Harmonizing Data Quality Across Systems and Regions
Why Run-based Validation in HEDDA.IO Solves One of the Hardest Problems in Enterprise Data In many organizations, especially those operating internationally or across business units, data isn’t just spread across systems — it comes in different shapes, structures, and languages. CRM systems differ by country. ERP instances evolve independently. Even the concept of a “customer” can vary […]
The HEDDA.IO Excel Add-in: Business-Ready Data Quality, Without Leaving Excel
Real-Time Validation, In-Context Analysis, and Seamless Rule Reuse for Enterprise Data Microsoft Excel remains one of the most widely used tools in data-driven organizations. While cloud platforms and data engineering stacks have evolved rapidly, Excel continues to be the go-to interface for business analysts, data stewards, and even technical users when it comes to reviewing, […]
Real-World Data Quality: Designing Complex Business Rules in HEDDA.IO
How Rule Flows and Conditional Logic Power Enterprise-Grade Validation Data quality issues are rarely simple. Whether you’re onboarding data from partners, synchronizing systems, or ingesting raw inputs from external APIs, real-world validation requires conditional logic, domain-specific checks, and structured workflows — not just “is null” filters. In HEDDA.IO, you can define such logic using Rulebooks […]
Building Scalable Data Monitoring Across Modern Data Platforms
From OLTP Systems to Lakehouses – A Practical Approach In a world where data is not only an asset but also a liability if mismanaged, Data Monitoring has emerged as a critical discipline. Whether you’re managing operational databases, enterprise Data Warehouses, or modern Lakehouse platforms, being able to observe, measure, and track the state of your data is essential for maintaining […]
Data Testing Reinvented: How HEDDA.IO Enables Versioned, Automated Validation at Scale
As data platforms become more dynamic, distributed, and business-critical, Data Testing has become a key discipline for ensuring data reliability, trust, and regulatory compliance. Whether you’re building data pipelines, enriching source data, or applying advanced analytics – you need confidence that the rules applied to your data are correct, consistent, and version-controlled. That’s where HEDDA.IO […]
