Case Study: a banking entity achieves faster document search with Andersen’s data catalog solution

a banking entity cuts document search time to under 1 second with Andersen

The customer, a banking entity based in Switzerland, faced a significant challenge with its vast collection of poorly structured documents stored across various formats and repositories. This data storage chaos posed a threat to its growth plans. The vendor, Andersen, was enlisted to build an internal search system and data flow optimization catalog to resolve this.

Andersen implemented a solution using Python, Flask, PostgreSQL, and HDFS to create a unified data catalog with ETL processing. This system reduced information retrieval response time to less than one second and boosted user satisfaction to 97%. The solution also ensured the architecture could scale tenfold without encountering data storage issues.