Case Study: Thomson Reuters accelerates M&A data integration with VaultSpeed

Thomson Reuters scales 11 data products with VaultSpeed

Thomson Reuters, a global information provider in the legal and tax sectors, faced the challenge of unifying a fragmented data landscape across over 100 business systems. This complexity was driven by continuous mergers and acquisitions and the need to modernize their analytics infrastructure to support AI-powered products. To address this, they partnered with VaultSpeed to implement an automated Data Vault 2.0 solution.

VaultSpeed provided the automation engine for Data Vault modeling and code generation on the Snowflake platform. This solution replaced manual processes, standardized data patterns, and enabled the team to efficiently absorb ongoing M&A activity. The results included the successful migration of legacy systems, with 11 core data products going live. VaultSpeed’s automation significantly accelerated delivery, provided the scalability to handle business change, and laid a governed foundation for trusted AI applications.

Thomson Reuters