Almost all text in a data warehouse is descriptive text in dimension tables. Data mining customer cluster analyses typically results in textual behavior tags, often identified on a periodic basis. In this case, the customers’ behavior measurements over time become a sequence of these behavior tags; this time series should be stored as positional attributes in the customer dimension, along with an optional text string for the complete sequence of tags. The behavior tags are modeled in a positional design because the behavior tags are the target of complex simultaneous queries rather than numeric computations.