White paper

Achieve data quality on-the-go with event stream processing

Published: October 30, 2020

As banks modernize their data architectures to handle larger volumes of data that are changing and being used in real time, they need to ensure that data anomalies are identified and corrected as early in the process as possible. If unchecked, this results in poor data quality that hurts decision-making which can lead to costly errors.

To mitigate this risk, banking and financial services firms need to adopt strategies and solutions that capture data anomalies at the earliest possible instance and remediate them before the anomalous data enters further downstream systems.

Download this white paper to learn how to incorporate proactive data quality checks that are executed alongside event-stream processing activities.

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