What is an example of a technique used to analyze data from multiple dimensions?

Slicing and dicing data is a technique used in data analysis to explore data from various perspectives and dimensions. This method allows analysts to view and manipulate data in different ways, providing insights that may not be evident when looking at the data from a single perspective. For instance, slicing refers to selecting a single dimension of data (like filtering by a specific time frame), while dicing involves creating a sub-cube by selecting multiple dimensions (such as sales data for a specific region and product category).

This technique is particularly valuable in multidimensional data environments, such as data warehouses, where data can be organized across multiple attributes or dimensions. By doing so, users can easily identify trends, patterns, and anomalies, enabling them to make more informed decisions based on their analysis. This ability to analyze data across various dimensions enhances the overall understanding of the data set and its implications for business or research purposes.