Data Quality Insights
Tutorials, best practices, and real-world guides — all privacy-first.
Featured
How Small Businesses Can Compete with Enterprise-Level Data Quality
Enterprise teams have dedicated data engineers. You have a spreadsheet and two hours. Here's how to achieve the same data quality outcomes without the resources.
Latest articles
- Jul 18, 2026
Small Business
Do You Need a Data Team to Have Good Data Quality?
Most small businesses don't have a data team — and they don't need one to have good data quality. Here's what's actually required.
- Jul 17, 2026
Small Business
Why Small Businesses Need Data Quality Tools More Than They Think
Small businesses assume data quality is an enterprise problem. It's actually more urgent for small teams, where one bad dataset can affect every decision you make.
- Jul 17, 2026
Business Function Use Cases
Data Quality for Product Teams: Making Decisions on Reliable Usage Data
Product decisions made on unreliable usage data lead teams to build features no one asked for and drop features users depend on. Here's how product teams ensure their analytics are worth acting on.
- Jul 16, 2026
Business Function Use Cases
Data Quality for Operations Teams: How to Stop Bad Data from Breaking Workflows
Operations teams run automated workflows that break silently when the underlying data is wrong. Here's how to catch bad data at the boundary before it causes a cascade failure.
- Jul 16, 2026
Business Function Use Cases
Data Quality for Business Analysts: The Foundation of Reliable Insights
An analyst's credibility lives and dies on the reliability of their analysis — and that reliability starts before any calculation is run. Here's how business analysts build a data quality foundation that makes every insight defensible.
- Jul 14, 2026
Platform-Specific Data Quality
How to Clean Up Data Quality Issues After a Zapier or Make Automation
Zapier and Make automations can silently introduce data quality problems — wrong field mappings, duplicate records, format mismatches. Here's how to find and fix them.
- Jul 13, 2026
Platform-Specific Data Quality
How to Improve Data Quality in Your Marketing Automation Platform
Marketing automation data quality problems corrupt your segmentation, break your personalization, and produce misleading attribution reports. Here's how to maintain clean data across your MAP.
- Jul 12, 2026
Platform-Specific Data Quality
How to Audit Data Quality Before Migrating to a New CRM
Migrating bad data into a new CRM is one of the most expensive mistakes in systems implementation. Here's how to audit your data quality before migration — and what to fix before you move.
- Jul 12, 2026
Small Business
Can Excel Really Handle Your Data Quality Needs?
Excel can handle basic data quality checks — but it hits hard limits at scale, with large files, and for systematic monitoring. Here's exactly where it works and where it doesn't.
- Jul 12, 2026
Platform-Specific Data Quality
Shopify Data Quality: Keeping Product and Order Data Accurate
Shopify data quality problems — wrong inventory counts, duplicate customers, inconsistent product data — directly impact revenue, fulfillment, and customer experience. Here's how to maintain it.
- Jun 14, 2026
Practical How-To Guides
The 15 Excel Formulas Every Data Cleaner Needs (Explained in Plain English)
Every data quality problem in Excel has a formula solution. These 15 cover the situations you'll encounter most often — whitespace, casing, concatenation, lookup, duplication, and extraction. Each one is explained with a real example.
- Jun 14, 2026
Practical How-To Guides
How to Remove Duplicates in Google Sheets (3 Methods, No Formulas)
Fastest method: Select your data → Data → Data cleanup → Remove duplicates → choose columns → Remove duplicates. Done in under 30 seconds. This works for exact duplicates on clean, consistent data.
- Jun 14, 2026
Tools, Technology & Buying Guides
Best Free Data Profiling Tools (2026): Honest Comparison
Data profiling is the process of examining a dataset to understand its structure, completeness, distributions, and quality before you use it. The tools that do this range from Python libraries to browser-based apps to Excel tricks. Here's an honest comparison of the free options — with their real…
- Jun 14, 2026
Comparisons
OpenRefine Alternatives That Run in Your Browser (No Java Install)
The main reason people leave OpenRefine: it requires Java (a separate runtime environment), runs as a local server, and has a UI that feels like 2010. The data cleaning capabilities are excellent — the setup and learning curve are not. All the alternatives below run entirely in your browser: no…
- Jun 14, 2026
Practical How-To Guides
How to Combine CSVs with Different Columns (Schema Mismatch Fixes)
The core problem: When two CSVs have different column names, structure, or order, a simple `copy *.csv merged.csv` or `cat` command produces a broken file — headers from multiple files appear mid-data, mismatched columns create null-filled rows, and different column names for the same data produce…
- Jun 14, 2026
Practical How-To Guides
Excel Converted My Numbers to Scientific Notation: How to Fix It
Immediate fix: Select the cells showing scientific notation → right-click → Format Cells → Number (or Custom: `0`) → OK. The full number reappears.
- Jun 14, 2026
Practical How-To Guides
TRIM, CLEAN, and the Invisible Characters Breaking Your VLOOKUPs
The most common cause of #N/A in VLOOKUPs: trailing spaces. "Acme Corp" and "Acme Corp " are different strings to Excel — even though they look identical in a cell. The second string has a space character after the text that you can't see.
- Jun 14, 2026
Comparisons
Great Expectations Too Complex? Simpler Ways to Validate Data
The honest diagnosis: Great Expectations is complex because it's solving a complex problem — automated, version-controlled, pipeline-integrated data quality at scale. If your problem is "I need to check this CSV before I import it," GE is a sledgehammer for a thumbtack. Here are the simpler tools,…
- Jun 14, 2026
Practical How-To Guides
CSV to SQL: Generating INSERT Statements Safely (Escaping, Types, NULLs)
The quick method: Use Sohovi's CSV to SQL generator — upload your CSV, select your database (MySQL, PostgreSQL, or SQLite), and download ready-to-run INSERT statements. All processing is in your browser.
- Jun 14, 2026
Tools, Technology & Buying Guides
Why We Built a Data Quality Tool That Never Uploads Your Data
The short version: When you upload a file to most online tools, it travels to their server. With Sohovi, your file is loaded into your browser's memory and all processing happens locally on your device. Nothing is transmitted to our servers. You can verify this with your browser's developer tools —…
- Jun 14, 2026
Practical How-To Guides
Excel Turned My Gene Names / Product Codes into Dates: How to Fix It
What happened: Excel's auto-detection treats text that looks like a date as a date. "DEC1" becomes December 1st. "SEPT7" becomes September 7th. "1-3" becomes January 3rd. The original text is replaced and cannot be recovered — Excel stored a serial date number, not your original text.
- Jun 14, 2026
Practical How-To Guides
How to Bulk-Import a CSV into MySQL, PostgreSQL, and SQLite
The fast path by database: - MySQL: `LOAD DATA INFILE 'file.csv' INTO TABLE tablename FIELDS TERMINATED BY ',' ENCLOSED BY '"' LINES TERMINATED BY '\n' IGNORE 1 ROWS;`
- Jun 14, 2026
Comparisons
Talend Open Studio Is Gone: 7 Alternatives for Data Quality
What happened: Qlik acquired Talend in 2023. Talend Open Studio — the free, open-source version — was discontinued as part of the product consolidation. If you were relying on it for data quality or ETL work, you need alternatives.