AquaQ and Alveo join forces in advanced data analytics for the industry
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AquaQ and Alveo join forces in advanced data analytics for the industry 02 June 2021UK Reporter: Maddie Saghir
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AquaQ Analytics and Alveo have created a new partnership in advanced data management and analytics for the financial services industry.
As part of this, Alveo has integrated its ‘Prime’ data mastering and data quality management solution with AquaQ’s kdb+ data capture solution, TorQ.
Building on AquaQ’s experience with TorQ and kdb+, Alveo and AquaQ have created bi-directional integration which allows customers to take mastered pricing and reference data from Prime into kdb+.
This integration addresses different use cases across the trade lifecycle including independent valuation, trading, liquidity assessment, execution quality monitoring and risk factor preparation.
According to Alveo, the cooperation builds on the two companies’ extensive experience in working with banks and asset managers globally.
Meanwhile, tick data histories and trade data kept in kdb+ can be accessed by Prime to provide further depth and context behind its independent valuation, risk factor creation or data quality management processes supported through its Ops360 user experience.
Ronan Pairceir, CEO and co-founder, AquaQ, comments: “We are pleased to work together with the Alveo team to help our customers address their financial data integration and analytics challenges.”
“Solid and scalable data integration with clear lineage and demonstrable data quality has rapidly become a must-have. Alveo’s strength in price and reference data mastering and integration complements our expertise,” explains Pairceir.
Mark Hepsworth, CEO of Alveo, adds: “We share clients around the world and AquaQ’s expertise in data science use cases and database technologies complements Alveo’s solutions. All business processes in financial services are becoming increasingly data-intensive and our cooperation addresses the requirements customers face in keeping abreast of mounting data volumes as well as processing requirements.”
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