What allows you to have summarized access to data for better analysis?

The hierarchical structure is essential for summarizing access to data, which facilitates better analysis because it organizes data in a tiered manner that reflects the relationships among different data points. This structured approach allows users to view data hierarchically—starting from broader categories that can be drilled down into more specific subcategories. For example, a business can summarize financial data at a high level by departments and then get more detailed insights by specific roles or teams within those departments.

Having this structured overview helps analysts quickly identify patterns, trends, and outliers across different segments of data, leading to more informed decision-making. The hierarchical structure inherently supports aggregation, making it easier to perform comparative analyses and derive insights at various levels of detail.

While custom filters, dimension values, and standard reports all provide valuable tools for analyzing data, they do not inherently organize the data as effectively as a hierarchical structure does. Custom filters enable targeted view access, dimension values provide context to analyze, and standard reports are useful for presenting data, but it is the hierarchical structure that fundamentally allows for the summarized, organized view that enhances understanding and effectiveness in data analysis.