LSEG unifies 30 data systems, reducing product development time with Fabric | Microsoft Customer Stories
Data fragmentation can limit your ability to innovate and respond quickly. This customer story shows how LSEG used Microsoft Fabric to unify 30 systems, 1,200 datasets, and 33 petabytes of data into a single platform. See how this approach improved data quality and reduced development timelines from years to months.
What business challenge was LSEG trying to solve?
LSEG was operating a very complex and fragmented data landscape. It managed 33 petabytes of data spread across 30 different systems and 1,200 datasets, with each product often having its own tech stack, distribution method, and data model.
This fragmentation created several issues:
- Inconsistent customer experience across products
- Longer product development cycles that could take years
- Difficulty maintaining stable, resilient services that global financial institutions rely on
Because LSEG’s data underpins critical activities—such as risk modeling, regulatory compliance, and investment decisions—for 44,000 customers in more than 170 countries, the stakes were high. Any instability or inconsistency in data quality could have economy-wide implications.
To continue being a trusted partner to hedge funds, investment banks, and other financial institutions, LSEG needed a unified data foundation that could:
- Simplify its architecture
- Improve data quality and trust
- Shorten time-to-market for new data products
- Scale reliably as data volumes and customer demands grow.
How is LSEG using Microsoft Fabric to unify and manage its data?
LSEG partnered with Microsoft to co-engineer a unified data platform built on Microsoft Fabric, using a lakehouse architecture to ingest, transform, and distribute data across clouds and formats.
Key elements of the approach include:
- Consolidation of 30 systems and 1,200 datasets into a single, governed environment
- Use of OneLake and an open table format to avoid multiple copies of data
- Interoperability with existing technologies such as Snowflake, Databricks, and SQL Server
- Use of Apache Spark on Fabric and Apache Airflow in Fabric to build scalable data pipelines
- Integration with Microsoft Purview to embed data quality checks and governance into the development lifecycle
Operational benefits LSEG is seeing:
- Better data lineage, which improves traceability and trust
- Higher data quality and consistency across products
- No duplication of data, reducing complexity and storage overhead
- A self-contained ecosystem that still works with the tools teams already know
On a typical day, LSEG now uses Spark on Fabric to process around 80,000 files, consuming about 280,000 capacity units. Usage is growing more than 50% month over month, reflecting how quickly teams are adopting the platform.
LSEG also uses the Autoscale Billing model in Spark on Fabric, which provides a pay-as-you-go approach. Compute automatically scales up and down with demand, giving LSEG:
- Maximum elasticity
- Zero idle capacity cost
- More control over spend for unpredictable workloads.
What business outcomes and AI opportunities has LSEG achieved with Fabric?
By moving to Microsoft Fabric, LSEG has seen clear improvements in both speed and quality of its data products, while also laying the groundwork for AI.
Key business outcomes:
- Product development timelines reduced from years to months
- Faster onboarding of data and launch of new products, such as ESG and Fundamentals data products
- Delivery of cleaner, more reliable data with centralized governance and improved lineage
- Ability to scale data processing so customers can access the data they need, even during volatile financial events
This gives LSEG a stronger competitive position, enabling teams to build and iterate on data products more quickly while maintaining trusted quality.
On the AI side, LSEG is using Fabric and OneLake to build an AI-ready foundation:
- Hosting Model Context Protocol (MCP)-powered data in OneLake
- Using Fabric to support agentic workflows through Copilot Studio
- Allowing financial professionals to create and deploy custom AI agents directly into Microsoft 365 experiences
With 33 petabytes of trusted financial content and taxonomies available in a governed environment, LSEG and Microsoft are reimagining how financial services professionals work—bringing insights and analytic models directly into the tools they use every day.
As an early adopter of Fabric, LSEG has also influenced product development, including optimized Spark workloads. This collaboration helps LSEG not just adopt new technology, but actively shape how the platform evolves to support future financial services use cases.
LSEG unifies 30 data systems, reducing product development time with Fabric | Microsoft Customer Stories
published by Definitive Solutions
Definitive Solutions was founded in 1999 by Peter Meade who has over 30 years in the IT industry. We deliver IT managed services, cloud and security solutions to our SMB and Enterprise clients throughout Ireland and Internationally.
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