Title
LSEG unifies 30 data systems, reducing product development time with Fabric
LSEG unifies 30 data systems, reducing product development time with Fabric | Microsoft Customer Stories This is the Trace Id: fb4f8ef327d2ab0dd35cde126eb8…
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Company
LSEG (London Stock Exchange Group)
…er more about LSEG on LinkedIn , X/Twitter , and YouTube. Discover more details CUSTOMER LSEG (London Stock Exchange Group) PRODUCTS Microsoft Fabric OneLake Microsoft Purview Microsoft Copilot Studio Mi…
Country
United Kingdom
…t Studio Microsoft 365 SERVICES AND SUPPORT ORGANIZATION SIZE 10,000+ employees COUNTRY/REGION United Kingdom BUSINESS NEED Data-driven decisions INDUSTRY Capital Markets Share the story Ex…
Industry
Financial Services
…00+ employees COUNTRY/REGION United Kingdom BUSINESS NEED Data-driven decisions INDUSTRY Capital Markets Share the story Explore related stories /h2> "> Explore related stories Stories…
Problem
LSEG was dealing with petabytes of data across 30 systems and 1,200 datasets, spanning a variety of longstanding systems each with its own tech stack, distribution method, and data model, and wanted a more unified customer experience across its product offerings, since product instability would be an economy-wide issue given global reliance on LSEG's financial data.
…learning.” Dave Byrne, Group Head, Data Platforms, LSEG But behind the scenes, LSEG was dealing with petabytes of data across 30 systems and 1,200 datasets, across a variety of longstanding systems—each product having its own tech stack, distribution method, and data model. LSEG wanted to offer a more unified customer experience that ensured a consiste…
…ing, the company understood its undertaking went beyond customer satisfaction. “If our products aren’t stable and resilient, it is an economy-wide issue,” says Byrne. LSEG knew it needed a new foundation—one that could unify its data, scale to me…
Solution
LSEG partnered with Microsoft to co-engineer a unified data platform built on Microsoft Fabric, using Apache Spark on Fabric, Apache Airflow in Fabric, and Microsoft Purview to build scalable pipelines with embedded data quality checks, and OneLake for interoperability. The company is also building AI-readiness by hosting Model Context Protocol (MCP)-powered data in OneLake, enabling financial professionals to build custom AI agents via Copilot Studio.
…eLake allowed LSEG to consolidate its data into a single, governed environment. With Apache Spark on Fabric , Apache Airflow in Fabric , and Microsoft Purview, the team built scalable pipelines and embedded data quality checks directly into the development life cycle. Introducing Fabric did more than shift the technical approach of LSEG’s employe…
…ss LSEG is adopting AI to reimagine how financial services professionals work . By hosting Model Context Protocol (MCP)-powered data in OneLake and harnessing Fabric, LSEG has built an AI-ready foundation designed for speed, scale, and intelligence. This interoperation powers agentic workflows through Copilot Studio , enabling financial professionals to create and deploy custom AI agents directly into Microsoft 365 experiences. With 33 petabytes of trusted financial content and taxonomies readily available…
Business value
LSEG consolidated 30 systems, 1,200 datasets and 33 petabytes of data, reducing product development timelines for new data products from years to months, and accelerating launches such as its ESG and Fundamentals data products. LSEG processes around 80,000 files daily on Spark on Fabric, consuming approximately 280,000 capacity units per day, with month-on-month consumption growing more than 50%.
…ata products. Using Microsoft Fabric, LSEG is building a unified data platform, consolidating 30 systems, 1,200 datasets, and 33 petabytes of data to accelerate product development, improve data quality, and enable AI readiness. LSEG reduced product developmen…
…accelerate product development, improve data quality, and enable AI readiness. LSEG reduced product development timelines from years to months, delivering faster, cleaner data to empower customers—from global firms to indi…
…ing data and creating a new product happens in months. The scale is impressive: LSEG uses Spark on Fabric to process around 80,000 files daily, consuming approximately 280,000 capacity units per day. Usage is growing rapidly, with month-on-month consumption increasing by more th…
…nsuming approximately 280,000 capacity units per day. Usage is growing rapidly, with month-on-month consumption increasing by more than 50%, signaling the start of a transformative journey. With faster ingestion, improv…
Description
LSEG, a trusted data partner to 44,000 customers in more than 170 countries, partnered with Microsoft to build a unified data platform on Microsoft Fabric, consolidating 30 systems, 1,200 datasets and 33 petabytes of data. Using Apache Spark on Fabric, Apache Airflow in Fabric, Microsoft Purview and OneLake, LSEG reduced product development timelines for new data products from years to months; onboarding data and creating a new product now happens in months, accelerating launches such as its ESG and Fundamentals data products. LSEG processes around 80,000 files daily on Spark on Fabric, consuming approximately 280,000 capacity units per day, with month-on-month consumption growing more than 50%. The company is also building AI-readiness by hosting Model Context Protocol (MCP)-powered data in OneLake and enabling financial professionals to build custom AI agents via Copilot Studio.
…customers make informed decisions. This reputation for excellence has made LSEG a trusted partner to the world’s largest financial institutions, with 44,000 customers in more than 170 countries, underpinning the global economy with disciplined innovation and resilience. “T…
…ata products. Using Microsoft Fabric, LSEG is building a unified data platform, consolidating 30 systems, 1,200 datasets, and 33 petabytes of data to accelerate product development, improve data quality, and enable AI readiness. LSEG reduced product developmen…
…accelerate product development, improve data quality, and enable AI readiness. LSEG reduced product development timelines from years to months, delivering faster, cleaner data to empower customers—from global firms to indi…
Technology
Microsoft Fabric, Apache Spark, Apache Airflow, Microsoft Purview, OneLake, Model Context Protocol (MCP), Copilot Studio
…eLake allowed LSEG to consolidate its data into a single, governed environment. With Apache Spark on Fabric , Apache Airflow in Fabric , and Microsoft Purview, the team built scalable pipelines and embedded data quality checks directly into the development life cycle. Introducing Fabric did more than shift the technical approach of LSEG’s employe…
…ge becomes better, data trust becomes better, and data quality becomes better.” The open table format of Fabric and seamless interoperability with OneLake allowed LSEG to consolidate its data into a single, governed environment. With Apache Spark on Fabric , Apache Airflow in Fabric , and Microsoft Purview,…
…ss LSEG is adopting AI to reimagine how financial services professionals work . By hosting Model Context Protocol (MCP)-powered data in OneLake and harnessing Fabric, LSEG has built an AI-ready foundation designed for speed, scale, and intelligence. This interoperation powers agentic workflows through Copilot Studio , enabling financial professionals to create and deploy custom AI agents directly into Microsoft 365 experiences. With 33 petabytes of trusted financial content and taxonomies readily available…
Deployment options
cloud
…t to co-engineer a strategic, unified data platform built on Microsoft Fabric , a lakehouse architecture that could ingest, transform, and distribute data across clouds and formats. The goal: to modernize LSEG’s data infrastructure and accelerate time to marke…
AI capabilities
Agentic AI
…G has built an AI-ready foundation designed for speed, scale, and intelligence. This interoperation powers agentic workflows through Copilot Studio , enabling financial professionals to create and deploy custom AI agents directly into Microsoft 365 experiences. With 33 petabytes of trusted financial content and taxonomies readily available…
Capture details
- Captured
- 26 Aug 2026, 08:17 UTC
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- fetch-strip@1
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- 15085843bf30cb8f6f90fae903a56f17ff78c4e5a80aa475f23779fb0838fd75