Standardizing data
- You can standardize data against indices. Synonyms are standardized or converted
to the "master" words.
For more information on available data synonym dictionaries, see the Talend Studio User Guide.
- You can use address validation components to standardize address data against
Experian QAS, Loqate and MelissaData validation tools. The addresses returned by
these tools are consistent and variations in address representations are
eliminated. As addresses are standardized, matching gets easier.
For more information on the tQASBatchAddressRow, tLoqateAddressRow and tMelissaDataAddress components, see Address standardization.
For more information on address validation components, see the online publication about the tQASBatchAddressRow, tLoqateAddressRow and tMelissaDataAddress components on Talend Help Center (https://help.talend.com).
- You can use the tStandardizePhoneNumber component to
standardize a phone number, based on the formatting convention of the country of
origin.
For more information on phone number standardization, see Phone number standardization.
For more information on phone number standardization, see the online publication about the tStandardizePhoneNumber component on Talend Help Center (https://help.talend.com).
- You can use other more generic components to transform your data and get more standardized records, such as tReplace, tReplaceList, tVerifyEmail, tExtractRegexFields or tMap.
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