You can now create logical combinations of defined value fields by grouping them together, making it easier to analyze a subset of data and organize unwieldy lists of data. These Field Groups make it easier to analyze a subset of data and help organize unwieldy lists of data.
For example, if you want to analyze loans in the New York tri-state area, you can group New York, Connecticut, and New Jersey into a new category.
Additionally, if multiple delinquency categories exist (1-29 days, 30-59 days, 60-89 days, and 90+ days), you can group them all into a single category (ALL DQ) to visualize all delinquencies.
Who is impacted?
Why is this important?
Grouping fields offers flexibility in data structure, giving you more ways to visualize your data.