What characteristic is associated with the Corporate Information Factory (CIF)?

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Multiple Choice

What characteristic is associated with the Corporate Information Factory (CIF)?

Explanation:
The Corporate Information Factory (CIF) is a comprehensive framework that emphasizes the organization and management of corporate data. A key characteristic of CIF is that it integrates data in a manner that supports decision-making and reporting over time. The notion that the data warehouse is subject-oriented and time-variant directly aligns with the principles of CIF. In this context, being subject-oriented means that the data is organized around the specific subjects of the business (such as customers, products, sales), which allows for better analysis and decision-making. Time-variant refers to the capability of the data warehouse to store historical data, facilitating trend analysis and understanding changes over time. This timeframe aspect is crucial, as it signifies that data is not only relevant to the present but also retains its historical context, which aids organizations in strategic planning and forecasting. In comparison to the other characteristics, the emphasis in CIF is on a structured and integrated data approach, rather than volatility or exclusivity to current data. The focus on historical, subject-oriented data contrasts with options that suggest a lack of integration or focus solely on real-time data changes. These attributes highlight the distinctive value of data management practices that support not just immediate needs but also long-term strategic objectives.

The Corporate Information Factory (CIF) is a comprehensive framework that emphasizes the organization and management of corporate data. A key characteristic of CIF is that it integrates data in a manner that supports decision-making and reporting over time. The notion that the data warehouse is subject-oriented and time-variant directly aligns with the principles of CIF.

In this context, being subject-oriented means that the data is organized around the specific subjects of the business (such as customers, products, sales), which allows for better analysis and decision-making. Time-variant refers to the capability of the data warehouse to store historical data, facilitating trend analysis and understanding changes over time. This timeframe aspect is crucial, as it signifies that data is not only relevant to the present but also retains its historical context, which aids organizations in strategic planning and forecasting.

In comparison to the other characteristics, the emphasis in CIF is on a structured and integrated data approach, rather than volatility or exclusivity to current data. The focus on historical, subject-oriented data contrasts with options that suggest a lack of integration or focus solely on real-time data changes. These attributes highlight the distinctive value of data management practices that support not just immediate needs but also long-term strategic objectives.

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