Practical guides, tutorials, and best practices for business professionals who work with spreadsheets. Learn how to save hours on data preparation every week.
Both tools handle data matching differently. This guide compares features, learning curves, and use cases to help you choose the right tool for your workflow.
A step-by-step guide to matching messy data when your columns contain spelling mistakes, abbreviations, and formatting inconsistencies.
Every business struggles with data quality. Customer records have typos. Vendor names are abbreviated differently across systems. Employee data doesn't match between HR platforms.
Traditional tools like VLOOKUP require exact matches - they fail when data has even small variations. That's where fuzzy matching comes in, using algorithms to find similar records even when they're not identical.
Our blog covers practical techniques for matching and cleaning data, whether you're using Excel, MergeItAI, or other tools. Written by data professionals for business users who need results, not technical complexity.