Did you know?
Businesses have had problems with record linkage in their lists
Surveys reveal that 88% of business have had problem with record linkage in their list. Data duplication is a growing concern with increasing volumes and touchpoints, resulting in wasted sales and marketing efforts. Duplicate records can also affect predictive analytics and other forms of business intelligence.
So what’s stopping them?
- Mistakes in data entry by employees or customers.
- Incorrectly formatted phone numbers, addresses, and email addresses.
- Systems migration or data integration from disparate sources.
- Nicknames, names with multiple accepted spellings, and abbreviations.
Rated Industry's Fastest and Most Accurate Record Linkage Software
Deduplication 40,000 records
Deduplication 400,000 records
Deduplication of 400,000 records to 4 Million Records
What is Record Linkage?
Record linkage is the process of comparing records from two or more disparate data sources and identifying whether they refer to the same entity or individual. This process is pretty simple when you have standardized datasets that contain unique identifiers, but it is quite challenging when your datasets do not conform to a standardized format or lack uniquely identifying data attributes.
In such cases, complex rule building is required to determine potential unique identifiers in your datasets, and match records depending on the weight assigned to each identifier. Based on the matching results, records are linked together and verified to check if they belong to the same or a different entity.
What You Get With Our Record Linkage Software
Unmatched Speed and Accuracy
Rated faster and more accurate than IBM and SAS, DataMatch consistently had the least number of false positives in independent studies.
Perform fuzzy, intelligent searches in real-time, across and within the data source of your choice at blazing speeds.
Seamless Embedding with API
Readily integrate the world’s fastest and most accurate record linkage software into your custom-built applications.
Deploy within minutes with our guided installation wizard and start matching – no advance preparation needed.
People may enter different variations or combinations of names, addresses, and contact information. John Smith and John A. Smith may be the same customer, but the addition of one alphabet will result in duplicates. Such errors are very common in data, and manually detecting them is not a feasible strategy when there are millions of records.
DataMatch is a highly visual desktop fuzzy matching software specifically designed to solve customer and contact data quality issues. DataMatch includes multiple proprietary and standard algorithms to detect phonetic, fuzzy, miskeyed, and abbreviated variations. The suite consists of scalable configurations for deduplication and record linking, suppression, enhancement, extraction, and standardization of business and customer data.
Data Ladder’s fuzzy matching tools are employed in many different industries to cleanse data. find and link customer data, consolidate data across multiple sources, and remove deceased and unwanted records – quickly and easily improving your marketing and mailing performance. It is used in fraud prevention to detect deceptive entities. It is used in the healthcare sector to ensure that every patient has only one complete medical history, enriched from 3rd party repositories. It is used in research firms to clean data before analysis. Any business activity that needs clean data will need advanced fuzzy matching tools.
Our fuzzy matching software works on relational databases, big data lakes, CRMs, file formats, and social media platforms. The intuitive user interface has been designed for business users and uses graphical reports, multiple tabs, and simple menus to ensure that both business and IT users can “Get the Most Out of Your Data”.