Hello Team, I am working with a dataset that contains transactional data with a date column (for example, Order_Date) and business metrics such as Sales. Sample scenario: Order_Date: 2023-01-15, 2023-02-10, 2024-01-20 Metric: Sales Amount Use case:I want to analyze: Month-over-Month (MOM): Comparison of sales for ...Read more
Hello Team,
I am working with a dataset that contains transactional data with a date column (for example, Order_Date) and business metrics such as Sales.
Sample scenario:
-
Order_Date:
2023-01-15,2023-02-10,2024-01-20 -
Metric: Sales Amount
Use case:
I want to analyze:
-
Month-over-Month (MOM): Comparison of sales for Feb-2023 vs Jan-2023
-
Year-over-Year (YOY): Comparison of sales for Jan-2024 vs Jan-2023
While the date field is already present in the dataset, I would like to understand how YOY and MOM requirements should be framed correctly in Lumenore, especially in terms of:
-
Using date hierarchies (Year / Month)
-
Choosing between dataset-level vs dashboard-level calculations
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Handling scenarios such as partial months or missing dates
Could you please share the recommended approach or best practice for defining YOY and MOM analysis in this context?
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