IBM Scalable IoT and Marketing Platform Case Study

This case study details the development of a scalable IoT and marketing platform by IBM for a Fortune 500 customer. The customer previously utilized a suite of local market solutions for managing products, consumers, and marketing campaigns. The objective was to merge these segmented functions into a unified global platform to enhance consumer engagement and analytics. The document outlines the technical challenges faced, including data segregation for GDPR compliance, scaling issues, and the need for low latency search capabilities. IBM's solution architecture leveraged Apache Cassandra for its scalability and performance, while Apache Spark provided necessary analytics capabilities. The involvement of Instaclustr was crucial in addressing these challenges, particularly in configuring the Apache Cassandra cluster and ensuring compliance with audit requirements. The case study concludes with insights into the operational visibility and performance tuning achieved through collaboration with Instaclustr, ultimately leading to a successful implementation of the platform.