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Mimacom es partner oficial de Apache Kafka. Nuestras certificaciones avalan nuestro profundo conocimiento en el ecosistema de Confluent y Kafka.
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In the finance industry, many use cases have surfaced for deploying event streaming with Apache Kafka. These encompass mission-critical transactional workloads such as payment processing or regulatory reporting, as well as big data analytics projects that leverage Machine Learning, data lakes, and more.
By capturing and processing transaction data from multiple channels such as ATM transactions, online banking activity and card payments in real time, Kafka enables banks to immediately detect and prevent fraudulent activity to minimize financial losses and protect customer accounts.
Kafka can streamline the payment processing pipeline by ensuring that payment events are processed reliably and in the correct order. This helps in maintaining data integrity and consistency across different systems involved in the payment processing workflow.
Kafka can integrate data from various customer touchpoints, providing a comprehensive and real-time view of customer interactions and behavior. This helps in personalized marketing, improving customer service, and enhancing the overall customer experience.
With the increasing volume and velocity of data generated in banking operations, Apache Kafka can improve operational efficiency and scalability. By ingesting and processing data streams from core banking systems, transaction processing platforms, and other banking applications, Kafka enables banks to streamline data flows, automate processes, and scale their operations to handle growing data volumes.
Kafka can help in collecting and processing large volumes of data required for risk management and compliance. It ensures that all relevant data is available in real-time for analysis and reporting, aiding in meeting regulatory requirements.
Kafka can act as a central hub for integrating different core banking systems, ensuring seamless data flow between various subsystems. This integration supports real-time updates and synchronization of data across the bank's IT infrastructure.
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