DAISY: the Artificial Intelligence Inside Irion EDM

Augmented Data Quality Governance

The power of AI inside Irion EDM®

Take your data management to the next level with DAISY, the platform’s integrated Data Artificial Intelligence System. Copilot, wizard, and guided procedures to write code, suggest data checks, facilitate data discovery in your systems, generate synthetic data, and much more.

A flexible, independent environment open to any Machine Learning algorithm and Artificial Intelligence engine (including generative AI: you can choose your preferred LLM model, such as GPT-4, Claude, or Llama, based on your needs). Irion continuously reinvests in Research & Development to offer increasingly intelligent features.

Irion EDM® feature with generative AI

Copilot Pipeline Wizard

Quickly create data transformation rules. No need to write code or know the technical details: you can express in natural language the set of changes to be applied to the new target dataset and preview the result.

Involve non-technical users in creating data pipelines, autonomously and in a simplified way. You can select inputs from new datasets or from already acquired datasets and enrich them with content.

Copilot Rule Wizard

Quickly create the rules you need-the system translates them for you. Dramatically speed up the entire data control chain. State your requests declaratively, using natural language. You have a “user lab” available to test controls, even complex ones, using real datasets.

SMART Data Profiler

Automatically identify the characteristics of a new dataset, providing essential information on its structure and content. Without writing code, it reduces the time and cost of implementing checks. It enables the generation of rules to validate formats, key fields, domain values, etc., thanks to the powerful profiling engine of the Irion EDM platform. It also allows users to review, enhance, and confirm the suggested checks. In fact, it allows rules to be generated to validate formats, key fields, domain values, etc., thanks to the powerful profiling engine of the Irion EDM platform. It also allows the user to review, integrate and confirm suggested controls.

SMART Rules Recommendation

Flanking the data profiling engine, the AI engine, by analyzing possible correlations between data, is able to suggest controls on a dataset. Each proposed indication can be tested, modified and then made operational with one click.

It consolidates the data quality framework and dramatically reduces development time. This can also be extended to integrate additional rule suggestion engines.

Smart Data Discovery

Help classify your data by linking it to business concepts. Create association rules applied to data and metadata, using value lists, regular expressions, AI and ML algorithms, etc.

By harnessing the power of Irion EDM’s connectors, the system detects associations, even across huge volumes of data and different formats. All of this can be incorporated into planned processes.

Automatic Vertical Lineage

You save time tracking vertical lineage relationships with the help of an automated process that relies on Smart Data Discovery results. You can define thresholds to automatically accept and reject detected associations or reserve the right to validate them. You can then explore, through a navigable graph, the associations between Data Catalog and Business Glossary.

SMART Rules Propagation

It provides suggestions for new controls, starting with a single business term defined in the Business Glossary. Without writing code, it then allows the controls themselves to be quickly propagated to more technical data, in different systems, even depending on the vertical lineage (if any). It allows controls to be made operational.

NLP Verbalization

Automatically suggests, from available metadata, natural language (and multiple language) translations of Data Quality checks performed on external systems. Makes the checks performed understandable to anyone, regardless of the technical language used to write the checks, reducing the gap between technical and business users.

Data Quality Insight

Suggests actions to improve the Data Quality facility. Calculate quality indicators based on the control facility and execution history, performs comparisons with benchmarks.

It assesses the robustness of the data quality framework and helps you understand whether your controls framework is still viable, relative to evolving business and systems.

Data Artificial Intelligence System

Copilot and Wizard for Augmented Data Management, with the power of Irion EDM®

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