In data warehousing, what term refers to a dataset created specifically for drill-down reports?

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A dataset built for drill-down reports is a data cube. In OLAP, a cube organizes data across multiple dimensions (such as time, product, and region) and holds numeric measures (like sales or units sold) at their intersections. This structure lets you explore data by drilling down into finer levels, for example from yearly totals to quarterly, monthly, or by specific regions and products, with fast, aggregated calculations pre-computed for quick analysis.

A dimension is an attribute used to slice data, such as product or region. A measure is the numeric value you analyze, like revenue. A cluster refers to a grouping used in clustering, not a storage structure for drill-down reporting. The cube combines dimensions and measures to support multi-dimensional, drill-down analysis, making it the best fit.