1. General Data Quality requirements (and metrics)
CLARITY (understandable)
All data elements have clear business meaning (name and definition)
COMPLETENESS (mandatory attributes)
All required business attribute values exist in record level
FORMAT CONFORMANCY (right business format of attributes)
Each attribute must have Right Data type, lenght, min max value, ...
Unique IDENTIFIABILITY (non duplicate in technical and in real world level)
Every record represents one unique real world event or person or thing
REFERENTIAL INTEGRITY (relationships inside one DB, enterprise, world)
All important relationships exist between related data records
CONSISTENCY (non conflict on record level or cross record level)
all similar attribute values are not conflict with each other
ACCURACY TO SOURCE
All loaded and transformed data is correct according to a source
TIMELINESS
All data is available on the agreed time

2. Example of Party DQ Rules and Metrics (set of rules)
DQ rule code name
Rule description
Identify
ability
Complete
ness
Referential
integrity
Consis
tency
Right Format
System ID
Party must have unique and non-changing system assigned ID which must identify party internaly inside one data base x
Name
Party must have country based name in original language
Type
Party must have main type from list (Privat, Legal, goverment, financial institution)
Reg Code Privat
Privat Party must have register code / social security number
Reg Code Privat Format
Privat party social security number format must be according the country based rules if Reg Country is EE, LT, LV
x  
Reg Code Legal
Legal Party must have register code
Reg Country
Party must have register country code from list (EE, LV, LT, ...)
Reg Code Country code
Register code + register country code + party type must be unique and must identify party globaly / externaly
Gender Reg code
Gender and register code of private party must be consistent if Reg Country is EE, LT, LV  x