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, adjusting, and understanding data in context. 

Recognizing this, HEDDA.IO introduces a powerful Excel Add-in that connects the world of business operations directly with enterprise-grade data validation logic — all without leaving the spreadsheet environment users already know. 

Use Case 1: In-Context Analysis of Existing Executions

“Why did my rule fail? And what does that mean for this dataset?”

One of the most frustrating parts of data quality management is helping end users understand why certain validations failed, especially when they occur deep in pipelines built in Databricks, Microsoft Fabric, or other ETL platforms. The result is often long chains of screenshots, exports, and tickets bouncing between business teams and data engineers.

The HEDDA.IO Excel Add-in eliminates this disconnect.

Directly Connect to Execution Results

With the Add-in, users can:

• Connect to any recent Execution Run stored in HEDDA.IO

• Select the Knowledge Base and rule set used during validation

• Load the validated dataset directly into Excel, including all rows, columns, and per-row validation results

Each row in Excel is enriched with metadata provided by the HEDDA.IO engine:

• Which rules passed or failed

• Which specific conditions were violated

• Unique Execution IDs for traceability
  

This empowers users to filter, pivot, annotate, and collaborate using all the tools Excel provides — while working on real production data validated against enterprise-grade logic.

Use Case 2: On-the-Fly Validation and Cleansing in Excel

“I have this file from a partner. Can I check it before it hits production?”

The second major feature of the HEDDA.IO Excel Add-in is the ability to validate and cleanse Excel data in real time — using the same Knowledge Bases and RuleBooks already used in the broader organization.

Self-Service Validation with Zero Code

The process is straightforward:

• The user opens any dataset in Excel (e.g., from an export, a partner submission, or an internal download)

• They launch the HEDDA.IO Add-in and select the Project and Knowledge Base

• They map columns in Excel to the expected columns in the validation logic

HEDDA.IO immediately validates the data in the spreadsheet and displays results inline:

In-Place Feedback and Remediation

The user can:

• Identify rows that failed validation

• See which business rules were violated

• Make edits directly in Excel

• Re-run the validation as many times as needed

• Export only the clean, validated subset

This is especially useful for early-stage data ingestion, vendor file validation, or internal QA — and helps ensure only high-quality data enters enterprise systems.

Alignment with Enterprise Validation Logic

What makes the HEDDA.IO Excel Add-in uniquely valuable is its full alignment with enterprise-grade validation pipelines.

Whether a validation is executed:

• in a Databricks job,

• within a Microsoft Fabric Notebook,

• as part of an automated CI/CD deployment,

• or by a business analyst in Excel —

the same Knowledge Base, same RuleBook, and same logic engine is used.

There is no duplication, no reimplementation, and no risk of inconsistencies between the Excel environment and your production systems.

This ensures data validation is not only accessible, but also governed, consistent, and auditable.

Whether you’re cleaning a small vendor file or reviewing a complex data pipeline run — data quality meets you where you are: in Excel.

By the way: we’ll be at the European FabCon in Vienna!

Come find us at booth 20 — we’re happy to dive deeper, show demos, and exchange ideas on how to bring data quality and Excel together in a meaningful way.