Building the foundations of enhanced investment data analytics

By:  Van Nguyen

relaxing trader

Today’s savvy investors are interested in complex investment strategies that involve emerging asset classes and portfolios with a global exposure. This adds pressure to data management systems as investment managers seek to make the best decisions, provide timely reporting, and meet regulatory requirements.

In addition, investment managers face more competition and scrutiny than ever before and clients expect results to be delivered efficiently, affordably, and quickly. To meet this demand and make the most informed investment decisions, managers need access to the most accurate, complete, and up-to-date data; their tools must also effectively manage vast amounts of information across disparate solutions.

Ensuring data quality is an essential part to providing accuracy of data from one data source of reference. Many factors contribute to data inaccuracy, including human error or weak screen entry validation. Sometimes, data is inaccurate due to partially incomplete data (e.g. a lifecycle of a traded product may have different stages, like a derivative option trade that has not yet been exercised).  

An intelligent investment data management solution ensures data quality by consolidating data and pushing it through a high degree of validation checks. Many systems have an autonomous integration layer with a solid validation process – a built-in business logic that validates a wide range of different asset classes.

Anova from SS&C Technologies goes a step beyond; it uses data governance and workflow functionality to provide more validation and user control inside the investment data management solution. This provides definable rules to check the criteria of data and ensure that data is available for other dependencies in the workflow (e.g. a rule to check if specific data, such as valuations, has been passed at a specific time before performance and attribution analytics information can be produced). This reduces operational risk from inaccurate data results and ensures data quality. Anova provides definable data governance and workflow rules that are flexible and can change with your business demands.

The data governance framework within the Anova solution supports its performance and attribution capabilities. It is also used to manage data across its other functions, including data aggregation, IBOR, post trade compliance, and support for APRA in the Australian market. To learn more, request a demo or more information.

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