Age, Completeness, Accuracy, Consistency, Duplication, Usage these are the parameters
Age: How long ago data was updated
Completeness: Data is complete
Accuracy: It's Trusted
Consistency: Say for ex: one field has DDMMYY in many places and in other places MMDDYY
Duplication: Data Cleansing
Usage: Harnessing in Reports, Dashboards
In A: the data quality dimensions are listed but in C -> Components of Data quality standard.
https://trailhead.salesforce.com/content/learn/modules/data_quality/data_quality_improve_quality
Bad data (https://trailhead.salesforce.com/content/learn/modules/data_quality/data_quality_getting_started?trailmix_creator_id=strailhead&trailmix_slug=prepare-for-your-salesforce-ai-associate-credential)
Missing Records, Duplicate Records, No Data Standards, Incomplete Records, Stale Data
Data Quality Dimension (https://trailhead.salesforce.com/content/learn/modules/data_quality/data_quality_assess_your_data?trailmix_creator_id=strailhead&trailmix_slug=prepare-for-your-salesforce-ai-associate-credential)
Age, Completeness, Accuracy, Consistency, Duplicate, Usage
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