What attribute examples would require the use of Bucket Groups?

Bucket Groups are utilized to categorize continuous data into discrete intervals or "buckets." This approach is particularly effective when the data encompasses a wide range of values and there is a need to analyze or visualize those values in a simplified manner.

Both Business Duration and Reassignment Count are examples of attributes that can benefit from the use of Bucket Groups.

Business Duration can adopt a variety of measures, such as hours or days, and when analyzing this across many records, it could span a broad range. Using Bucket Groups allows for the creation of meaningful categories (e.g., short, medium, long duration), making it easier to identify patterns or trends.

Similarly, Reassignment Count, which reflects the number of times an item or case has been reassigned, may vary significantly. Bucketing this data into categories (like low, medium, high reassignment counts) helps in better understanding the frequency of reassignment.

Utilizing Bucket Groups in both scenarios enhances data analysis by providing a clearer picture and allowing for easier reporting and decision-making. Consequently, the answer encompasses both attributes, justifying the choice that all the mentioned examples require the use of Bucket Groups.