Cognos Challenge on Big Data IBM Cognos is a traditional business intelligence product launched years ago, supporting multiple data sources and providing complete and stable functionality. It is one of the mainstream online analytical processing (OLAP) products and is widely used in financial sectors such as banking, insurance, and securities. Many financial institutions built their first-generation data warehouses based on Cognos, generating a large number of multidimensional analysis reports from transaction records for use by business and management personnel. With the adoption of web-based channels, marketing, and operational methods, organizations have seen explosive growth in data volume as their business expands rapidly. The legacy Cognos technical architecture lacks efficiency and cost-effectiveness in performing OLAP analytics over ultra-large data sets. Its technical bottleneck also brings additional complexity and workloads to development, operations, and maintenance.