Ques
A management report requires a year-over-year comparison of revenue for the current and previous years. How would you design the query to provide this comparison efficiently?
Ans:
The approach we can follow includes:
Data Modelling Step:
Define the revenue key figure in our info provider.
Use time characteristics such as year, month, and cal week in the data model as it is the key dimension for performing the YoY comparison.
Try to maintain the historical data in our data model to ensure that the previous year’s data is available for comparison purposes.
Query Design Step:
Using the time-dependent variable to compare the current year with the previous year. This variable should be able to define the data for the current year and the previous year based on user input or system date.
Query Calculation:
For calculation purposes, we can use calculated key figures for computing the YoY comparison directly in the query.
For the optimization of the query which is calculating YoY comparison, we can also perform proper aggregation at the IP level. Ensure that all the real-time related fields like year and month are indexed and ensure the query performance.
If we are using HANA-calculated views, then creating revenue data by year will be an easier option.
We can take advantage of composite providers and open ODS view in BW HANA to combine the data from various multiple source systems while reducing the redundancy in your queries.
Proper testing & validation.
By combining these techniques, you can efficiently perform YoY revenue comparisons while ensuring query performance remains optimal even with large data volumes.
Or
Use restricted key figures with specific fiscal year filters to create separate columns for each year’s revenue.
Leverage a variable offset on the fiscal year to dynamically retrieve prior year data.
If the report is complex, consider a structure with multiple key figures for each year’s data.
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