Hexaware Recognized in Gartner Magic Quadrant
Hexaware Recognized in Gartner Magic Quadrant
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Case Study
Hexaware implemented Markit EDM to unify siloed financial data achieving $10k monthly cost savings per security request and reducing analyst effort by 10%.
The client is a leading outsourced chief investment officer (OCIO) partner and global investment solutions firm providing a wide range of investment capabilities to institutional investors, financial intermediaries, and individual investors around the world. The client has over $1 trillion in assets under advisement and $288.3 billion in assets under management for its customers in 32 countries. Headquartered in the US, the client has offices in 19 cities around the world, including London, New York, Toronto, Sydney, Tokyo, and Shanghai.
The problem faced by the client:
What the client needed:
Consolidation and integration of data for the following feeds:
Security, Position, Transaction, Trades, General Ledger, Tax Lot, Forward Currency Contract, Net Asset Value (NAV), Price, FX rates, Adjustable-rate Mortgages ( )data, Over-the-counter (OTC), Investment Book of Records (IBOR), etc.
Multiple data sources added to the complexity and compounded security risks for the client. A centralized single solution can ensure consistency across all the distributed data sources. Hence, Hexaware decided to have a single data source by implementing an EDM (Enterprise Data Management) platform.
We replaced the client’s multiple data hubs with a single EDM platform that comprised a 5-layer architecture.
User groups that benefited
Hexaware helped a leading investment management firm tackle its data management challenges and improve operational efficiency. The client consolidated and integrated their data sources by implementing an Enterprise Data Management (EDM) platform, eliminating silos and enhancing reporting capabilities. Hexaware’s layered approach, including Markit EDM Warehouse and Core Matcher, brought significant benefits such as cost savings, reduced effort, faster execution times, and improved data availability. The investment division, risk metrics, portfolio managers, research analysts, and finance divisions were among the user groups benefiting from this successful data transformation.