Explain the purpose of dynamic data models and their relevance to business intelligence.

Question

Accepted Answer

Dynamic data models adapt to changing data, enhancing business intelligence through real-time insights and decision-making.

Facilitates real-time data analysis, allowing businesses to respond quickly to market changes.
Supports predictive analytics by incorporating historical data trends, e.g., forecasting sales based on past performance.
Enhances data visualization, making complex data sets easier to understand for stakeholders.
Enables scenario modeling, helping businesses assess potential outcomes of different strategies.
Integrates various data sources, providing a comprehensive view of business performance.