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Modern Data Platform Transformation: From Disconnected Data to Strategic Insight
Learn how Keyrus helped a leading telecom company transform disconnected data into a unified, cloud-native platform with Azure & Snowflake, enabling scalable analytics, AI insights, and data-driven decision-making.
A leading telecommunications client recognised an opportunity to improve how data was unified, managed, and accessed across the business. Keyrus partnered with the client to design and deliver a modern, cloud-native data platform that consolidates key data sources, strengthens governance, and supports scalable analytics and informed decision-making.
What You’ll Learn
In this case study, you’ll learn how Keyrus helped the client:
Move from manual reporting and disconnected data sources to an integrated data environment
Deploy a modern cloud-native architecture using Azure, Snowflake, and automated pipelines
Establish a trusted platform for analytics, segmentation, AI experimentation, and future innovation
Build collaboration, governance, and documentation practices into the solution design
Ensure the platform can support significant data growth without architectural redesign
With collaboration and governance built in from the start, the platform now supports daily data refreshes, automated dashboards, enhanced insight generation, and long-term scalability. This transformation demonstrates how a modern data platform can turn data into a strategic asset when supported by the right architecture and operating model.
Download a free copy of this Case Study and see how Azure, Snowflake, and automation enabled unified data, accelerated reporting, and AI experimentation.