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

Alternative Data Moves into The Mainstream Led by Business Insights, Geolocation and Pricing Data

Subscribe to our newsletter

Alternative data is moving into the mainstream, but not without caveats including incomplete datasets, poor quality, limited volume, unverified data and a lack of historical data for back-testing. Selecting valuable datasets in the proliferation of alternative data can also be challenging and calls on firms to focus on what answers they can get from the data that they can’t get elsewhere.

Webinar Recording: How to exploit the opportunities of alternative data

The adoption of alternative data in the trading environment was manifested in the results of an audience poll made during a recent A-Team Group webinar that discussed how to exploit the opportunities presented by alternative data. Some 67% of the audience members said their organisation is using alterative date to some extent, 27% to a small extent, and 7% to the greatest extent possible.

Dale Richards, board and strategy advisor for fintech and data providers, and a webinar speaker, said the the most popular alternative data types at the moment are business insights, geolocation and pricing data. James Cantarella, director of product strategy, news, data and analytics at Dow Jones, concurred, although he added that it will take time for alternative data to come standardised and as useful as more established news and credit card data. There will, however, be more types of data going forward, he said.

Use cases of alternative data range from identifying short-term signals to picking up breaking news on Twitter, or as Mark Ainsworth, head of data insights at Schroders, comments, ‘anything where there is money to be made’.

Featured Download: How to exploit the opportunities of alternative data

While the benefits of using alternative data include gaining unforeseen insights and competitive advantage, the challenges of sourcing and deploying the data successfully can be daunting. A second poll of webinar audience showed 60% of audience members noting integration as a key challenge, 30% unstructured data formats, a further 30% incomplete datasets, 20% unverified data, and 10% no archive for back-testing.

Will this this hold back progress? Highly unlikely, with 67% of audience members saying alternative data will become very important at their organisations over the next few years and 33% saying it will be critically important.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Unlocking value: Harnessing modern data platforms for data integration, advanced investment analytics, visualisation and reporting

Modern data platforms are bringing efficiencies, scalability and powerful new capabilities to institutions and their data pipelines. They are enabling the use of new automation and analytical technologies that are also helping firms to derive more value from their data and reduce costs. Use cases of specific importance to the finance sector, such as data...

BLOG

Modern Data Platforms Empower Critical Use Cases: Webinar Preview

No longer is it enough for financial institutions to be simply “on top” of their data management architecture. They need to be constantly looking for the next innovation to keep them ahead of the game in this fast-moving space. That’s why modern data management platforms are the focus of so many organisations at the moment....

EVENT

RegTech Summit New York

Now in its 9th year, the RegTech Summit in New York will bring together the RegTech ecosystem to explore how the North American capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...