Data Standardization
11 articles
- May 21, 2026
Data Normalization vs. Data Standardization: What's the Difference?
Data normalization and data standardization are frequently confused — and in different contexts, they mean different things. Here's a clear breakdown of when each term applies and how they differ.
- May 21, 2026
How to Handle International Date Formats in Global Datasets
03/05/2024 means March 5th in the US and May 3rd in Europe. When your dataset contains dates from multiple countries, format ambiguity creates silent errors that corrupt your analytics.
- May 21, 2026
Currency Normalization: Handling Multiple Currencies in One Dataset
When your dataset contains transactions in USD, EUR, GBP, and JPY, every financial calculation that aggregates across currencies is wrong unless you normalize first. Here's how.
- May 21, 2026
How to Standardize Categorical Data (Enums, Picklists, Dropdowns)
Status fields with 47 variants. Industry fields with 200+ unique values. Categorical data chaos is one of the most common and most fixable data quality problems. Here's how to fix it.
- May 21, 2026
How to Standardize Product Names and SKUs Across Systems
When your product catalog, inventory system, and e-commerce platform use different names and IDs for the same product, every cross-system report is unreliable. Here's how to fix it.
- May 21, 2026
Handling Special Characters and Encoding Issues in Data
é, ’, and □□□ in your data aren't corrupted — they're encoding errors. Here's what causes them and how to fix them before they break your imports and reports.
- May 21, 2026
Why Inconsistent Data Formats Are Killing Your Reports (And How to Fix It)
Your reports are wrong. Not because the calculations are incorrect — but because the data they're built on has inconsistent formats that fragment your metrics into incomparable groups. Here's how to find and fix it.
- May 21, 2026
How to Map Data from One Schema to Another
Schema mapping is the process of translating data from one structure to another — and it's required every time you integrate two systems, migrate a database, or process a file from a vendor with a different field structure.
- May 21, 2026
How to Standardize Company Names Across Duplicate Records
IBM, I.B.M., and IBM Corp are three records for one company. Standardizing company names is the prerequisite for accurate vendor spend analysis, deduplication, and account management.
- May 21, 2026
How to Clean and Standardize Phone Number Formats
Phone number data is almost always a mess — (555) 123-4567 and 5551234567 are the same number, but your systems treat them as different. Here's how to fix it.
- May 21, 2026
How to Normalize Addresses in Your Database
Address data is the most inconsistently formatted field in most databases. Here's a practical approach to standardizing address records for delivery, deduplication, and geographic analysis.