Dremio for Financial Services
Fast, compliant insights with flexible, future-ready data lakehouse
solutions for finance fraud detection, risk mitigation, and more
Financial Services Companies Who Trust Dremio
Use Cases for Financial Services
Fraud Detection
Unlock the fraud detection process by combining real-time transaction logs with customer data. Reduce fraud losses and enhance security using AI-powered analytics.
TD Securities revolutionized data management leveraging Dremio to build out a data fabric.
Risk Management
and Compliance
Ensure compliance with global regulations like PCI DSS and Basel III by leveraging governed analytics to analyze credit exposure, liquidity risks, and operational vulnerabilities.
NewDay modernized on AWS with a PCI-compliant solution, enabling secure analytics and cutting costs.
Hyper-Personalized Banking
Deliver tailored financial products by analyzing unified customer profiles across CRM systems, apps, and branches in real time using AI-driven segmentation.
FactSet accelerated access to financial data by 20x, enabling faster investment decisions.
Portfolio
Analysis
Empower analysts with instant access to portfolio data for smarter investment decisions using unified views of market trends and risk assessments.
TransUnion enables data consumers to be self-sufficient and less reliant on IT, accelerating queries on petabytes of data without cubes or copies.
OVERVIEW
Data-Driven Innovation for Financial Services
Accelerate AI and analytics for fraud detection, risk management, and customer lifetime value analysis with Dremio's Intelligent Lakehouse Platform. Ensure governance, security, and self-service flexibility across hybrid environments.
Self-Service Analytics for Business Units
Dremio's open architecture and semantic layer enable finance, risk, operations, and business teams to access verified data directly within their preferred tools like Power BI, Tableau, and business applications without technical barriers. Teams work independently with a single source of truth for financial metrics, operational data, and reporting—accelerating decision-making while maintaining strict governance, audit trails, and compliance.
Unified Data
Connect to all your data—AWS S3, Azure Data Lake Storage, Oracle, and more—without data movement or duplication. Dremio’s advanced query federation and universal semantic layer let teams analyze data across lakes, catalogs, and databases in real time, breaking down silos and ensuring consistent, governed access.
Frictionless connectors and integrations across all your data, in the cloud and on-premises
Superior Performance & Intelligent Optimization
Automatically optimize query performance for fraud detection and analytics with Autonomous Reflections, which materialize frequently used data based on usage patterns. Iceberg Clustering dynamically reorganizes data within Apache Iceberg tables for faster queries and reduced compute costs. Teams eliminate manual tuning while ensuring sub-second query performance for large-scale financial datasets.
Intelligent Data Discovery & AI-Powered Access
Dremio's AI-Enabled Semantic Search lets users discover financial datasets, tables, and scripts using plain business language, reducing discovery time from days to seconds. The MCP Server enables AI agents to dynamically translate natural language into SQL queries and interact directly with your lakehouse, making banking data accessible without requiring SQL expertise.
Advanced Security and Governance
Ensure compliance with GDPR, PCI DSS, and Basel III using centralized governance tools like role-based access controls, audit trails, and data lineage tracking. Dremio’s Enterprise Catalog, powered by Apache Polaris, ensures secure, compliant data management across hybrid and multi-cloud environments.
Dremio's Intelligent Lakehouse Platform
The Dremio Intelligent Lakehouse Platform empowers organizations to modernize their infrastructure without disruption while enabling faster decision-making through unified access to critical data sources.
Learn More About Dremio
