Financial services institutions (FSIs) are under increasing pressure to keep pace with a number of significant industry changes, including expectations of higher-touch and more personalized customer experiences, a growing number of privacy and data protection regulations, increased cyber threats, and a rise in fraud. Those that can make use of data and insight at scale in real time (or near real-time) stand to differentiate themselves from competitors, and offer superior products and customer experiences.

Unfortunately, current databases and associated data services often break down under the strain of real-time data ingestion, analytics, and transactions. What’s needed to enable smarter, real-time decisions is a translytic data infrastructure, which is a hybrid approach that runs both transaction and analytical workloads at scale on an integrated SQL database.