Real-time personalized banking with event stream analytics
Deploying event stream analytics for hyper-personalized marketing communication and real-time inbound campaigns.
4 mln+
project outcome
Low-code
delivery indicator
Real-time
technology scope
Business Challenge
The organization needed to modernize a critical data environment while keeping daily operations stable and predictable. The project focused on real-time personalized banking with event stream analytics.
Goldenore had to combine reliability, low operational risk, and delivery control across technologies such as Oracle Stream Analytics, Apache Kafka, Apache Spark.
Solution Delivered
Goldenore designed and implemented a solution based on Oracle Stream Analytics, Apache Kafka, Apache Spark, matching the architecture to the client's operational and security requirements.
Architecture and preparation
The target architecture, migration path, and operating model were planned around business continuity and data integrity.
Implementation and integration
Core platforms and data flows were configured, integrated, and tuned for the required performance profile.
Validation and rollout
The solution was verified against consistency, availability, and operational readiness criteria before final rollout.
Project Results
Improved continuity and availability
The new architecture reduced operational risk and helped keep critical systems available during and after the project.
Faster access to trusted data
Users and downstream systems gained more timely, consistent data for reporting, analytics, or operational work.
Stronger foundation for growth
The environment became easier to scale, maintain, and extend for future business and technology initiatives.
Facing a similar challenge?
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