All Resources
What is Data Profiling: Scope, Techniques, and Challenges
Last Updated on October 30, 2024 It’s no secret that data is the currency that drives business growth and innovation today. Yet, despite billions spent
Why Data Duplicates Exist and How to Get Rid of Them?
Last Updated on September 11, 2024 Did you know poor data quality can drain as much as 25-31% of a company’s revenue? While there are
Data Merging: Process, Challenges, and Best Practices for Combining Data from Multiple Sources
Last Updated on January 28, 2026 An average enterprise uses more than one thousand applications. However, only 29% of them are integrated. This makes it
Using Record Linkage to Resolve Patient Matching Errors
Last Updated on August 25, 2023 “Accurate identification of patients is one of the most difficult operational issues during a public health emergency, and the
Why a CASS Certified Address Normalization Solution is Critical for Reducing UAA Mails
Last Updated on November 13, 2025 Imagine this for a moment. You’ve spent tireless days crafting a direct mail campaign for the launch of your latest product or service offering to key
Your Complete Guide to a Successful Data Migration
Last Updated on December 4, 2025 If you’re reading this guide, chances are you’ve already decided to initiate a data migration project and are looking
Fuzzy Matching 101: The Complete Guide to Accurate Data Matching
Last Updated on December 1, 2025 Summary: Fuzzy matching identifies records that refer to the same entity even when formats, spellings, or fields don’t match exactly. This guide is
8 Benefits of Data Matching that Can Help You Grow Your Business
Last Updated on January 5, 2026 Today, business growth greatly depends on how effectively you can harness information. And while the average number of applications
Data Deduplication for Government Agencies: Risks and Solutions
Last Updated on December 4, 2025 For most companies, duplicate entries can signal warning signs of potential missed revenue targets, negative brand perception, and poor