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Every month, a significant number of transactions are unsuccessful due to customers exceeding their credit limits. Discover how is-land Systems and Confluent’s data streaming platform help to reduce unsuccessful transactions and deliver a better customer experience.
The analysis of monthly data warehouse reports reveals that certain customers with positive credit histories are eligible for an immediate increase in their credit limits. However, due to constraints within the current data infrastructure, calculating consumer spending and credit limits in real time is not feasible.
is-land Systems offers a solution that facilitates real-time communication and interaction with events by harnessing the value of real-time data. This capability allows for the immediate calculation of consumer spending and credit limits, thereby enhancing the customer experience.
Benefits of the solution:
Transform CDC data using KStreams to prepare it for subsequent analysis, calculate the customer's monthly spending, and determine if it has reached 70% of the limit threshold.
The credit limit model determines the new credit limit and writes the data back into Confluent, and a consumer application will send an SMS notification to customers.
Accelerating enterprise innovation to enhance customer experiences and reduce customer churn.
This use case leverages the following building blocks in Confluent Cloud:
Streaming Architecture
Data Architecture
Fully managed Debezium connector is used to capture real-time data from PostgreSQL and fully managed custom connector is used to integrate with credit card systems.
Join, enrich and aggregate data in real time to update credit limits for eligible customers.
Customers will be notified with changes to their credit limit.
Join, enrich and aggregate data in real time to update credit limits for eligible customers.
Data products include Txn_Enriched, Cust_Enriched, Txn_by_time_window, Update_Credit_Limit, and Notification_List, which can be used by downstream consumers.
Contact is-land Systems to learn more about this use case and get started.