Build vs. Buy Entity Resolution: What’s the Better Option for Your Team?
Entity resolution is the process of identifying which records across one or more systems refer to the same real-world person, company, or object, and then
Entity resolution is the process of identifying which records across one or more systems refer to the same real-world person, company, or object, and then
Deterministic matching links two records only when specified fields agree exactly, like an identical account number. Probabilistic matching links records based on a calculated likelihood
Quick Verdict The best data deduplication software depends on where duplicate records exist, how many systems must be reconciled, and the complexity of the matching
Quick Verdict The best fuzzy matching tool depends on the scale of the project, data sources, and technical resources available. DataMatch Enterprise is best suited
When two companies merge, their customer databases merge in name only. The same customer often exists under different account IDs, spelled differently, and formatted according
The right choice between a deduplication API and batch deduplication comes down to when deduplication needs to happen. If records need to be checked at
In 2025, over a quarter of organizations reported losing more than $5 million annually from poor data quality, according to the IBM Institute for Business
Financial data quality management is the set of processes, ownership structures, and controls that finance and IT teams use to ensure transactional, reference, and master
A few years ago, McKinsey’s Global Data Transformation Survey found that organizations spend an average of 30% of their total enterprise time on non-value-added tasks
The technology in a SAP S/4HANA migration rarely causes the program to fail. The data does. This is true across financial services almost without exception
Data matching software identifies and links records that represent the same real-world entity across one or more datasets, even when names, addresses, or identifiers are
At some point, most data teams discover the uncomfortable truth that their data isn’t describing reality anymore. A customer exists under four different names across
Data Ladder offers an end-to-end data quality and matching engine to enhance the reliability and accuracy of enterprise data ecosystem without friction.