Redis Enterprise para servicios financieros

Redis Enterprise provides the high write throughput and multiple data models needed to keep user profiles and account information updated in real time for mobile banking, personalized offers, log-in authentication, account dashboards, customer 360 experience, and more.

Detecting fraud is becoming more difficult as applications and customer data become increasingly distributed. Redis Enterprise enables financial services firms to leverage AI/ML models for real-time transaction risk scoring, examine patterns across transaction histories, perform geospatial analysis, and check transactions against known fraudulent patterns with probabilistic data structures.

Collecting, storing, and processing large volumes of high-variety, high-velocity data presents complex challenges—especially given that responsive, timely, and accurate data-driven decision making is core to financial services. Redis Enterprise provides real-time data collection and enables analysis of any data, including sentiment, price fluctuations, geospatial, SEC 10-K forms, sales, weather and satellite data to instantly inform your trading algorithms, risk calculation engines, investment recommendations, personalized offers, and more.

Digitization, automation, remote work, and fintech partnerships have created new cyber risks and single points of failure. Risk management is critical in addressing cyber threats, identity theft, fraud, and automated financing – not to mention the inherent financial risk in asset management and investing. Redis Enterprise enables financial services firms to perform more frequent financial risk analysis, close fraud case investigations with fast search, comply with KYC regulations, and enable granular access management.

Open banking is both a regulatory attempt to address data hoarding in financial services and a response to customer demand to share their data with other providers. The foundation of the open banking revolution is the data, databases, standards, and open APIs that make the free flow of data between banks, third party service providers, and consumers possible. From PSD2 to BIAN, serverless to cloud-native MACH architectures, Redis Enterprise provides the underlying modern data stack that can enable banks to deliver the required data with sub millisecond latency, leverage Open Banking standards to develop new services and business models, and future-proof themselves against new standards.

Caching decreases application response times by serving frequently needed data from an in-memory cache instead of making calls to a database with network-attached persistent storage. Redis Enterprise provides enterprise-grade caching with expiration and eviction policies to efficiently manage cache objects, global distribution with Active-Active replication, and virtually unlimited scale.

Storing user session data enables mobile banking applications to remember user identity, login credentials, and personalized information, while making sure that application response times are as fast as possible for users. Redis Enterprise speeds session management with support for extremely large datasets using Redis on Flash and data-persistence options that don’t impact performance.

Redis Enterprise provides a data ingestion tool and can act as an in-memory query accelerator in front of operational and analytics databases to provide real-time decision making. With support for most data structures providing the needed pre-sorting in-memory, Redis delivers dynamic querying over millions of records at sub-millisecond latencies.

JSON is a high-performance NoSQL document store that allows developers to build modern financial services applications. It provides native APIs to ingest, index, query, and run full-text and fuzzy search on JSON documents at millions of operations per second with sub-millisecond response times.