Background
The Bank of New York Mellon Corporation (BNY), one of the world's leading investment management firms, sought to empower its distribution teams and asset managers with deeper insight into predictive market demand drivers. The project aimed to create a sophisticated analytics platform that could provide clear visibility into sales momentum across mutual funds and exchange-traded funds (ETFs) in the U.S.
The challenge was to translate complex datasets into actionable intelligence for decision-makers, enabling asset managers to identify opportunities, anticipate shifts in demand, and strengthen their competitive positioning in a highly dynamic market.
Key Technology Used
React:
Served as the foundation for building a dynamic, component-driven user interface, ensuring responsiveness and modularity for complex data visualisations.
Redux Toolkit:
Enabled efficient and predictable state management, ensuring seamless synchronisation across charts, maps, and data-driven UI components. This was critical for handling large and continuously updating financial datasets.
React Chart:
Was employed to create clear, interactive data visualisations, allowing asset managers to explore distribution trends, market penetration, and momentum with precision and ease.
Mapbox:
Powered geographic distribution analytics, providing interactive, high-performance maps that visualised fund sales and market share shifts across different U.S. regions. This spatial perspective was crucial for identifying regional opportunities and patterns.
Emotion:
Provided a flexible and performant styling solution, enabling the creation of a consistent design system while ensuring maintainable and scalable component styling.
TypeScript:
Ensured type safety and greater developer confidence, reducing runtime errors and improving code maintainability across the analytics platform.
Outcome
The launch of the analytics platform enabled interactive segmentation of U.S. markets for mutual funds and ETFs using Mapbox, presenting billions of dollars’ worth of data in an intuitive, easy-to-understand way, with improved clarity and accessibility for asset managers.
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