What does the term 'coherence' in data governance refer to?

What does the term 'coherence' in data governance refer to?

• A. Consistency across data objects through reference keys
• B. The overall integrity and accuracy of datasets
• C. The process of validating data against known standards
• D. Uniqueness of entries to prevent duplication

Answer: (A)

The term 'coherence' in data governance refers to the clarity and logical consistency across different data sets and how they relate to one another, which is best described by the option relating to consistency across data objects through reference keys. In data governance, coherence ensures that the data aligns and connects meaningfully, enabling users to comprehend and utilize the data accurately without confusion. Using reference keys to maintain coherence allows for data integration by linking related data objects seamlessly. It ensures that when data is referenced across multiple systems or databases, it maintains a uniform interpretation and reduces discrepancies that could arise from inconsistent identifiers or formats. This logical integration fosters a more robust data management environment where information can be used confidently in decision-making processes. The other options focus on different aspects of data quality and governance, such as integrity, standardization processes, and duplication prevention. While these are all essential elements of effective data governance, they do not specifically capture the essence of coherence in terms of establishing logical relationships and consistency across various data elements.

The term 'coherence' in data governance refers to the clarity and logical consistency across different data sets and how they relate to one another, which is best described by the option relating to consistency across data objects through reference keys. In data governance, coherence ensures that the data aligns and connects meaningfully, enabling users to comprehend and utilize the data accurately without confusion.

Using reference keys to maintain coherence allows for data integration by linking related data objects seamlessly. It ensures that when data is referenced across multiple systems or databases, it maintains a uniform interpretation and reduces discrepancies that could arise from inconsistent identifiers or formats. This logical integration fosters a more robust data management environment where information can be used confidently in decision-making processes.

The other options focus on different aspects of data quality and governance, such as integrity, standardization processes, and duplication prevention. While these are all essential elements of effective data governance, they do not specifically capture the essence of coherence in terms of establishing logical relationships and consistency across various data elements.