From Row Checks to Patterns: Why Dataset Rules Matter in Data Quality
Understanding how HEDDA.IO helps detect the issues you don’t see at row level When we talk about data quality, we often think of rules like: “Email must be valid.” “The contract start date must come before the end date.” “If the product is active, it must have a category.” These are row-level rules — the kind HEDDA.IO calls Business Rules and manages inside Rulebooks. They […]
Data Quality or Data Governance? Why You Souldn`t Choose Between the Two
A guide for business leaders on aligning responsibility, control, and trust in data In boardroom discussions, strategy papers and transformation programs, two data-related terms are repeated constantly: Data Governance and Data Quality. Both are critical — and yet, they’re often misunderstood, confused, or treated as interchangeable. The truth? They serve different purposes — and both are essential for building a sustainable, data-driven organization. Governance […]
A Failed Data Check? Why That’s Good News
Turning validation failures into opportunities for improvement Picture this: A routine data validation runs overnight. It flags 28% of the records in a core system as non-compliant. You hear the message: “The data check failed.” And yet — nothing crashed. No system went offline. Instead, something powerful just happened: You got a chance to fix something before […]
Introducing Native Git Integration in HEDDA.IO 2.0
A New Era of Collaboration, Control, and CI/CD for Knowledge Bases With HEDDA.IO 2.0, we are proud to introduce full Git-based integration for project storage and versioning — unlocking a completely new level of flexibility, automation, and collaboration for our users. Until now, HEDDA.IO stored all project content in a centrally managed Azure SQL Database. […]
Machine Learning and AI – built on sand without Data Quality
Why Dirty Data Silently Undermines Even the Smartest Models The rise of Machine Learning (ML) and Artificial Intelligence (AI) has changed what organizations expect from their data. From fraud detection and customer segmentation to language models and predictive maintenance — modern ML systems promise smarter systems, faster decisions, and a strong competitive edge. But there’s a catch: No model is […]
HEDDA.IO 2.0 – Faster, Leaner, and Git-Native
HEDDA.IO 2.0 – Faster, Leaner, and Git-Native With the May release, we’re proud to officially launch HEDDA.IO Version 2.0 – a major step forward in performance, architecture, and integration. Architecture Upgrade We’ve consolidated several services and fully containerized the entire application. This streamlines the setup, reduces operational complexity, and enables more straightforward scalability. Whether you’re running a lightweight dev instance or managing […]
Data Observability for Data Engineers
From Reactive Firefighting to Proactive Data Reliability In today’s modern data stacks, Data Engineers are tasked with building robust pipelines, managing transformations, integrating APIs, and delivering high-quality datasets to downstream consumers. But in reality, a lot of that time is still spent debugging, chasing schema changes, and answering urgent Slack messages like: “Why is this column suddenly empty?” […]
Nail Your Data Quality: Start With Validation
The amount of data that companies work with today is already immense and is increasing almost daily. Countless lists, graphs, analyses and reports. But what gives us the certainty that the data available for analysis is not incorrect? Can we rely on what we see? Business operations and decision-making increasingly rely on data, as organizations use analytics to boost […]
Find Your Perfect Data Quality Process
Good data quality is the backbone of successful organizations. Yet, bad data can derail operations, skew analysis, and undermine strategic decisions. The cost? IBM estimates $3 trillion annually, while Gartner cites an average of $12.9 million per organization. Beyond monetary loss, bad data can damage reputations, result in regulatory penalties, and squander business opportunities. But what’s the solution? The ideal process […]
HEDDA.IO Audit Portal
Audits play a critical role in ensuring data integrity, especially in environments where accuracy and accountability are paramount. They serve as a chronological record and provide a transparent way to track all changes to data within a system. An audit trail in HEDDA.IO can help verify the authenticity of data, track the history of changes and establish accountability by recording who […]
