Which is NOT a guiding principle for data warehouses?

Which is NOT a guiding principle for data warehouses?

• A. Promote transparency
• B. Choose a one-size-fits-all solution
• C. Focus on business goals
• D. Start with the end in mind

Answer: (B)

Choosing a one-size-fits-all solution is not a guiding principle for data warehouses because data warehousing requires a nuanced approach tailored to the specific needs and contexts of an organization. Effective data warehousing acknowledges that different business units may have diverse requirements, data sources, and analytical needs. A rigid, one-size-fits-all approach would fail to accommodate the complexity and variability of data needs across an organization, leading to potential inefficiencies and a lack of effective decision-making support. In contrast, promoting transparency is crucial as it ensures that all stakeholders understand the data, its sources, and how it is used. Focusing on business goals aligns the data warehouse with the strategic objectives of the organization, ensuring that the data supports decision-making processes. Starting with the end in mind emphasizes the importance of defining the desired outcomes and uses of the data infrastructure before diving into development, guiding both the architecture and the design. These principles collectively help create a more effective and manageable data warehouse that meets the specific needs of the organization and its users.

Choosing a one-size-fits-all solution is not a guiding principle for data warehouses because data warehousing requires a nuanced approach tailored to the specific needs and contexts of an organization. Effective data warehousing acknowledges that different business units may have diverse requirements, data sources, and analytical needs. A rigid, one-size-fits-all approach would fail to accommodate the complexity and variability of data needs across an organization, leading to potential inefficiencies and a lack of effective decision-making support.

In contrast, promoting transparency is crucial as it ensures that all stakeholders understand the data, its sources, and how it is used. Focusing on business goals aligns the data warehouse with the strategic objectives of the organization, ensuring that the data supports decision-making processes. Starting with the end in mind emphasizes the importance of defining the desired outcomes and uses of the data infrastructure before diving into development, guiding both the architecture and the design. These principles collectively help create a more effective and manageable data warehouse that meets the specific needs of the organization and its users.