About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

FactSet Addition of Data-Mapping to Snowflake Links Third-Party, Factset and Proprietary Data in Seconds

Subscribe to our newsletter

FactSet is meeting increasing market demand for rapid content integration, access and control by integrating its data-mapping solution, FactSet Concordance Service, into Snowflake’s cloud data platform. The integration allows investment professionals to quickly link third-party, FactSet, and proprietary content together in the Snowflake platform.

The data-mapping solution is scalable and can be used by joint FactSet and Snowflake clients looking to improve data governance and expedite the data mapping process. Users pass their metadata to FactSet through an API; FactSet then uses machine learning techniques to identify individual firms and other financial entities from the metadata and assign each a single identifier. These identifiers are then mapped to a universe of over 10 million additional entity records to ensure all data about a given firm is connected in one location, including company history and upcoming corporate actions.

FactSet says hundreds of records can be linked in seconds, eliminating the need for clients to undertake time and resource heavy data mapping processes. Jonathan Reeve, senior vice president and global head of content and technology solutions at the company, says: “The ability to connect market and reference data with alternative and unstructured content in one place offers a competitive advantage to any institution. Connected content allows firms to speed up their idea generation, it can also help them uncover risk and satisfy reporting requirements more efficiently.”

Matt Glickman, vice president, customer product strategy at Snowflake, says FactSet – one of the first capital markets data providers to join the Snowflake data marketplace early last year – is ahead of the innovation curve on the platform. He comments: “The FactSet Concordance Service is an important example of the new breed of data cloud services that customers will use to solve knowledge graph entity mapping, the next important data problem in financial services.”

Snowflake was founded in 2012 with a vision to reinvent the data warehouse by bringing together all data, users and workloads in a single service. The resulting cloud-built SQL data warehouse is a fully-managed service that can power what the company describes as ‘a near-unlimited number of concurrent workloads’.

Early this year, Snowflake announced a 300+% increase in the number of data providers on its data marketplace since April 2020. As well as FactSet, financial data providers include S&P Global Market Intelligence, MSCI, Exchange Data International, Crux, xignite, and ISS ESG.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Building a Semantic Layer for Your Enterprise Data Estate

The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics and value without having to use precise technical terminology. Data engineers achieve this through semantic layers,...

BLOG

Taming Data Complexity Through Semantic Layers: Webinar Preview

The complex data needs of modern financial institutions requires a level of technical mastery that is beyond the talents of most members of their workforces. Artificial intelligence and agentic automation, in particular, have hastened that evolution to such a degree that without such mastery across the enterprise, organisations leave themselves competitively vulnerable. The solution to...

EVENT

TradingTech Summit London

Now in its 16th year, the TradingTech Summit London brings together senior leadership across capital markets trading technology and market data. Join us to deep dive into key opportunities and challenges driving technological transformation across sell-side and buy-side firms.

GUIDE

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...