Alveo launches DIY data modelling to help financial services firms onboard new data sources faster

Alveo, a leading provider of cloud-based market data management services, has announced the launch of new data modelling and data onboarding capabilities in its Ops360 platform. The new capabilities allow clients ‘own data analysts to graphically model, onboard and maintain new data sources directly from within Alveo’s Ops360 user interface, enabling them to achieve operational efficiencies.

The growing range of data sources required by financial services firms and the wide variety of new content in for example ESG continues to expand. Financial services firms require a reduced cost of change and a faster turnaround time to onboard and operationalise new content in areas such as pricing, security master, ESG, index data and corporate actions.

Neil Sandle, Chief Product Officer, Alveo, said: “The new data modelling capabilities enable end users to more rapidly onboard and more easily maintain integration with data sets This slashes the time to production and the cost of maintenance. Most changes in data vendor offerings come down to additional attributes and these can be easily handled by data analysts without the need for a data processing engineer. New loaders and new versions of data loaders only require loading of the metadata changes.”

The new capabilities in Ops360 are powered by Alveo’s underlying Business Domain Model Service and build on Alveo’s microservices architecture and containerisation which was released last year. In recent years Alveo has focused on improving business user self-service and the Business Domain Model Service is a key component of this.

Through its managed services and Data-as-a-Service offering, Alveo is also using the new capabilities in its customer operations to accelerate change management, improve data governance and as the basis for an intelligent exception handling process.

About Alveo

Alveo is the leader in market data integration and analytics solutions for financial services. Focused on optimising data flows for business user self-service, we provide cloud-native data aggregation and data quality management that enables clients to easily access trusted data while maximising their data ROI.

Through our managed services, we ensure that clients can smoothly onboard, prepare and validate data for use in operations, trading, investment management, pricing, risk, reporting and machine learning.

We service a global client base, and our award-winning technology provides easy integration into business user workflows and a proven platform for advanced analytics. Through combining deep domain expertise with the latest open-source technologies, we help financial institutions ensure high-quality data, optimise market data cost, and maximise productivity.