J.P. Morgan’s Fusion data platform won Best Data Analytics Provider in the 2025 Waters Rankings — a list of the top 35 financial technology and data providers curated by WatersTechnology, a publication focused on financial services technology and data management.
Fusion allows users to access market data from multiple sources through a single application, giving clients a streamlined view of their activity. It also features analytic tools that provide quality and governance controls as well as insights into risks, exposures and more.
Helping investors manage performance and risk
WatersTechnology praised the platform’s ability to deliver users a high level of operational efficiency. It noted how standardizing disparate data sources and providing advanced tools help institutional investors make the most of their information.
The publication also praised the technology involved in Fusion’s creation, saying the solution “provides a scalable foundation for AI, ensuring secure and efficient data handling” while also integrating easily into existing tech stacks. “The platform’s flexible data distribution integrates into workflows, streamlining operating models and reducing vendor footprint, while simultaneously enhancing precision,” it noted.
The award comes at a time when investors’ portfolios are growing in complexity — even without accounting for the volatility and uncertainty that have hit markets. Given the significant growth in the private market, investors are having to work from multiple, decentralized data sets in order to gauge their overall position. As such, products like Fusion are becoming more critical as tools to manage performance and risk.
“Fusion enables bringing together disparate data points into a well-curated data shape. It then has very strong integration with its analytics partners, top-tier solutions that will deliver comprehensive performance analytics, risk analytics with a strong operating model, with a strong governance traceability that sits behind those results.”
Anthony Booth
Head of Fusion Analytics and Reporting, J.P. Morgan
Enhancing data transparency and simplicity
These kinds of issues are exacerbated by a lack of data standardization across the market, according to Anthony Booth, head of Fusion Analytics and Reporting at J.P. Morgan, who recently featured in a Market Matters podcast episode. He said that in trying to align all of the different time horizons, cash flows and assets that inform trading data, transparency can be a huge hurdle for clients. “It comes back to a data challenge of actually bringing together the right data through the right scale to run the analytics,” he said.
Building Fusion meant overcoming this challenge, but it also meant creating a solution that addressed an outstanding issue in the industry. Booth said that where the platform really helps is how it builds value on top of the unified data sets.
“One of the challenges that our clients have today is actually navigating the decision-making and coming up with a very focused solution,” Booth said. “And I think where Fusion comes into it is it starts to converge and simplify their operating model by bringing disparate data sets together with really comprehensive analytics reporting and data distribution capabilities.”
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