Results from an independent university study compare the highest performing record linkage tools.
The above chart reviews and compares various record linkage software tools. An independent study, performed by a major University, found that Data Ladder’s record linkage software outperformed several major companies such as IBM and SAS.
Note – There were 9 other software companies offering record linkage tools that scored lower on the study.
|Record Linkage Software: DefinitionRecord linkage is defined as the process of identifying records on two or more data sets that refer to the same entity across various data sources such as databases and websites. Record linkage is required when combining data sets that don’t have a common identifier, such as an identification number. It can be performed for different purposes, such as data collation or building lists. Identifying and correcting common data quality issues is a challenge for most organizations, regardless of their size.For accuracy both the number of found matches vs. possible matches, and number of false matches were taken into account. This is an essential part of evaluating match accuracy.|
The clear winner was DataMatch Enterprise, Data Ladder’s fast and accurate record linkage software. Through proprietary record linkage algorithms, Data Ladder’s DataMatch software suite helps the user:> Detect and link records within and between data sets with multiple customizable fuzzy matching and phonetic matching techniques.
With the substantial growth in data linkage activities in industries such as healthcare and education over the last several years, there has been increasing demand for high performing linkage software tools. West Virginia University was recently tasked with assessing the long-term impacts of certain medical conditions on patients over an extended period of time. Through using Data Ladder’s record linkage software, researchers were able to link two groups of records together to make the determination on whether previous medical conditions affected long-term health and patient care.Data Ladder also worked with Zurich Insurance on their record linkage activities. In the insurance industry, it is critical to have payee names aggregate and match for the functioning of various payment processes. The constant need to monitor data requires clean, usable data due to the stringent requirements of the industry.Read some of Data Ladder’s case studies across various industries. Ready for clean, usable data?
Download a free trial of DataMatch Enterprise today an get the full results of the study.