increase in data transparency
less data quality incidents
increase in data trust scores
Our client is an established provider of asset servicing, asset management, and wealth management solutions, with over 25,000 employees globally and $6 billion in revenue. They came to Keyrus for help with modernizing a legacy performance and risk statistics platform crucial to its High-Networth (HNW) and Ultra-High-Networth (UHNW) customers.
The challenge was to migrate the legacy system to a modern, cloud-based architecture solution to lower cost of ownership and to provide clients a better experience, better quality of data, and to enable customized self-service for users.
• Keyrus conducted a data maturity assessment to identify current state and define target state capabilities • We identified data governance personas and target state use case design across data quality, metadata management, and master/reference data management • Tool selection process via questionnaires and comparative analysis • Led work streams for data quality, metadata management, and master/reference data management to deliver minimum viable product (MVP) release • Keyrus team of data analysts & data engineers led a data lineage analysis for the legacy application to identify data elements from upstream sources
Keyrus was able to improve data governance and data quality, allowing the client to respond to regulatory reporting commitments in a faster and more accurate way. The process has enabled increases in operational efficiencies through establishing standardized definitions and data quality rules.
Talend is the global leader in big data and cloud integration solutions for data-intensive organizations. They offer solutions for data integration and management, master data management, data quality, application integration, big data, and cloud.
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