Similarity Keys : Overcoming Data Inconsistencies and Variance
The Fuzzy Match APIs leverage advanced AI algorithms, machine learning, specialized algorithms, and extensive knowledge bases to generate canonical similarity keys from raw input data. These API-generated string-based keys represent thousands of possible permutations of a given data entity. Comparing data based on these keys, rather than the actual data itself, helps to dramatically increase the ability to identify data elements that match, either within a dataset or across multiple datasets.
Company Name Matching
Example 1:
- Amazon
- Amazon.com Inc.
All share generated similarity key: N1Ai4RfV0SRJf2dJwDO0Cvzh4xCgQG
Example 2 (Three Variants):
- IBM
- I.B.M.
- International Business Machines
All share generated similarity key: A9Bn7KdV1SXQf3eLxFP2Gxqm9sT4Hw
Individual Name Matching
Example 1:
- John Doe
- Jon Doe
Both share generated similarity key: X1Zq9RfH2SdW4Lp8QeT6VbU0NmJ7KiC
Example 2 (Three Variants):
- Elizabeth Smith
- Liz Smith
- Beth Smith
All share generated similarity key: R3Ty7VxP2Lm9FgQe1SjK4FcDz8WpZrY
Street Address Matching
Example 1:
- 123 E. Main St.
- 123 East Main Street
Both share generated similarity key: M1Xz4RfP9ScLk2JwDo3Cvzh7xQgTnE
Example 2 (Three Variants):
- 456 Johnson St
- 456 Johnston Street
- 456 Jonhson St.
All share generated similarity key: C5Df8JkL2Mn7PoQx3Rz0SyTa1WxVbF
Global Address Matching
Example 1:
- 10 Downing St, London
- Ten Downing Street, London, UK
Both share generated similarity key: Z7Ai1RfV0SRJf2dJwDO0Cvzh4xCgUe
Example 2 (Three Variants):
- 1600 Pennsylvania Ave NW, Washington, DC
- 1600 Penn Ave, Washington DC USA
- 1600 Pennsylvania Avenue, Wash. DC
All share generated similarity key: D3Gj9SkT7Vb2QxZf1Lp6RjYh5NwM1D
Product Name Matching
Example 1:
- Apple iPhone 14
- iPhone 14 by Apple
Both share generated similarity key: E9Yq3JpR5Vt1LdZ2Xw4MyHn0FvBrQ8
Example 2 (Three Variants):
- Samsung Galaxy S22
- Galaxy S22 by Samsung
- S22 Samsung
All share generated similarity key: F2Wq5LpR7St9ZdX3Cw1KyFjV0MnH3B