Rolling 12 Month Avg

Hi all - Currently I have a dataset that contains a date (by quarters), brand, sub-segment, sample type, and a NPS column. Using a Beastmode calculation, I take the favorable responses and divide it by the total number of responses to get a NPS score. This data is granular (many NPS respondents, by brand, by segment per quarter).

I load this dataset in Domo, apply necessary filters, and I am able to produce a graph using the Beastmode calculation that shows the NPS score by quarter. Using this Beastmode calculation, I am able to slice and dice the data.

NPS score Beastmode calculation:

count(case when `T2B` = 'Yes' then 1 end) / count(case when `Month_Year` is not null then 1 end)

The problem I'm trying to tackle is that the NPS score should be a rolling 12 month average (past 4 quarters).

Ideally, it would be nice to resolve my issue using Beastmode, but I'm open to any other options! I can foresee if an ETL is used, some of this flexibility would be eliminated as things would now be hardcoded.

Thanks in advance and pls let me know if you need anymore info :)

• Indiana 🥷

Have you read my prior article on rolling averages using window functions? This may help you out: https://dojo.domo.com/discussion/52679/domo-ideas-conference-beast-modes-rolling-averages#latest

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• Indiana 🥷

How far back does your data go? If you don't have any data prior to 2020-Q4 it'll return NULL because there are no prior rows for it to pull from. When you have a NULL with a simple arithmetic operator (=, -, *, /) the entire result ends up being NULL. You can wrap your entire LAG...OVER() in a COALESCE function and coalesce it with 0 to force NULLs to be 0

```COALESCE(lag(count(... over (order by `Quarter`), 0)
```
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