A multinational telecom provider needed an integration solution to provide data to their new Campaign Management System (CMS).
The solution should be able to efficiently manage millions of records on a daily basis and provide an accurate snapshot of the customer base, providing comprehensive insights across various dimensions of the Business.
It should support both real time and batch data loading depending on the campaign scenario and objective. In both cases the information should be up-to-date and supplied in a timely manner.
Given the multi-company nature of the effort, close collaboration was essential.
To enhance management and throughput, Neurocom data engineering team came up with a modular ETL (Extract, Transform, Load) integration design. This design approach enables efficient handling of data by breaking it down into manageable modules, improving overall system performance.
In order to meet the demand for real-time information, the solution incorporates powerful Big Data technologies such as Apache Spark and Apache Kafka. These technologies provide robust frameworks for processing and analyzing large volumes of data in real time, ensuring timely availability of up-to-date information.
By leveraging these cutting-edge technologies, the solution is equipped to handle the challenges of real-time data processing and deliver the required level of responsiveness to meet the organization’s needs.
It empowers businesses to swiftly respond to subscribers’ actions by leveraging its real-time capabilities. This enables prompt reactions to customer interactions, enhancing the overall customer experience.
The ETL process is executed on a daily basis, ensuring that the CMS is continuously supplied with the latest and most up-to-date information. This data integration process is seamlessly performed with minimal disruption to the Data Warehouse, allowing for smooth operations and uninterrupted access to valuable data.
To gain deeper insights into customer behavior, a comprehensive Customer Analytic Record infrastructure has been meticulously constructed within the Data Warehouse. This infrastructure serves as a robust foundation for analyzing and understanding customer behavior, enabling businesses to make data-driven decisions and unlock valuable insights that drive growth and success.