Financial services

Microsoft Fabric for financial services

Microsoft Fabric brings risk, customer and transaction data into one governed lakehouse so financial services firms can report, manage risk and serve customers with confidence. Veratas delivers that platform end to end.

Industry context

Financial services data carries a heavy regulatory and governance burden

Financial services firms manage large, sensitive data estates under close regulatory scrutiny.

Banks, insurers and asset managers run core banking and policy systems, trading and treasury platforms, CRM, and a range of risk, fraud and finance applications. Customer and transaction data is duplicated across them, and reconciling it into a consistent view is slow and costly.

The consequences are significant. Regulatory reporting depends on data assembled from many sources, so submissions are labour-intensive and hard to evidence. Risk and fraud teams work from data that lags real exposure. A genuine customer 360 view is difficult to build, which limits service quality and growth. Data residency and access rules add further constraints.

Microsoft Fabric provides a governed foundation for this estate. Transactional and customer data lands in OneLake through Data Factory pipelines, transaction and event streams through Real-Time Intelligence, and the lakehouse becomes a single governed source. Purview enforces lineage, classification and access control, and capacity can be deployed in chosen Azure regions to respect data residency requirements.

Where it helps

What financial services firms build on Microsoft Fabric

Fabric supports the regulatory, risk and customer analytics that financial services firms rely on.

Regulatory and supervisory reporting

Model finance, risk and transaction data once in a governed OneLake lakehouse so regulatory submissions are consistent and evidenced. Purview lineage shows exactly how each reported figure was produced.

Risk data aggregation

Bring credit, market and operational risk data into one lakehouse for timely, consistent aggregation. Risk teams work from a single source, which supports principles such as those set out in BCBS 239.

Fraud and financial crime analytics

Stream transaction and event data through Real-Time Intelligence and apply Fabric notebooks to detect suspicious activity sooner. Financial crime teams gain faster, data-driven insight into emerging patterns.

Customer 360 and personalisation

Unify accounts, products, channels and interactions in OneLake to build a complete, governed customer view. This supports better service, more relevant offers and clearer conduct oversight.

Finance and profitability analytics

Combine ledger, product and cost data in the lakehouse for consistent profitability and performance reporting. Finance teams move from reconciliation to analysis on a trusted, shared data foundation.

How we deliver

How Veratas delivers Microsoft Fabric for financial services

We deliver Fabric as one accountable engagement, with governance and data residency designed in from the start.

01

Assess the data estate and obligations

We map your core systems, risk and finance platforms, and regulatory obligations, then design a Fabric architecture that meets data residency, security and reporting requirements.

02

Build the governed lakehouse

We land transactional and customer data through Data Factory and event streams through Real-Time Intelligence, then model a governed OneLake lakehouse with consistent, well-defined data domains.

03

Deliver reporting and risk analytics

We build Power BI on Direct Lake for regulatory, risk and customer reporting, so finance, risk and front office teams work from a single trusted and traceable set of numbers.

04

Govern and run the platform

We implement Purview classification, lineage and access control, then run Fabric as a managed service so the platform stays secure, compliant and audit ready as obligations change.

FAQ

Frequently asked questions

Quick answers to questions you may have. Can't find what you're looking for? Check out our full documentation.

Fabric runs on Azure, so capacity and OneLake storage can be deployed in the Azure regions you choose. That lets a firm keep regulated data within required jurisdictions while still using one unified analytics platform.
Yes. Fabric models finance, risk and transaction data once in a governed lakehouse, and Purview provides lineage and classification. Submissions draw on a single evidenced source, which makes regulatory reporting consistent and straightforward to audit.
Fabric uses Azure enterprise security, and Purview adds data classification, lineage and role-based access control. Veratas delivers to ISO 27001, so sensitive customer and transaction data is governed and protected throughout the platform.
Yes. Data Factory pipelines handle batch and transactional loads, while Real-Time Intelligence ingests transaction and event streams. This supports both periodic regulatory reporting and time-sensitive use cases such as fraud detection on one platform.
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Get started

Build a governed financial data platform

Book a discovery call to scope Microsoft Fabric for your firm. We will review your data estate, regulatory obligations and residency needs, and agree a practical path forward.