Labeler Transformation Example
The customer database at an insurance organization contains multiple data entry errors. You are a data steward at the insurance organization. You configure a mapping with a Labeler transformation to determine the different types of data that each column contains.
The following table describes sample data from the customer database:
Row ID | Field 1 | Field 2 | Field 3 |
|---|
1 | 19132954 | AIM SECURITIES | PETRIE TAYBRO |
2 | 10110169 | JASE TRAPANI | BANK OF NEW YORK |
3 | 10111786 | WANGER ASSET MANAGEMENT, LLP | JAN SEEDORF |
4 | 10112299 | FELIX LEVENGER | HARVARD MAGAZINE |
5 | 10112036 | DESCHÊNES & FILS LTÉE (QUEBEC) | RICHARD TREMBLAY |
6 | BERGER ASSOCIATES | 10111101 | DAREEN HULSMAN |
7 | 19131385 | EAGLE FINANCIAL GROUP INC | PATRICK MCKINNIE |
8 | LAKENYA PASKETT | WHITEHALL FINANCIAL GROUP | 15954710 |
When you run the mapping, the Labeler transformation compares the input data with the probabilistic model reference data. The Labeler transformation selects a label for the data on each input port. The transformation writes the labels to an output port. Each output row contains a set of labels that defines the data structure on the corresponding input row.
The following table describes the labels that the Labeler transformation adds to the output port:
Row ID | Output Labels |
|---|
1 | number organization contact |
2 | number contact organization |
3 | number organization contact |
4 | number contact organization |
5 | number organization contact |
6 | organization number contact |
7 | organization number contact |
8 | contact organization number |