About the company
Industry: Financial services | Team size: 400 | Established in: 1999 | Headquarters: Mumbai
The customer is a leading hedge fund offering research-based solutions to its clients, which include institutional investors and multinational corporations.
The hedge fund specializing in equity capital markets is considered one of the leading financial advisors in India, with offices also in New Delhi and Bengaluru.
Background: A need to capitalize on dark data
In an ever-growing data universe and a rapidly changing investment landscape, hedge funds must capture and extract value from information, especially from non-traditional sources.
These unconventional sources include alternate and private sources, such as social media, transactional data, website data, and information from peers and networks.
This data often becomes dark data – largely unknown and unused. However, finding and attributing such data can help unlock hidden opportunities, thereby giving businesses a competitive advantage.
Managing multiple streams of information from public and private sources at scale was becoming an operational nightmare for the hedge fund because:
- The analyst team faced a data deluge – market landscape news and reports, market research, and updates from investors, partners, or competitors – leading to an information overload. A significant part of that data went untapped.
- Processing large volumes of research reports and real-time data from stock exchanges manually to create a knowledge graph was a herculean task.
- An ecosystem of disparate systems that weren’t fully connected and interoperable complicated information discovery and collaboration across geographies – sharing information across the hedge fund’s offices took days and involved multiple teams.
Since the research teams at the hedge fund spent more than 30% of their time sourcing and organizing information, the senior partners needed a way to optimize their existing information management systems.
The goal was to speed up decision-making and time-to-insight as they operated in an ecosystem where speedy interpretation of the right data is the key to business growth. In addition, possessing a competitive edge as a hedge fund makes it imperative for firms to set up proper, scalable procedures to create, maintain, and retain information.
That’s why an automated, unified information workspace that institutionalized dark data from diverse sources was the need of the hour.
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