Data quality assessment is the process of exposing technical and business data issues in order to plan data cleansing

Data cleansing

Data cleansing, data cleaning, or data scrubbing is the process of detecting and correcting corrupt or inaccurate records from a record set, table, or database. Used mainly in databases, the term refers to identifying incomplete, incorrect, inaccurate, irrelevant, etc...

 and data enrichment strategies. Technical quality issues are generally easy to discover and correct, such as

• Inconsistent standards in structure, format/ values
• Missing data, default values
• Spelling

Spelling

Spelling is the writing of one or more words with letters and diacritics. In addition, the term often, but not always, means an accepted standard spelling or the process of naming the letters...

 errors, data in wrong fields

Business quality issues are more subjective and are associated with business process

Business process

A business process or business method is a collection of related, structured activities or tasks that produce a specific service or product for a particular customer or customers...

es such as generating accurate reports, ensuring that data driven processes are working correctly.

Business data quality measures like accuracy and correctness are subjective and need Subject Matter Expert

Subject Matter Expert

A subject matter expert or domain expert is a person who is an expert in a particular area or topic. When spoken, sometimes the acronym "SME" is spelled out and other times voiced as a word ....

 (SME) involvement to assess data quality

Data quality

Data are of high quality "if they are fit for their intended uses in operations, decision making and planning" . Alternatively, the data are deemed of high quality if they correctly represent the real-world construct to which they refer...

.