Matching or candidate identification is the process called similarity analysis. One approach is called deterministic which relies on:
A . Statistical techniques for assessing the probability that any pair of records represents the same entity
B . Taking data samples and looking at results for a subset of the records
C . Being able to determine the similarity between two data models
D . Algorithms for parsing and standardization and on defined patterns and rules for determining similarity
E . Finding two references that are linked with a single entity
Answer: D
Explanation:
Deterministic matching, also known as exact matching, relies on predefined rules and algorithms to parse and standardize data, ensuring that records are compared based on exact or standardized values. This approach uses defined patterns and rules to determine whether two records represent the same entity by matching key attributes exactly. Deterministic matching is precise and unambiguous, making it a common approach for high-certainty matching tasks, although it can be less flexible than probabilistic methods that allow for variations in data.
Reference: DAMA-DMBOK2 Guide: Chapter 10 C Master and Reference Data Management "Entity Resolution and Information Quality" by John R. Talburt
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