big data engineering big data engineering

Big Data Engineering

Building Connected Data Supply Chains

The amount of data generated by businesses in an increasingly connected, digital ecosystem is mindboggling. While big data analytics is gaining traction across industries for generating meaningful insights that can guide decision-making, challenges such as identifying the right technologies for effective data management remain.

As companies progress on the path of digital transformation, they will generate more data across business functions. Orchestrating data from multiple sources becomes a requisite for businesses to make better decisions and increase their competitiveness. Hence, data is being continuously fed into these new architectures and platforms to enable insights-driven business transformation. Data architecture such as data lakes and schema-on-read database management systems are being adopted by the leaders for expanded capabilities and to support data democratization.

WNS’ big data engineering capabilities offer businesses the execution muscle to inform data strategies for deeper insight into the business, enhanced decision-making, improved customer experience and higher compliance and data security.

End-to-End Big Data Engineering Capabilities

  • Big data analytics Center of Excellence (CoE)

    - comprising chief data architects, data engineering leaders and seasoned big data solution architects

  • Big data analytics capability teams

    - to fast-track deployment of big data platforms

  • Data science and Artificial Intelligence (AI) CoE

    - to implement enterprise-wide AI / Machine Learning (ML) solutions

WNS End-To-End Big Data Engineering Capabilities

Data-led Offerings Driven by Proprietary Accelerators

  • Scalable and efficient cloud (AWS, Azure and GCP) and on-premise solutions for big data and data management
  • Intelligent enterprise data governance frameworks
  • AI and ML-enabled data quality, data migrations, MDM, and dynamic and intelligent data mapper pipeline
  • Data advisory and consulting
  • Data modernization
  • Intelligent cloud services
  • Self-served reporting services for cloud and on-premise solutions
  • Augmented analytics
  • Data security and compliance framework

WNS Advantage

  • Domain Knowledge: WNS specializes in and provides intelligent cloud services with scalable and efficient cloud and on-premise Big Data solutions

  • Accelerators and Frameworks: Expertise in Devops implementation using Airflow, Jenkins, Terraform, Cloud formation and Azure Devops

  • Flexible Engagement Models: Self-served and augmented analytics models for generating interactive reports both on-demand and dynamically

  • Agile Delivery Framework: Solutions are developed on Cloud technologies (AWS, Azure & GCP)

  • Partnerships with Leading Technology Vendors: Partnership with technology vendors such as AWS, Azure, GCP, Collibra and Alation