Data8 Blogs
Stay up to date with the latest news, views, and hot topics for data cleansing and data management with Data8 blogs
Data8 is Proud to be a Gold Sponsor of Scottish Summit 2026
Data8 is Proud to be a Gold Sponsor of Scottish Summit 2026 We are thrilled to announce that Data8 is a Gold Sponsor of Scottish
Data Security at Data8: Why We’ve Gone the Extra Mile with Cyber Essentials Plus
Data Security at Data8: Why We’ve Gone the Extra Mile with Cyber Essentials Plus At Data8, we believe that data security isn’t just a box
ISO 20022 and Structured Address Data: What Financial Institutions Must Do Before November 2026
ISO 20022 and Structured Address Data: What Financial Institutions Must Do Before November 2026 The Payment Standard That’s Changing Everything About Address Data Most people
Data8 Duplicare vs Dynamics 365 Duplicate Rules
Keeping your Dynamics 365 CRM free of duplicate records sounds straightforward—until matching rules get complex. While Microsoft’s native duplicate detection offers a starting point, many
What Is Fuzzy Matching? Learn How Fuzzy Logic Improves Address Validation and Data Accuracy
This guide will explain what is fuzzy matching, how it works in address validation and verification, and why it’s a powerful tool for modern data
Choosing the Best UK Address Finder API for Accurate Customer Data
Poor address data costs UK businesses millions in failed deliveries and lost trust. Discover how a UK address finder API validates and standardises addresses in
Why Address Validation Matters in Ecommerce
How ecommerce brands can use address validation to reduce failed deliveries and cart abandonment.
What is Address Validation?
Address validation is the process of checking that an address is correctly formatted, complete, and recognised within official postal databases, ensuring that mail, parcels, and
The True Cost of Change of Address: Why 10% of Your Customer Data Is Already Outdated
Every year, 10-12% of UK residents change address, creating a significant challenge for businesses relying on accurate customer data. For younger demographics aged 18-24, this