Skip to content
Search to learn about InterSystems products and solutions, career opportunities, and more.

InterSystems Data Studio in Supply Chain

Product Data Sheet

Professional logistics managers in hardhats inspecting shipping containers

Download the PDF

Low-Code, Self-Service Data Gateway

InterSystems Data Studio™ is a low-code, self-service data gateway that makes it quicker and simpler to integrate, harmonise, and normalise disparate data and deliver it to the right users and applications at the right time and in the proper format.

Unlike traditional approaches which result in increased cost and complexity, InterSystems Data Studio does not require provisioning, integrating, or maintaining multiple data management products. It is designed to provide quick and easy access to live and historical data for business users and data analysts, with trusted, clean data for your supply chain applications and AI.

The solution delivers trusted and consistent data to supply chain practitioners and serves as a data gateway to harmonise and onboard data to supply chain software applications. By speeding and simplifying data ingestion, integration, and staging processes, supply chain software providers and their customers can significantly reduce initial application implementation and ongoing data on-boarding time and cost compared with traditional data management approaches.

InterSystems Data Studio is Your Key to Clean, Trusted Data

Clean, trusted data is critical to supply chains because it is the foundation of reliable analytics, effective decision-making, and overall business success. Without high-quality data, organisations face significant financial risks, operational inefficiencies, and reputational damage. InterSystems Data Studio, with its unique supply chain module, is the key.

Balaraj Pudota, VP and Global Head of SAP Practice
UST

Intelligent AI Assistants for Secure and Efficient Data Analysis

InterSystems Data Studio™ AI Assistant is a Generative AI-powered productivity extension to InterSystems Data Studio designed to accelerate development of workflows and agents directly within the InterSystems environment. By enabling natural language interaction with supply chain data, it helps users uncover deeper insights, improve productivity, and accelerate decision-making.

With AI Assistant, users gain access to interactive assistants that make it easier to understand, navigate, query, and visualise their structured and unstructured data more effectively. Built on an agentic framework, it provides reasoning, diagnostics, evaluation, and governance capabilities. Users can also design custom assistants and agents that are enriched with specialised knowledge and memory for context-aware interaction.

The AI Assistant provides an intuitive natural language interface and includes the following core capabilities:

  • Personalised assistants: Assistants can be embedded with supply chain-specific knowledge and customised for unique workflows.
  • Secure data access: Fine-grained permissions ensure assistants only access approved data sets, supporting compliance and governance.
  • Live data awareness: Assistants operate on the most up-to-date data managed by automated data operations.
  • Extensible multi-agent generative AI framework: A flexible and modular foundation that provides multi-agent, multi-step reasoning, diagnostics, and testing and evaluation capabilities to iteratively improve responses and adapt to complex tasks.

Key Benefits of
InterSystems Data Studio

Speed Decision Making

  • Harmonise and normalise disparate data from any source.
  • Deliver data to the right consumer at the right time.

Reduce Implementation Time

  • Speed data ingestion, integration, and staging.
  • Lower operational costs and accelerate time to value.

Increase Operational Efficiency

  • Automate data processing tasks.
  • Minimise reliance on development resources.

Common Integrated Data Layer Servicing All Data Consumers

  • Supports all users, applications, AI, and access methods.
  • Eliminates data discrepancies and data mismatch.

Single Converged Platform

  • Eliminates effort required to integrate multiple point solutions.
  • One (vs. multiple) technology partner.

The InterSystems Difference

cognative computing
Delivers a Single Integrated Data Layer
InterSystems Data Studio complements all supply chain applications and data management silos to unify data from all internal and external sources to deliver a single, trusted, current, and secure integrated data layer to all consuming applications and business users.
numbers 1 and 0 shown on in a hand
Low-code, Fully-managed Service
Provides data stewards, integration engineers, and business analysts with the capabilities they need, while eliminating reliance on developers, and infrastructure and operations staff.

programmer at monitor

InterSystems Data Studio Provides:

  • Connectivity: Connections to data sources, safely storing necessary credentials.
  • Schemas and data structures: This includes specifying how data is to be extracted, such as whether only new data is extracted, specifying data types, and specifying default values.
  • Customisable data workflows: Extract, validate, transform, reconcile, and promote data to internal schema or external applications.
  • Automation and scheduling of data workflows: Scheduling the running of data workflows, including adhering to the appropriate business calendar. To simplify scheduling, the service supports a hierarchical system of entities, each of which can have its own business calendar but can inherit calendar details from its parent. An entity can correspond to a business unit or can simply correspond to some external system or organisation whose calendar is important to your organisation.
  • Automation and scheduling the building of business intelligence cubes: Cubes are based on the tables within Data Studio. The solution provides built-in BI capabilities and integrates with other leading BI applications.
  • Snapshots: A snapshot can use one or more tables and provides a flattened (de-normalized) view of relevant data. Ability to define BI cubes based on snapshots for a longitudinal view of data.

