You might get tired of poor data quality. Through Predictable Data, you can identify the source of poor quality data through the average scores of record owners, systems, or databases. You can customize your results by deciding how a record generates a score. By pinpointing the sources of low quality data; strategic, systematic improvements can be made. You can also view the records that need the most attention. For instance, missing data may receive a lower score than incorrect or improperly formatted data.
|Incorrectly Formatted||Some deduction for incorrect format, improper punctuation, unstandardized capitalization, and misplaced values|
|Incorrect Values||Some deduction for completely missing data or partially missing data, incorrect values, and/or containing certain keywords|
|Inconsistent Semantics||Some deduction for inconsistent data (like an incorrect zip code in regards to an address or male gender with|