Client Success Stories

Solution: Implemented a comprehensive Hadoop Distributed Platform (HDP) to efficiently manage and process customer data at scale. The platform enabled enhanced data processing capabilities and delivered actionable customer insights, empowering the client to develop highly personalized marketing strategies and drive superior business outcomes.

Solution: Migrated customer clickstream behavioural data to a scalable data environment (CDH 5) with advanced analytics tools and workflows. This enabled real-time analysis of customer interactions across various channels, improving the ability to respond dynamically to trends and evolving customer needs.

Solution: Successfully migrated the Green Plum Clusters to CDP 7.1.9, integrating Hive, Impala, Kudu, Kafka, Spark, and Scala. This modernization led to true real time capability with 40% improvement in data processing speed and scalability, ensuring more reliable and efficient trading operations. With more than 24 PB of data and 1M+ per second processing speed, this has helped the exchange with significant capabilities to generate new growth oppurtunities

Solution: Transitioned Customers Teradata, Datastage, and Hadoop stacks to Google Cloud, optimizing performance and reducing costs by 50%. Post-migration, Customer reported a significant reduction in data retrieval times, enhancing customer service responsiveness.

Solution: Implementing a CDP-based Hadoop Big Data system for a leading small finance bank in India, aimed at modernizing their enterprise data platform with a capacity of 2 PB. The solution is designed to provide the bank with a competitive edge by enabling advanced analytics capabilities, driving significant operational efficiencies, and enhancing compliance, controls, and risk management frameworks.