0:05 A great question! We start with the data quality scorecard, assessing it from multiple dimensions: accuracy, completeness, breadth, depth, and consistency.
0:13 Consistency means that the identifier assigned to an individual should not change over time. We ensure this by applying measures of consistency to the identifiers in our database.
0:26 We also compare our data to national statistics, such as the total number of deliverable addresses according to the U.S. Postal Service and property records from county assessors.
0:43 By using authoritative sources, we can validate our database and assess the consistency of attributes over time.
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