Democratize Data Access for All
Business leaders across the financial services industry – from asset management firms and banks to data and analytics providers – struggle with accessing unified, timely data spread across applications, data feeds, data warehouses, data lakes, and data marts. Often, a request for data triggers a months-long development cycle by the data and technology team who seek to protect data and ensure it is used within an established governance framework.
InterSystems® Data Fabric Studio™ offers a new approach to accessing data, delivering the right data to the right consumer at the right time, in a secure and controlled environment. It's a fully managed cloud-based solution with all the necessary components to create and maintain a smart data fabric, transforming disparate data into a single unified source of actionable information. The self-service solution enables data analysts, stewards, and engineers to access and process the data business stakeholders need without relying on developers.
Power Your Firm with Unified Data
Easily Implement a Smart Data Fabric
InterSystems Data Fabric Studio is built on InterSystems IRIS®. Unlike traditional approaches, it does not require provisioning, integrating, and maintaining multiple solutions that ultimately results in increasing cost and complexity. Instead, it leverages a modern, smart data fabric architecture to connect to live data from the source, while simultaneously integrating and transforming it with business rules to deliver high-quality, consistent, and trusted data in one single solution. InterSystems Data Fabric Studio puts all the capabilities needed to create and maintain a smart data fabric within reach via a self-service cloud interface.
.
The Right Data to the Right Consumers at the Right Time
• Risk
• Product
• Finance and corporate strategy
• Quants, data scientists, developers
• RegTech applications
• Reporting applications
• Trading systems
• AI/ML models
Key Benefits
- Self-service solution designed for data analysts, stewards, and engineers
- Non-disruptive architecture, no rip and replace
- Fully managed, hosted in major cloud providers
- End-to-end data integration, harmonisation, and automation
- Data catalog, metadata management, and unified semantic layer
- Integrated AI/ML and data analytics
- Ability to build a customer-extensible canonical data model
- Cloud data solution with fast processing time, massive scalability, and reliability
- Designed for high-volume, mission-critical, data intensive applications
- Connects to live data sources, minimizing latency
- Full change history and a historical data store to enable retrieval of any prior state and satisfy business, client, and regulatory compliance requirements
- Built-in authentication, encryption, authorisation, and auditability to ensure tamper-proof compliance with internal and regulatory mandates