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We would like to level up Cube's data modeling with the post-aggregation engine that would allow for further manipulations with already aggregated data, supporting more sophisticated analytics use cases or providing a way to express them in the data model in a streamlined way:
Period-to-date calculations, such as year-to-date (YTD), quarter-to-date (QTD), or month-to-date (MTD) analyses.
Differences or changes: finding the difference between two aggregated measures, like year-over-year sales growth.
Fixed vs. relative comparison, which are useful when you need to compare individual items to a broader dataset.
Ratio and percent of total calculations, calculations of ratios or percent totals that need specific control over the numerator and the denominator.
Segmentation and grouping, calculations of advanced segmentation or grouping that is independent of the view’s granularity.
Cube provides rich data modeling capabilities and supports various use cases.
We would like to level up Cube's data modeling with the post-aggregation engine that would allow for further manipulations with already aggregated data, supporting more sophisticated analytics use cases or providing a way to express them in the data model in a streamlined way:
It's currently planned for October 2024.
Out of scope:
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