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

A-Team Insight Blogs

BlackRock Taps Panopticon for “Big Data Challenge”

Subscribe to our newsletter

Investment manager BlackRock is tapping Panopticon for its suite of information visualisation products, including its Developer SDK for Java and .NET, the Panopticon EX enterprise application and the Panopticon Rapid Development Kit.  The tools will allow BlackRock to deploy Panopticon Treemap, Heatmap and other interactive data visualisation tools to support its internal operations and in client-facing applications.

BlackRock also plans to incorporate Panopticon into its Aladdin Enterprise Investment System, a platform that combines sophisticated risk analytics with portfolio management, trading and operations functions.  Aladdin is used internally at BlackRock and provided to over 45 external clients through BlackRock Solutions.

Jeffrey Dean, director of high frequency data & analytics at BlackRock, says: “We fully recognise the need for real-time access to trading, risk and market data in all of our operations.  Panopticon is the only data visualisation vendor in the market capable of supporting our requirements, which include the ability to visualise data from CEP engines, real-time message queues and tick databases as well as traditional relational data repositories.”

Richard Wilkinson, SVP Americas, Panopticon, notes: “BlackRock epitomises the big data challenge in capital markets applications.  Panopticon allows users to take massive quantities of tick, time series and trading data to quickly understand the performance of trading operations.  Visualising Transaction Cost Analysis (TCA) and real time performance analytics provides insights where data volume and velocity would previously drown out exposure and opportunity alike.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Modernising Equities Trading Infrastructure: Architecture, Resilience and the Economics of Change

Equities markets are entering a more distributed, always-on phase. Liquidity is fragmenting across venues and geographies, trading hours are extending toward 24/5 and beyond, and market data volumes, investor expectations and competitive pressure are all rising at once. Many of the platforms that still underpin the equities industry were built for a different era –...

BLOG

What the 2026 TradingTech Insight Awards USA Reveal About the Direction of the Trading Stack

The trading stack that North American capital markets ran on five years ago is not the one they run on now. Front-office systems that once stood alone are being asked to talk to one another. Data that was once simply delivered is now expected to drive decisions. And the question vendors hear from buy-side and...

EVENT

Data Management Summit London

Now in its 17th year, Data Management Summit (DMS) London returns In April 2027, to explore how to use data and AI to drive measurable business outcomes reliably, repeatedly and at scale.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...