Reference Data Guide

10.5
- 10.5.9
- 10.5.8
- 10.5.7
- 10.5.6
- 10.5.1
- 10.4.1
- 10.4.0
- 10.2.2

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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

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Reference Data Guide

Reference Data Guide

Labeler Transformation Example

Labeler Transformation Example