Clerks enter free-text company names that mix legal names, trade names, and noise tokens, so organization matching fails. What should MDM implement first for reliable matching?
Select an answer to reveal the explanation.
Short Explanation
Matching messy company names without cleanup is like comparing apples labeled “Granny,” “Granny Smith LLC,” and “GSMITH.” Parse, standardize, and strip noise first—then match.
Full Explanation
Organization matching depends on normalizing legal versus trade names and removing noise tokens through parsing and standardization. Deleting records lacking tickers, substituting country-code drills, or storing raw blobs does not produce comparable match keys.