What do Data Classification Rules classify?

Data Classification Rules are essential for the organization and management of data within a marketing analytics framework. They apply to both dimensions and measurements, which encompass various data types used in reporting and analysis.

Dimensions refer to the qualitative attributes or categorical variables that offer context to numeric data, allowing users to segment and filter data for deeper insights. Examples include categories, segments, or any descriptive attributes.

Measurements, on the other hand, are quantitative values that can be aggregated and analyzed. These may include metrics like revenue, sales figures, or engagement rates.

By classifying both dimensions and measurements, Data Classification Rules ensure that data can be effectively organized, analyzed, and reported in a manner that enhances decision-making processes. This dual capability enables marketing professionals to apply classification consistently across all relevant data types, further improving data governance and usability.