Capital Markets DataHub

A governed data foundation designed to unify fragmented capital markets data and deliver trusted analytics, risk, reporting, and AI-ready workflows.

Capital markets organizations operate across fragmented data providers, systems, and workflows.

DataHub provides a single governed foundation that connects, normalizes, and delivers data across investment, risk, operations, compliance, and AI systems.

By structuring data into a consistent workflow, DataHub ensures that every dataset used across the enterprise is reconciled, controlled, and analytics-ready.

AI-ready data for intelligent workflows.

DataHub enables AI-driven experiences by providing governed, structured datasets ready for large language models and agent-based workflows.

Through Fabric-native architecture, Copilot and AI systems can access trusted datasets while maintaining entitlements, lineage, and audibility.

AI research assistants powered by governed datasets
Agent-based workflows for research and analytics
Secure AI access respecting row-level security and entitlements
Automated insight generation from financial time-series data

Data where teams already work.

DataHub delivers governed datasets directly into the tools used by analysts, risk managers, and developers.

Users can access consistent data across Excel, Power BI dashboards, APIs, and custom applications without duplicating or moving datasets.

Excel add-ins for portfolio and risk analysis
REST and programmatic APIs for applications
Power BI dashboards powered by governed datasets
Secure entitlement-aware access across tools

Designed natively for Microsoft Fabric.

DataHub extends Microsoft Fabric with capital markets data models, governance controls, and operational workflows that Fabric alone does not provide.

By integrating directly with OneLake, DataHub ensures that datasets remain governed and accessible across analytics, AI, and operational workloads.

Fabric-native deployment architecture
OneLake data integration
Unified governance and lineage across workloads
AI and Copilot-ready data infrastructure

Discover and govern financial data sources.

DataHub provides a structured catalog of 200+ capital markets data providers and 10,000+ datasets, enabling rapid discovery, evaluation, and governed onboarding of financial data sources.

A purpose-built financial taxonomy helps investment teams quickly identify datasets for analytics, risk, operations, and investor reporting.

Catalog of capital markets data and service providers
Searchable taxonomy of financial datasets
Data lineage tracking from source to output
Governance controls for onboarding and approvals

Canonical models for complex financial data.

DataHub standardizes fragmented data using canonical capital markets schemas.

Normalization ensures that datasets from multiple providers, systems, and workflows can be reconciled and analyzed consistently across the enterprise.

Standardized financial data schemas
Cross-provider reconciliation
Consistent exposure and position modeling
Harmonized datasets across analytics platforms

Purpose-built for financial time-series data.

DataHub provides a high-performance analytics layer optimized for financial time-series data used across portfolio management, risk analysis, and reporting.

The analytics engine enables efficient querying, modeling, and analysis of large financial datasets.

Time-series storage optimized for financial data
Portfolio and exposure analytics
Scenario analysis and stress testing
Scalable analytics workloads within Fabric

Architecture Overview

From raw data to trusted decisions.