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

Upcoming Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

Date: 20 May 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining...

BLOG

Data as a Product: From Collection to Control in Modern Markets

For much of the past decade, data strategy in capital markets focused on accumulation. Firms invested heavily in market data feeds, alternative datasets, data lakes, and analytics platforms. Yet despite this abundance, many organisations have still struggled to answer basic operational questions with confidence, particularly during periods of market stress. The problem is no longer...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

Institutional Digital Assets Handbook 2024

Despite the setback of the FTX collapse, institutional interest in digital assets has grown markedly in the past 12 months, with firms of all sizes now acknowledging participation in some form. While as recently as a year ago, institutional trading firms were taking a cautious stance toward their use, the acceptance of tokenisation, stablecoins, and...