What does enterprise wide mean in the context of data warehousing?

What does enterprise wide mean in the context of data warehousing?

• A. Organization-wide view of analytically useful information
• B. Integrated information system
• C. Retrieval of analytical information
• D. Data governance

Answer: (A)

In data warehousing, enterprise-wide means providing an organization-wide view of analytically useful information. The idea is to pull data from many parts of the business—sales, finance, operations, etc.—and consolidate it so analysts can run cross-functional queries, compare metrics across departments, and report with a single, consistent version of the truth. This wide scope is what makes the warehouse valuable for holistic decision making, rather than just serving a single department or a general system integration. This isn’t simply about having an integrated information system in a broad sense, nor is it merely about retrieving analytical information as an activity. And while data governance is important for quality and stewardship, it doesn’t define the breadth of the data warehouse’s scope across the entire organization.

In data warehousing, enterprise-wide means providing an organization-wide view of analytically useful information. The idea is to pull data from many parts of the business—sales, finance, operations, etc.—and consolidate it so analysts can run cross-functional queries, compare metrics across departments, and report with a single, consistent version of the truth. This wide scope is what makes the warehouse valuable for holistic decision making, rather than just serving a single department or a general system integration.

This isn’t simply about having an integrated information system in a broad sense, nor is it merely about retrieving analytical information as an activity. And while data governance is important for quality and stewardship, it doesn’t define the breadth of the data warehouse’s scope across the entire organization.