Events and Webinars

Our Event Series

Sommelier

Turntable

Featured Event
13 - 15 Sep
Booth #17, TradeWinds Island Grand Resort, St. Pete Beach | Florida
Our Latest Talk
By Randhula de Silva, Jo Aggarwal, Manas Fuloria
60 mins
About
nagarro
Discover more about us,
an outstanding digital
solutions developer and a
great place to work in.
Investor
relations
Financial information,
governance, reports,
announcements, and
investor events.
News &
press releases
Catch up to what we are
doing, and what people
are talking about.
Caring &
sustainability
We care for our world.
Learn about our ESG
initiatives.
Thinking about
becoming a Nagarrian?
talk to us
Welcome to digital product engineering
Thanks for your interest. How can we help?
 
success story

Implementing data mesh architecture to create a data-driven enterprise

Enabling self-service analytics, improving data scalability, and optimizing operational efficiency

challenge_icon
challenge

In a time of necessary agility and quick adaptability, the existing monolithic architectural pattern was slow to respond to changes and requests by the data consumers. The client sought an enterprise data platform that delivers high-quality data across different departments through a reliable, scalable, and optimized framework. It also wanted to enable self-service analytics and create a data-driven enterprise.

process_icon
solution

Nagarro’s data engineering team implemented data mesh architecture on the Azure platform. The team created sales, marketing, and inventory domain data products using infrastructure-as-code, leveraging data mesh principles managed by decentralized domain teams. A common data ingestion framework enabled extracting data from different sources and storing it in various data repositories such as data lakes and warehouses. The implementation made the data products self-serviceable to users. And a governance model was employed to govern and control all data assets. The team also trained users to adapt to the change toward a data-driven culture and improved data consumption.

solution_icon
outcome

Self-serviceable data products made stakeholders self-reliant and encouraged adopting a data-driven culture. It enabled faster scaling of data products and accessibility, leading to data adaptability and discovery within the organization. With self-serve infrastructure, continuous integrations, deployments, and monitoring, the time to market for business units decreased considerably.
Data ingestion and data sharing have become more scalable and consistent. Our solution helped the client observe significant cost savings, decreased data processing time, sharing of data products across the organization, and a 2x increase in operational efficiency.