology stacks. 

Our accelerators, or production models used to address common errors during production for artificial intelligence and machine learning (AI/ML) operations, ensure that models are monitored in production.

Adopt a cloud and platform-based analytics approach to reduce costs and increase efficiency

  • Adopt a cloud-based data storage and analytics approach to enable fast and easy access to data and reduce infrastructure costs.
  • Establish a clear data governance framework to ensure data quality, security, and compliance.
  • Create a single source of truth by establishing a master data management strategy and ensuring that the data is accurate, complete, and consistent across all systems. 
  • Consider adopting a platform-based analytics and insights implementation approach to provide a consistent and scalable infrastructure for development, deployment, and management. 
  • Build and leverage reusable assets, such as data sets, to streamline, develop and accelerate time to market. This will also help reduce costs and increase analytics and insights development efficiency.
  • Leverage data visualization tools to help stakeholders quickly and easily understand insights and trends.

 

MLOps
Unlock your full ML model potential with industry standard MLOps solutions tailored to your business needs.
Insights
Unlock your full data potential with industry-standard analytics and BI solutions.

Ready to begin your Analytics adoption journey?

Speak to an expert, request an assessment, demo our solutions.

 

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Frequently Asked Questions

1. What is the primary focus of the analytics service?

Analytics empowers organizations to transform data into actionable insights and create compelling data storytelling that drives growth. By enhancing scalability and flexibility across the analytics development lifecycle, Analytics enables businesses to overcome challenges like data privacy, bias mitigation, and model explainability. This approach helps organizations transition their legacy systems to modern, scalable analytics frameworks that integrate seamlessly with existing business processes.

The service is structured around several core capabilities:

  • Data and analytics strategy and consulting: Developing customized roadmaps to align with business goals.
  • Platform-based approach: Utilizing industry-specific and agnostic platforms for cost-effective and rapid solution building.
  • MLOps: Industry-standard solutions to unlock the full potential of machine learning models.
  • Insights: Standard analytics and business intelligence (BI) solutions to maximize data potential.

We adopt a technology-agnostic approach, leveraging strong partnerships with major platforms to deliver solutions across multiple stacks. Key partners include AWS, Google Cloud, Azure, Tableau, SAS, and IBM.

Virtusa Helio enhances analytics by providing a suite of AI-native services that accelerate the adoption of Generative AI. It helps organizations:

  • Helio imagine: Identify high-value data use cases.
  • Helio organize: Establish robust data governance and "center of excellence" frameworks.
  • Helio create: Build accurate AI models that integrate with analytics platforms.
  • Helio realize: Ensure sustained value through continuous model monitoring and performance benchmarking in production.

Adopting a cloud and platform-based approach enables organizations to reduce infrastructure costs, provide rapid access to data, and establish a single source of truth through master data management. It also facilitates the use of reusable assets to streamline development, accelerating time-to-market and increasing overall efficiency.