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

A-Team Insight Blogs

FactSet Sets Out Development Plans for Data Exploration Platform

Subscribe to our newsletter

FactSet plans to roll out additional elements of its cloud-based FactSet Data Exploration platform that will deliver a fully hosted application production environment over the next six months.

The company introduced the platform on Microsoft Azure this summer offering content from the Open:FactSet Marketplace as well as programming tools including Microsoft SQL, RStudio and Python. Its aim is to allow users to evaluate financial and alternative data sets and build investment applications efficiently without the need to invest in IT infrastructure to test and adopt new datasets.

Two months after the introduction of Data Exploration, which can be used by clients with or without FactSet terminals, Rich Newman, senior vice president and global head of content and technology solutions at FactSet, says the platform is gaining interest. This is coming from large buy-side asset managers and hedge funds, as well as sell-side investment banks and advisory firms.

The company plans to add more datasets including alternative data to Open:FactSet Marketplace for use in Data Exploration, although Newman notes the need to scrutinise all data before it is brought into the marketplace and integrate the data to provide a single data environment.

The platform’s roadmap moves on from offering access to data to providing a data testing environment in the cloud, then a research environment to which firms can add their own data, and finally a production environment fully hosted in the Azure cloud and managed by data scientists building investment applications.

Newman concludes: “The platform is designed to help firms build investment strategies that generate alpha. It supports speed of development by moving production into the cloud, while Azure provides unlimited capacity for clients to test data.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Role of Data Fabric and Data Mesh in Modern Trading Infrastructures

The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...

BLOG

LSEG and Microsoft Deepen Partnership to Power AI Agents with Financial Data

The London Stock Exchange Group (LSEG) and Microsoft are taking the next step in their strategic partnership, announcing a plan to transform how financial services professionals interact with data by embedding LSEG’s vast datasets into Microsoft’s AI ecosystem. The collaboration will enable users to build and deploy customised AI agents, or ‘Copilots,’ within their daily...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

Hosted/Managed Services

The on-site data management model is broken. Resources have been squeezed to breaking point. The industry needs a new operating model if it is truly to do more with less. Can hosted/managed services provide the answer? Can the marketplace really create and maintain a utility-based approach to reference data management? And if so, how can...