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The four primary traits of the value of information are levels, formats, granularities, and type.

The primary purpose of a data warehouse is to combine information.

Determining if information is updated weekly, daily, or hourly is an example of an accurate characteristic of high-quality information.

Data models are logical data structures that detail the relationships among data elements by using graphics or pictures.

Competitive monitoring can compare two or more data sets to identify patterns and trends.

In a data warehouse, information cleansing occurs first during the ETL process and again once the information is in the data warehouse.

Time-series information is time-stamped information collected at a particular frequency.

Static information includes fixed data incapable of change in the event of a user action.

Foreign key is a primary key of one table that appears as an attribute in another table and acts to provide a logical relationship between the two tables.

Data integration is the integration of data from multiple sources, which provides a unified view of all data.