How to build comprehensive customer financial profiles with Elastic Cloud and Google Cloud

What this post added

This post introduces a reference architecture for building comprehensive customer financial profiles by integrating Elastic Cloud and Google Cloud. It details the process of moving data from mainframes to Google Cloud using a Mainframe Connector, processing and enriching it in BigQuery, and then ingesting it into Elastic Cloud via Dataflow. The architecture also covers cloud orchestration from the mainframe and provides strategies for mainframe capacity planning, including remote dataset transcoding on Compute Engine VMs and data transfer via FICON and Interconnect. Specific use cases like customer experience, Customer 360, partnership management, cost optimization, and risk reduction are highlighted, with examples of Elastic's Graph feature for fraud detection.