Consumers now primarily interact with their banks using mobile applications. That’s great for banking customers, but the transition also introduces significant technical challenges for banks.
Redis Enterprise can help banks respond to the constraints of their legacy infrastructure and embrace the new interfaces. Our technology helps create fast, scalable, and reliable mobile banking applications.
Customers choose mobile banking because they want convenience. But application bottlenecks create “digital lines” that make customers wait during times of peak user demand.
Redis Enterprise can help banks bridge the gap. Our solutions enable faster, scalable, and resilient banking experiences.
An authentication server creates an authentication token after a user successfully enters their credentials. The application uses the token to confirm a user is validated. The token is stored in a token store for the duration of the session.
If the authentication token store fails, users cannot log in or access applications.
Applications need to track information about user identity and behavior, such as recent actions and settings, which it consults for security and recommendations. A session store holds this this critical session data. During an application session, the application reads from and writes this data to the session store exclusively-making speed and availability essential.
Mobile banking applications rely on user profiles, which typically contain uniquely identifying information as well as personalization data. The applications turn to this data for authentication and identification throughout the duration of a user session.
Banking customers are used to seeing an at-a-glance view that displays up-to-date information about their accounts. However, the data from which the dashboard draws is often siloed across multiple banking products, each with its own applications and databases. That’s slow. Users may have to wait to see important data.
Pre-fetching this data into Redis Enterprise allows apps to display key account highlights instantly.
Banking customers check their balances far more often than they make transactions. That means the data is read-mostly or read-only. That’s an opportunity to reduce the database footprint. Banking applications can pre-fetch read-mostly data in Redis Enterprise, while still writing to the primary database. Pre-fetching data reduces the burden on databases by offloading usage to Redis Enterprise to provide faster user experiences and reduced costs.