With HEDDA.IO, you unlock reliable, trustworthy data that fuels confident decisions across your entire organization.
Our platform helps you surface issues before they become business problems, standardize data quality across teams, and build a shared understanding of your most important data assets.
HEDDA.IO is delivered as a fully customer-controlled PaaS solution — deployed entirely in your environment to ensure maximum data sovereignty, security, and compliance.
Designed for both technical and non-technical users, it scales effortlessly, automates data quality workflows, and turns complex governance tasks into clear, actionable insights.
Start building a data foundation you can trust — and accelerate real value from day one.
Discover how HEDDA.IO empowers Bayer to harmonize and elevate data quality across a global enterprise. This case study shows how our Azure-based data governance platform supports scalable, knowledge-driven data quality management — enabling cleaner, more reliable data for business-critical decisions. Watch the video to see in detail how we helped Bayer achieve transparency, consistency, and efficiency at scale.
Define and maintain the complete set of valid and invalid members for any business domain – including accepted values, deprecated terms, and meaningful synonyms. HEDDA.IO uses this curated knowledge to automatically validate, classify, and standardize incoming data.
With built-in phonetic matching, similarity scoring, and configurable distance algorithms, the platform identifies inconsistent entries, detects near-duplicates, and aligns variations to a single, trusted reference. This ensures cleaner, harmonized data across all systems and enables consistent downstream analytics and decision-making.
Cleansing and standardizing data is one of the fundamental capabilities of any modern data quality solution. With HEDDA.IO Actions, you gain a powerful and flexible toolkit to handle even the most complex scenarios.
Configure targeted transformations, apply standardized business rules, and automatically correct inconsistent or incomplete values across your datasets.
Whether you need to normalize formats, enrich information, resolve duplicates, or reconcile conflicting entries, Actions enable you to clean and refine your data with precision – ensuring reliable, high-quality outputs for all downstream processes.
From simple business rules to highly sophisticated, multi-layered rule books, HEDDA.IO gives you a powerful way to operationalize your domain expertise. Define clear validation logic, combine rules into structured collections, and apply them consistently across all your data assets.
Rule Books allow you to capture complex relationships, dependencies, and business constraints – ensuring that incorrect, inconsistent, or suspicious data is detected early and reliably. This turns your domain knowledge into an automated quality gate, strengthening data integrity and enabling trustworthy analytics throughout your organization.
HEDDA.IO seamlessly integrates with Git to bring version control, collaboration, and full auditability to your data quality workflows.
By connecting your rule definitions, domain knowledge, actions, and configuration assets to a Git repository, every change becomes transparent, traceable, and fully reversible.
Teams can work collaboratively on shared artifacts, manage updates through pull requests, and align data quality logic with existing DevOps processes.
This ensures consistent deployment across environments, supports CI/CD pipelines, and provides a secure, governed lifecycle for all DQ-related assets – from initial drafts to production-ready configurations.
With Git Integration, HEDDA.IO enables you to treat data quality as code: structured, maintainable, and built for scalable enterprise operations.
We use high-performance runners, in order to integrate HEDDA.IO into existing processes of a Modern Data Stack in the best possible way. The HEDDA.IO runners exist for pyspark and .NET and can therefore be used without any problems in Databricks, Azure Synapse Analytics and also in Visual Code together with .NET Interactive Notebooks.
Developers can thus extend their processes developed in Notebooks with HEDDA.IO. The full integration provides developers with IntelliSense and a meaningful widget for the results of an execution. All HEDDA.IO runners are designed to run on their respective systems (Databricks, Synapse, etc.) and not on the HEDDA.IO services.
Business Rules in HEDDA.IO provide a powerful way to translate your organization’s domain knowledge into consistent, executable logic that governs the quality of your data. Instead of relying on tribal knowledge or scattered documentation, HEDDA.IO enables teams to define expectations explicitly — from simple field validations to complex rule books that combine semantic checks, dependencies, threshold logic, reference lookups, and multi-dimensional constraints.
Each rule becomes a reusable, versioned asset that can be shared across projects, integrated into pipelines, and validated across environments through Git-based lifecycle management. This creates a transparent and traceable framework that ensures data behaves as intended, regardless of scale or system landscape.
By centralizing logic in one place and executing it directly in modern compute platforms like Microsoft Fabric, Databricks, or Spark-based notebooks, HEDDA.IO empowers organizations to enforce business standards reliably and continuously — turning data quality into an automated, measurable, and governance-ready process.
HEDDA.IO is a modern data quality platform that transforms domain knowledge into automated, scalable data validation and governance.
