Compliance teams that implement this capability will have deeper insight into trading and surveillance activity to extract additional insights and context for market abuse investigations. Additionally, data scientists can benefit from normalized data access to fuel innovation initiatives. Created in collaboration with Nasdaq clients, the data discovery technology is already operating in multiple firms.

While the data discovery capability is initially focused on delivering value to the Nasdaq’s surveillance community, it will be rolled out to other Nasdaq market technology platforms beyond surveillance over time to unveil additional insights when analyzing data across siloes.

“Data is and always will be the key source for decision making for an organization - how data is unlocked, processed and utilized is crucially important,” said Valerie Bannert-Thurner, Senior Vice President and Head of Buy-Side and Sell-Side Solutions, Market Technology, Nasdaq. “We believe our new capability opens doors for our trade surveillance clients to tap previously underutilized data to further enhance their operations, advance their surveillance, as well as differentiate and empower their business strategy.”

For many firms, normalization of trade- and compliance-related data across multiple venues is cumbersome, while the process of extracting the right data sets at the right time for the right persona is both time-consuming and resource intensive. Through an intuitive user interface and powerful API, data access hurdles for compliance and data science teams can be overcome.

The data discovery capability assists with several trade surveillance use cases:

Regulatory inquiries - allows access to extensive trading data for rapid response to regulatory or exchange initiated inquiries
Data reconciliation - allows access to normalized trading data across multiple asset classes and venues for use in data audits and reconciliation for regulatory compliance including MiFID II
Case reviews - provides new data investigation capabilities to expeditiously identify activity patterns over time and across securities and markets to aid investigation of sophisticated market abuse cases
Data science access - supports the exploration of targeted data sets, aggregations and behavioral indicators for use in internal data analysis projects by data scientists and innovation teams