Conclusion

Supply chain practitioners seeking the best way to accelerate decision intelligence, unify supply chain data, increase operational efficiency, and improve supply chain resilience can benefit from a supply chain data gateway. InterSystems Data Studio with supply chain module offers a new and unprecedented approach to accessing data across the supply chain. Our data gateway makes it faster and simpler to integrate, harmonise, and normalise disparate data and deliver it to the right consuming users and applications at the right time and in the proper format to accelerate time to value, all within a governance framework.

Request a demo of InterSystems Data Studio

Other Resources You Might Like

Aug 24, 2026
Fundamentals
RAG retrieves knowledge from your documents. MCP gives AI a standardised way to take actions. Learn when to use each, when to use both, and how they work together in production systems.
Aug 21, 2026
Industry Insights
Data Integration Key to Achieving Needed Breakthroughs in Healthcare When peers from other industries ask why data hasn’t driven comparable breakthroughs in healthcare, the answer is usually hiding in plain sight: clinical and administrative data still live in different systems and “speak” different digital languages. Integrating them is a prerequisite for the next wave of progress—better care, better patient experience, and better operational performance at the same time. Fortunately, there are now multiple mandates spurring this integration, from Centers for Medicare & Medicaid Services requiring Fast Healthcare Interoperability Resources APIs, to National Committee for Quality Assurance embracing digital quality measures, to enforcement of prohibitions against information blocking. Health plans and providers, however, must guard against swapping these two longstanding data siloes for several new ones.
Aug 19, 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.
Aug 19, 2026
Build, Connect, and Govern AI Agents
InterSystems IRIS AI Hub provides a comprehensive set of capabilities for building, deploying, and governing AI agents and agentic workflows.
Aug 15, 2026
Fundamentals
Conversational AI in healthcare is reducing patient portal overload with urgency tagging, AI-assisted responses, and intelligent message routing. Learn what's deployed and what the evidence shows.
Aug 15, 2026
Fundamentals
APIs are built for developers. MCP is built for AI agents.
Aug 15, 2026
Fundamentals
Overview An eye surgery center was losing patients. Not to competitors, but to no-shows. Eighteen percent of scheduled appointments went unfilled every week. Four full-time staff members spent their days calling roughly 500 patients, trying to confirm appointments. When that didn't work, the clinic overbooked randomly, hoping the math would balance out. Some days every patient showed up, and the waiting room was chaos. Other days slots sat empty.
Aug 12, 2026
NTN Special Report
This special report from National Technology News evaluates the key talking points from the event including everything from data readiness and governance to organisational resistance, sustainability concerns, and the future role of humans in increasingly automated workplaces. AI has moved beyond experimentation and into the mainstream. Across industries, organisations are racing to identify use cases, improve productivity, and demonstrate returns on investment. Yet while enthusiasm remains high, many businesses are discovering that turning AI ambition into measurable operational impact is far more challenging than anticipated.
Aug 04, 2026
Fundamentals
Agentic AI in Healthcare A multi-agent AI system recently diagnosed rare medical cases correctly over 80% of the time. That's four times better than seasoned human clinicians. It didn't get there by being smarter than any single AI. It got there by having multiple agents argue with each other until the errors got caught.
Jul 28, 2026
Proven and Trusted
The Gold-Standard Partner for International Expansion

Take The Next Step

We’d love to talk. Fill in some details and we’ll be in touch.
*Required Fields
Highlighted fields are required
*Required Fields
Highlighted fields are required
** By selecting yes, you give consent to be contacted for news, updates and other marketing purposes related to existing and future InterSystems products and events. In addition, you consent to your business contact information being entered into our CRM solution that is hosted in the United States, but maintained consistent with applicable data protection laws.