Azure DocumentDB (MongoDB-compatible) is presented as a platform for building Customer 360 solutions in banking. It consolidates fragmented customer data from core banking, CRM, loan origination, and other systems into a unified, queryable view. Key capabilities include MongoDB aggregation pipelines, $graphLookup for relationship mapping, vector search for AI-powered RAG workflows with Azure OpenAI and LangChain, real-time Power BI analytics, and banking-grade security (encryption, RBAC with Entra ID, private endpoints). The post also highlights up to 70% TCO reduction versus MongoDB Atlas, migration tooling from on-prem or Atlas, and a GitHub solution accelerator with sample schemas, pipelines, and dashboards to get started quickly.
Table of contents
Introduction: Transforming Customer Intelligence in Banking Copy linkWhy Customer 360 Matters for Financial Enterprises Copy linkHow Does This Make Your Job Easier? Copy linkThe Platform: Azure DocumentDB Built for Seamless Customer 360 Integration Copy linkSecurity & Resilience: Banking‑Grade by Design Copy linkCost & Operations: Why Azure DocumentDB Wins Copy linkMigration: From On‑Prem or Atlas, With Minimal Code Change Copy linkAI‑Ready Customer 360: Retrieval‑Augmented Generation (RAG) Copy linkReal‑Time Analytics with Power BI Copy linkClosing Notes & How Can You Get Started? Copy linkBlueprint for Customer 360: Try the Accelerator Today Copy linkSort: