The Attribute tab of a table asset
| Field | Detailed Definition |
|---|---|
| Alert | The count of active, unresolved alerts triggered specifically on this attribute — for example, when a value, threshold, or anomaly detection rule fires for that column. A higher count signals the column needs immediate attention. |
| Blank Count | The number of rows where this attribute’s value is a blank/empty string ("") rather than null. Distinct from Null Count — blanks are present but contain no characters, often indicating upstream data entry issues. |
| Created At | The timestamp marking when this attribute was first discovered and cataloged by Prizm, typically aligned with when the parent table or column was created at the source. |
| Criticality | The business-impact classification assigned to this specific attribute (e.g., Critical, High, Medium, Low) — independent of the parent table’s criticality, since individual columns can carry different levels of business sensitivity (e.g., a PII field vs. a metadata timestamp). |
| Criticality Score | The underlying numeric score (typically 0–100) that determines the Criticality label. Calculated from factors like usage, dependency, and metadata completeness specific to this column. |
| Data Type | The native data type of the column as defined in the source system (e.g., NUMBER, TEXT, BOOLEAN, DATE, TIMESTAMP_LTZ). Determines what types of profiling statistics (e.g., Min/Max Value vs. Min/Max Length) are applicable. |
| Description | The business or technical description written for this attribute, explaining what the column represents and how it should be interpreted or used. |
| Distinct Count | The number of unique values found in the column across all evaluated rows. Useful for assessing cardinality — low distinct counts on an expected unique key (like an ID) may indicate a data quality problem. |
| Empty Count | The number of rows where the attribute’s value is empty (no content at all), distinguished from Blank Count and Null Count depending on how the source system differentiates them. |
| Issue | The count of open, logged data quality issues specifically tied to this attribute — typically created when an alert is escalated or manually flagged for investigation and resolution. |
| Max Length | For text-type attributes, the maximum character length observed across all values in the column. Helps detect truncation risks or unexpected long-form data. |
| Max Value | For numeric or date-type attributes, the highest value observed in the column. Useful for spotting outliers or out-of-range data. |
| Metric Count | The total number of data quality/observability metrics actively configured and tracked on this attribute (e.g., completeness, uniqueness, freshness checks). A higher count generally indicates more thorough monitoring coverage. |
| Min Length | For text-type attributes, the minimum character length observed across all values in the column. Helps detect unexpectedly short or incomplete entries. |
| Min Value | For numeric or date-type attributes, the lowest value observed in the column. Useful for spotting negative values, zero anomalies, or out-of-range dates. |
| Null Count | The number of rows where this attribute’s value is NULL (no value recorded at all, as opposed to blank/empty). A key completeness indicator. |
| Primary Key | A boolean flag indicating whether this attribute serves as (or is part of) the primary key for its parent table — i.e., whether it uniquely identifies each row. |
| Qualified Name | The full hierarchical path that uniquely identifies this attribute within the platform, typically structured as Database / Schema / Table / Column. |
| Row Count | The total number of rows evaluated when calculating this attribute’s statistics — generally matches the parent table’s row count at time of profiling. |
| Score | The overall data quality score for this specific attribute, expressed as a percentage, derived from the combined results of all metrics and tests configured on it. |
| Space Count | The number of values in the column that consist only of whitespace characters (spaces, tabs) rather than meaningful content — often an indicator of dirty or improperly cleaned source data. |
| Status | The workflow/review status of the attribute within Prizm’s governance process (e.g., Pending, Ready for Review, Approved), reflecting whether it has been reviewed and documented. |
| Test Count | The number of explicit data quality tests (e.g., not-null, uniqueness, accepted-values) configured specifically on this attribute, separate from passive observability metrics. |
| Zero Values | A boolean/indicator flag showing whether zero values are present in this numeric column at all. |
| Zero Values Count | The exact count of rows where this numeric attribute’s value equals zero — useful for distinguishing legitimate zero entries from missing or default-filled data. |