Entity Resolution Software
Did you know?
Why does this happen?
- Enterprises use 65 applications on average, meaning multiple records for the same entity are spread across.
- Manual input results in spelling mistakes and formatting issues, resulting in false negatives while matching.
- Nicknames, abbreviations, and variations provided by customers are mapped as unique data
What is Entity Resolution Software?
Entity resolution software, also known as Identity resolution software, is a platform or set of core data quality tools used to identify records that refer to the same entity within or across data sources. This could be done for deduplication and cleansing purposes, or to enrich and create golden records that absorb entity fragments across your business and create a unified entity profile.
Patient Data Integration
Match patient data across electronic health records, birth certificate registries, clinical data warehouse, etc. for process improvement.
Ensure regulatory compliance with identity resolution software for GDPR compliance and accurate matching against watchlists (OFAC, AML, KYC, etc.).
Uncover deep, hidden connections in your data and detect fraudulent entities. For instance, multiple claims from the same address.
Customer Identity Resolution
Confidently identify your customers across omnichannel user experiences by creating unified customer profiles.
Rated Fastest and Most Accurate Entity Resolution Software
|Features of the solution||Data Ladder||IBM Quality Stage||SAS Dataflux||In-House Solutions||Comments|
(Between 40K to 8M record samples)
|96%||91%||84%||65-85%*||Multi-threaded, in-memory, no-SQL processing to optimize for speed and accuracy. Speed is important, because the more match iterations you can run, the more accurate your results will be.|
|Software Speed||Very Fast||Fast||Fast||Slow||A metric for ease of use. Here speed indicates time to ﬁrst result, not necessarily full cleansing.|
|Time to First Result||15 Minutes||2 Months+||2 Months+||3 Months+|
|Purchasing/Licensing Costing||80 to 95% Below Competition||$370K+||$220K+||$250K+||Includes base license costs.|
Note: in-house implementations have a 10% chance of losing in-house personnel, so over 5 years, half of the in-house implementations lose the core member who ran and understood the matching program.
*Above tests were completed on 15 different product comparisons with university, government, and private companies (80K to 8M records). This includes the effect of false positives.
Transform Dirty Data
To Deduplicated, Cleaned and Merged Data
What You Get With Our Identity Resolution Software
Fuzzy Logic Identification
Identify matches accurately with percent matches between records and setting minimum percent match thresholds by field.
Merging and Survivorship
Choose which record survives as the ‘master’ by designating the field you want to merge on while storing additional data in a new field.
Apply over 300,000 built-in libraries for names (Jon, Jonathan, John), phone numbers, address, and company name for standardization.
Big Data Integration
Integrate with NoSQL and Hadoop-based data lakes, alongside social media, CRMs, traditional databases, and file formats.
Organizations today have millions of customer, vendor, and employee records, often with different data standards and non-exact relationships. Performing entity resolution and determining who’s who can be an impossible task without the proper tools. Fuzzy matching algorithms, automated standardization across datasets, and the ability to manually identify relationships are of key importance in your entity resolution software of choice.
Data Ladder’s identity/entity resolution tools are in place across the Fortune 500 and within government organizations to quickly, affordably, and efficiently enable entity resolution.
Merging different databases with different sources (SQL Server, MySQL, Excel, ODBC etc.) and combining into a common structure is the first step in the process. Usually, duplicates are between databases, but sometimes duplicates are within a single table. DataMatch can import, combine, and export to the most common database formats. Additionally, DataMatch will auto-map similar fields from different data sources together (customizable).
DataMatch entity resolution software employs fuzzy matching to find duplicates that cannot be detected by normal deduplication methods. Our out-of-the-box reference libraries contain more than 300,000 data standardization rules to automatically correct mistakes, recognize abbreviations, detect alternate spellings, associate nicknames, and much more. When these libraries are used to understand your data, the solution delivers results more accurate than any competing solution.
Our identity resolution tool is used for mission-critical applications in a variety of domains by the Fortune 500. Market researchers use it to ensure cleanliness of data. Marketing experts match data from their marketing activities and map it to the right customers. The financial and insurance sectors use it for fraud prevention to detect multiple identity creation and to comply with regulations. The applications are limited only by your imagination.
Trusted by The World’s Best Companies
“DataMatch Enterprise – Powerful and Easy to Use”
“My Go-To Databse Tool; Saves Time, Increases Efficiency”
“Best Product Ever”
Data Matching to Resolve Identity Resolution Challenges
Why Minorities are Often
Missed in Data Matches
Entity Resolution for a Single Customer View
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