Irion

Leverages Artificial Intelligence (AI) and technologies like DAISY (Data Artificial Intelligence System) to measure, monitor, and ensure high-quality data that is ready for AI and machine learning initiatives.

Provides comprehensive capabilities for data sharing, a 360-degree view of information assets (from roles to processes), and supports regulatory compliance like GDPR. It enables a centralized catalog for metadata, collaborative workflows, and advanced role management.

Offers advanced tools for finding and linking metadata, with native integration for AI and ML-based logic, supporting a fully and natively metadata-driven working model.

Connects to over 200 connectors and tools to handle large volumes of data from various sources and formats, including databases, applications, social media, and APIs. It allows for seamless access to information without the need for specific extraction and normalization systems.

Enables the consolidation of data from diverse sources and the creation of comprehensive reports, allowing users to browse the results of their data processing through a multi-template web dashboard.

Streamlines internal operations and processes, enhancing efficiency.

Facilitates the secure exchange and publication of data assets.

Replaces unmanaged IT solutions and numerous spreadsheets with a centralized, governed platform.

Supports the tracking and analysis of critical business metrics and operational statistics.

Aids in updating and improving older software systems by enabling the building of complete vertical solutions.

Provides capabilities for managing central master records, product and customer catalogs, and ensuring synchronized data sources.

Ensures reliable data and efficient processes by reconciling data across different systems, preventing data loss during transfers.

Offers scalable models and interactive graphs to visualize relationships among data, enhancing the value of data assets.

Allows users to easily configure and manage business rules through an intuitive user editor, enabling the classification, enrichment, and control of data and the creation of a centralized data and rules dictionary.

The platform is designed to be open, flexible, and allow for the agile creation of comprehensive and customized solutions to meet unique business needs.

Engineered for high performance, reliability, and scalability, contributing to significant operational time savings (up to 90%).

Integrates AI features such as copilot, rule wizard, and smart data profiler to automate tasks, reduce errors, and enhance decision-making.

Based on an innovative "declarative" paradigm for implementing and governing all phases of data management processes.

Designed to be "data fabric-ready," offering capabilities like data access management, data analytics, data collaboration, data lineage tools, and persistent data management.

Provides a versatile web dashboard with multiple templates to visualize operational metrics, control statistics, and KPIs.

Offers an open and API-based architecture for external access to data, operational functionality, and process configurations.

Enhances collaboration and efficiency by allowing users to quickly add and share comments, documentation, tags, and groups within the platform.

Enables anyone to directly access data with self-service capabilities.

A key benefit highlighted is the potential to save up to 90% in operational time.

Covers all tools needed to manage data assets, from acquisition, control, and transformation to delivery.

Offers advisory services, managed services, and various training options including documentation, webinars, live online training, and in-person sessions.