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InterSystems Data Studio in Financial Services

Product Data Sheet

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Data Access for All in Financial Services

Business leaders across financial services—from asset management firms and banks to data and analytics providers—struggle to access unified, timely data spread across applications, data feeds, data warehouses, data lakes, and data marts. Often, a request for data triggers a lengthy development cycle that slows decision-making. As firms accelerate AI adoption, access to accurate, trusted, well-governed data has become even more critical because AI initiatives depend on data that is timely, contextualized, and available across both structured and unstructured sources.

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InterSystems Data Studio™ offers a better approach to establishing a unified data foundation that delivers the right data to the right user at the right time, in a secure and controlled environment.

Unlike traditional approaches, Data Studio does not require firms to provision, integrate, and maintain multiple solutions that increase cost and complexity. Instead, it provides a unified environment for connecting, integrating, transforming, governing, modeling, and analyzing enterprise data.

Data Studio includes a library of technical and industry-specific data connectors, features to build and manage reusable data models, and generative AI tools that accelerate the development of AI workflows and agents directly within financial services data environments. With these embedded capabilities, users gain access to interactive assistants that make it easier to understand, navigate, query, and visualize structured and unstructured data.

The Right Data to the Right Users
at the Right Time

Data Studio simplifies data access for all consumers, from business users to systems and applications. By serving both business users and consuming systems, Data Studio helps firms reduce handoffs, improve consistency, and deliver trusted data where it is needed most.
Business Users
• Front office
• Risk
• Product
• Finance and corporate strategy
• Quants, data scientists, developers
Systems and Applications
• Risk and performance models
• RegTech applications
• Reporting applications
• Trading systems
• AI/ML models

InterSystems Data Studio in Financial Services Diagram

Key Features

Low-code, self-service solution
Self-service solution enables data analysts, stewards, and engineers to access and process the data business stakeholders need without relying on developers.
All-in-one data solution
Connect, catalog, transform, govern, model, analyze, and provision enterprise data through a single managed environment designed for the complexity of financial services.
Extensive connector library
Use technical and industry-specific connectors to access data from internal systems, external providers, databases, files, warehouses, lakes, cloud stores, and third-party services.
Schema cataloging and metadata management
Catalog source schemas, manage metadata, and create a governed inventory of available data to make information easier to understand, control, and reuse by downstream users, applications, analytics, and AI initiatives.
Customizable data workflows
Extract, validate, transform, reconcile, and promote data to internal schemas and external applications.
Data workflow automation
Build workflows to load, validate, transform, reconcile, promote, and provision data across business teams, analytics environments, applications, and AI initiatives.
Data quality, validation, and reconciliation
Apply data quality checks, business rules, and reconciliation processes to improve consistency, reduce manual effort, and strengthen confidence in reporting, analytics, risk analysis, and operational decisions.
Scheduling and business calendars
Automate recurring workflows and align data processes with market calendars, reporting cycles, internal operating schedules, and third-party timing requirements.
Data modeling and adaptive analytics
Build and manage reusable data models, aggregation logic, semantic layers, snapshots, and BI cubes to support analytics, reporting, and AI-ready data products.
Historical analysis and snapshotting
Store historical data and create snapshots to support auditability, regulatory reporting, performance analysis, back-testing, and risk review.
Flexible data delivery
Provide governed access to trusted data through BI dashboards, Excel, Python, APIs, reporting systems, modeling environments, regulatory applications, and AI/ML workflows.
Embedded AI assistant
Help business and technical users discover, understand, query, visualize, and analyze structured and unstructured data using natural language.
Domain-specific AI assistants
Configure assistants with financial domain knowledge to support use cases like risk, compliance, and investment analytics.
Multi-agent framework
Apply multi-step reasoning, diagnostics, and evaluation to handle complex financial workflows.
Secure, governed access
Apply permissions, authentication, authorization, encryption, and auditability controls to help protect sensitive data and support regulatory and internal governance requirements.
Non-disruptive, fully-managed deployment
Deploy a managed cloud solution that complements existing infrastructure, reduces implementation burden, and helps firms modernize without disruptive rip-and-replace projects.
Request a Data Studio Demo

Take the next step toward faster decision-making, governed data access, and AI-ready innovation across your financial services firm. InterSystems Data Studio provides a unified solution for connecting, integrating, harmonizing, modeling, governing, and analyzing enterprise data across fragmented environments. With a library of technical and industry-specific connectors and an embedded AI assistant for natural-language interaction with complex data, Data Studio helps deliver trusted, actionable information to the right users, applications, and AI initiatives at the right time.

Request a demo of InterSystems Data Studio.

Sumber Daya Terkait

27 August, 2026
Product Data Sheet
In Asset Management, Your Data Is Your Competitive Edge InterSystems Data Studio™ with asset management module enables firms to create a single, trusted, and real-time source of truth from all of their disparate enterprise data sources. This solution makes it faster and easier to prepare data for launching new products, accelerating AI initiatives, managing risk, monitoring performance, and delivering differentiated client experiences.
14 August, 2026
White Paper
A mid-sized independent asset management firm overseeing more than $110 billion in equity and fixed income portfolios implemented InterSystems Data Studio™ to unify disparate data across dozens of data sources and systems such as spreadsheets, external data and service providers, legacy systems, data lakes, data warehouses, and data marts.
04 March, 2026
White Paper
For banks seeking to modernize their decision-making capabilities, smart data fabrics offer a powerful path forward.
04 March, 2026
Solution Summary
A smart data fabric from InterSystems streams high-quality, real-time data into model development, deployment, and performance monitoring— overcoming the limitations of silos for operationalizing AML/KYC, CCAR/ CECL, credit, liquidity, and reporting at scale while maintaining data lineage and governance.
04 March, 2026
Solution Summary
A smart data fabric helps banks improve decision quality and business performance by eliminating data duplication, reducing data latency, and unlocking enterprise-wide intelligence.
27 February, 2026
Cutter Associates Interview
This video explores how asset management firms can overcome common data and infrastructure challenges that often slow down AI innovation. Kathy McDermott, Managing Director at Cutter Associates, is joined by Irene Galperin, Senior Advisor in Financial Services at InterSystems, to discuss why high-quality, accessible data is foundational for successful AI use cases. Together, they unpack key roadblocks such as data silos, legacy architectures, and data quality issues, then shift to practical solutions—highlighting how a data fabric architecture provides the trusted, unified data foundation that GenAI requires to help firms accelerate AI adoption without a disruptive overhaul of their existing data environment.
30 December, 2025
Crisil Coalition Greenwich
The move to T+1 settlement in North America was just the beginning. Now, the industry is buzzing about what it will take to reach true T+0—instantaneous settlement. But how close are firms to making this a reality?
09 December, 2025
Financial Services
What’s holding asset management firms back from moving beyond AI and GenAI prototypes and truly scaling AI innovation?
09 October, 2025
Market Note
This TabbFORUM report explores how AI is moving from cool novelty to core infrastructure, what’s working in production today, and where the next wave of adoption will determine lasting competitive advantage.
29 July, 2025
Celent
Banks are among the most data-intensive institutions—almost everything a bank does is based on digital processing and data analytics, including advanced analytics and models. For banks, their data is the business.

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