Using configuration tables
In many cases, a business wants to analyze some of the business metrics in clusters. Some good examples are analyzing sales by unit price range, analyzing sales by product cost range, analyzing customers by their age range, or analyzing customers by commute distance. In all of these examples, the business does not need to analyze constant values; instead, it is more about analyzing a metric (sales, in the preceding examples) by a range of values.
Some other cases are related to data visualization, such as dynamically changing the color of values when they are in a specific range. An example is to change the values’ color to red in all visuals analyzing sales if the sales value for the data points is less than the average sales over time. This is a relatively advanced analysis that can be reused in our reports to keep visualizations’ color consistent.
In the preceding examples, we need to define configuration tables. In the latter example...
