This is the sixth blog post of SAP Analytics Cloud In-story Calculation Series. If you are interested in learning more about In-story Calculation, please check out our blog series here.
Scenario:
Your logistic department wants to group customers by the average time-to-delivery:
In-story Calculations:
Measure-Based Dimension or Value-Based Dimension allows you to easily create a new calculated dimension and define the criteria for the dimension members. When there is a large number of dimension members, you can use such in-story calculation to categorize the dimension members by the value of a measure for a better view-time experience.
A typical example can be illustrated by customer classification. We would like to divide customers into three groups according to the value of a measure (Time-To-Delivery). After selecting Time-To-Delivery as the Measure in Calculation Editor, we need to name these customer groups in the “Member Name” area and set the data ranges under the “Measure Values” area accordingly. The Dimension Context we used here is the Customer Name because we’re aggregating the customer names by time-to-delivery. The setting should look like this:
Once this calculation is applied, the chart will assign customers into different categories.
Grouping your customers with average time-to-delivery enables you to immediately recognize the “unhappy customers” from a huge number of customers, which also gives you opportunities to improve their satisfaction by sending out coupons or giving extra discounts…
Here are the two blogs that may also provide more details about Measured-Based Dimension/Value-Based Dimension that you don’t want to miss: How To - Measure Based Calculated Dimension and How to Use Measure-Based Dimensions in SAP Analytics Cloud.
If you learned something new in this blog post, share it with your friend! The next blog will introduce how to create a Sales Channel dimension based on the Order ID dimension. Don’t hesitate to follow this blog series if it’s useful for you!
*The product interface may vary depending on the product version
Scenario:
Your logistic department wants to group customers by the average time-to-delivery:
| Time-to-delivery>=10days | Delayed Delivery |
| Time-to-delivery 5-9days | Normal Delivery |
| Time-to-delivery 0-4days | Fast Delivery |
In-story Calculations:
- Measured-Based Dimension (Classic Account Model) or Value-Based Dimension (New Model)
Measure-Based Dimension or Value-Based Dimension allows you to easily create a new calculated dimension and define the criteria for the dimension members. When there is a large number of dimension members, you can use such in-story calculation to categorize the dimension members by the value of a measure for a better view-time experience.
A typical example can be illustrated by customer classification. We would like to divide customers into three groups according to the value of a measure (Time-To-Delivery). After selecting Time-To-Delivery as the Measure in Calculation Editor, we need to name these customer groups in the “Member Name” area and set the data ranges under the “Measure Values” area accordingly. The Dimension Context we used here is the Customer Name because we’re aggregating the customer names by time-to-delivery. The setting should look like this:
Once this calculation is applied, the chart will assign customers into different categories.
Grouping your customers with average time-to-delivery enables you to immediately recognize the “unhappy customers” from a huge number of customers, which also gives you opportunities to improve their satisfaction by sending out coupons or giving extra discounts…
Here are the two blogs that may also provide more details about Measured-Based Dimension/Value-Based Dimension that you don’t want to miss: How To - Measure Based Calculated Dimension and How to Use Measure-Based Dimensions in SAP Analytics Cloud.
If you learned something new in this blog post, share it with your friend! The next blog will introduce how to create a Sales Channel dimension based on the Order ID dimension. Don’t hesitate to follow this blog series if it’s useful for you!
*The product interface may vary depending on the product version
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