In SAP Analytics Cloud, data concatenation can be performed on Embedded datasets, Standalone datasets, and Imported data models. This process involves combining data from multiple sources or tables into a single dataset or model, providing a unified viewof the data. This is particularly useful for analyses that require a comprehensive dataset compiled from various data sources.

References:

• SAP Analytics Cloud Help Documentation: Working with Datasets
• SAP Analytics Cloud User Guide: Concatenating Data in Models and Datasets

To aggregate measures for columns such as Country, Region, City, and Customer Name as a single column in an embedded dataset, creating a level-based hierarchy is the most effective approach. This type of hierarchy allows you to define a multi-level structure that represents the logical relationship between different geographical entities and customer names. By doing so, you can easily perform aggregations and analyze data at various levels of detail, from the broadest level (e.g., Country) down to the most specific one (e.g., Customer Name).

References:

• SAP Analytics Cloud Help Documentation: Creating Hierarchies in Models
• SAP Analytics Cloud User Guide: Data Modeling and Hierarchies

To display differences between measures in a chart within SAP Analytics Cloud, you can use the Variance feature. Variance helps to highlight the differences or gaps between two data points or measures, making it easier to identify trends, outliers, or areas requiring attention in visual representations like charts.

References:

• SAP Analytics Cloud Help Documentation: Variance Analysis in Charts
• SAP Analytics Cloud User Guide: Displaying Measure Differences Using Variance