Digital Assets Report


Like this article?

Sign up to our free newsletter

SS&C launches exception management and workflow solution for Geneva

Related Topics

SS&C Technologies has launched a new Exception Management and Workflow solution for Geneva, which enables clients to pre-emptively detect, manage, prioritise, resolve, and report exceptions based on client selected data quality rules, thereby increasing efficiency and reducing operational risk.

Service providers, asset managers, and hedge fund managers depend on Geneva as their core technology platform, and until today, have relied on manual or external processes to ensure that the quality of data within Geneva meets their internal audit controls. With the new Exception Management and Workflow tool for Geneva, the quality assurance process for a variety of data is automated. The solution is highly customisable across exception queries, workflow processes, levels of approval, and portfolio classifications for dashboards, reporting, and metrics. The exceptions dashboard provides transparency to help review, reconcile, and remedy exceptions. It enables users to identify, prioritise, and act promptly on exceptions, thus increasing data quality and efficiency.
“This solution increases efficiency and reduces operational risk for our clients by eliminating manual processes and helping ensure our users maintain high data quality in Geneva,” says Robert Roley (pictured), Managing Director and General Manager of SS&C Advent. “Our clients rely on effective data management to produce timely and accurate information and that need continues increase over time. By introducing an innovative user experience and workflow around exception management, we are able to enrich to the data management process for our Geneva clients worldwide.”
Key features of the Exception Management and Workflow for Geneva include exception query tools, workflow configuration, an exception dashboard, a manager dashboard, and task management tools.

Like this article? Sign up to our free newsletter

Most Popular

Further Reading