In SAP BW queries, conditions and key figure properties are powerful tools for filtering and aggregating data to meet specific reporting requirements. When defining a condition in a BW query for the top 10 of 100 customers based on sales revenue, you can control how the results are presented by configuring the key figure properties. Below is an explanation of the correct answers:
C. One result row with the sales revenue sum of the top 10 customersThis scenario is achievable by applying aconditionin the BW query to filter for the top 10 customers based on sales revenue. The query will calculate the sum of sales revenue for only those top 10 customers and display it as a single result row. This approach focuses solely on the subset of data that meets the condition.
[: SAP BW/4HANA Query Designer allows users to define conditions (e.g., "Top N" filters) to restrict the dataset displayed in the query. The key figure properties can then be configured to aggregate the filtered data into a single result row., , D. One result row with the sales revenue sum of the top 10 customers a second result row with the sales revenue sum of the other 90 customersThis scenario is also achievable by combining aconditionwith the use ofexception aggregationorresult rowsin the BW query. Here’s how it works:, The condition filters the top 10 customers based on sales revenue., A second calculation is performed to aggregate the sales revenue for the remaining 90 customers (i.e., all customers not included in the top 10)., The query displays two result rows: one for the top 10 customers and another for the remaining 90 customers., This approach requires careful configuration of key figure properties, such as exception aggregation (e.g., summing values outside the condition), to ensure accurate results., Reference: SAP BW/4HANA supports advanced result calculations using exception aggregation and result rows. These features are documented in the SAP BW Query Design Guide and are commonly used to achieve detailed breakdowns of data., , Incorrect OptionsA. One result row with the sales revenue sum of all 100 customersThis scenario cannot be achieved directly when a condition is applied to filter for the top 10 customers. Applying a condition inherently restricts the dataset to only those customers that meet the condition (in this case, the top 10). Therefore, the query will not include the sales revenue of all 100 customers unless the condition is removed., Reference: Conditions in SAP BW queries are designed to filter data, and their application excludes non-matching records from the result set., B. One result row with the sales revenue sum of the top 10 customers a second result row with the sales revenue sum of all 100 customersThis scenario is not achievable because the condition limits the dataset to only the top 10 customers. While you can calculate the sum of the top 10 customers, there is no mechanism within the same query to simultaneously calculate the sum of all 100 customers without removing the condition., Reference: SAP BW queries do not allow overlapping calculations where a condition applies to one part of the dataset while ignoring the condition for another part of the same query., , ConclusionThe two correct scenarios regarding result presentation in this context are:, One result row with the sales revenue sum of the top 10 customers., One result row with the sales revenue sum of the top 10 customers and a second result row with the sales revenue sum of the other 90 customers., These scenarios leverage the capabilities of conditions, key figure properties, and exception aggregation in SAP BW queries to provide flexible and meaningful insights into the data., ]
