InterSystems Data Studio in Asset Management

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.

Download the Product Data Sheet

“The move to a unified data foundation built on Data Studio has enabled us to support new initiatives and scale analytics while reducing operational complexity.”

CTO
Mid-Sized Asset Management Firm

Connect Everything, Solve Anything

Lower total cost of ownership with a solution that can integrate and transform any type of data, and create a data ecosystem to serve multiple use cases:

Enhance marketing and distribution: Automate flows and AUM reporting to support client, RFP, and RFI requests.
Accelerate product launches: Use workflows and automation to prepare data for new ETFs, mutual funds, wrappers, and other products in weeks.
Launch AI initiatives: Feed AI models with unified, timely data and store outputs alongside enterprise data for completeness and accuracy.
Improve regulatory compliance: Reduce errors and respond faster to regulators using common metadata, a semantic layer, and bi-temporal data.
Gain timely client insights: Consolidate client and operational data to improve engagement and retention.
Enhance risk and performance: Support portfolio, risk, and investment analysis with current and historical data.
Simplify AUM and client reporting: Reduce the time required to track AUM and generate client reports.
Streamline back-office operations: Automate NAV checks, trade settlement, reconciliation, and other end-of-day processes.

A Unified Data Foundation for Asset Management

InterSystems Data Studio with asset management module helps firms create a common, integrated data layer that can be used for a variety of investment management use cases. By reducing discrepancies across portfolio, market, and reference data, it supports more accurate analytics, auditable reporting, and better decision-making.

A universal semantic layer lets firms define consistent investment data models, terminology, and business rules without changing underlying systems, helping users and applications work from the same definitions and reducing reconciliation effort.

Pre-built asset management connectors and a canonical, extensible data model accelerate implementation while giving firms flexibility to tailor data structures to their investment processes and requirements.

Pre-built asset management connectors unify portfolio, market, reference, client, and operational data faster, creating a trusted foundation for analytics, reporting, and AI initiatives.

An interactive AI assistant provides contextual answers grounded in structured data and unstructured sources such as data feeds, research, and reports.

Delivered as a fully-managed, cloud-native solution, Data Studio brings together low-code workflows, data pipelining, metadata management, analytics, generative AI, and security in a unified platform that reduces point-solution complexity and accelerates time to value.

InterSystems Data Studio with asset management module diagram — InterSystems Data Studio with asset management module provides a single, cloud-hosted platform
designed to serve the full lifecycle of asset management data.

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 asset management-specific connectors to access data
from portfolio accounting systems, fund administrators, order management
systems, market and reference data providers, client reporting platforms,
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 investment schemas and external applications.

Data workflow automation

Build workflows to load, validate, transform, reconcile, promote, and provision investment and operational data across front-, middle-, and backoffice teams, analytics environments, client reporting platforms, 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

Turn your data into your competitive edge across your asset management firm. InterSystems Data Studio with asset management module provides a unified solution for connecting, integrating, harmonizing, modeling, governing, and analyzing investment, portfolio, market, reference, client, and operational data across fragmented environments. With technical and asset management-specific connectors and an embedded AI assistant for natural-language interaction with complex data, Data Studio helps firms move faster, improve decision-making, and deliver trusted, actionable information to portfolio managers, analysts, operations teams, client reporting teams, applications, and AI initiatives.

Request a demo of InterSystems Data Studio.

Download the Solution Sheet