Developing Logical Data Model

In developing a logical data model, SAP Best Practice is to build the model using a top-down, key figure approach or a bottom--up DataSource approach. Determine Whether this statement is true or false.

A. True
B. False

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Explanation

When developing a logical data model, SAP recommends using either a top-down, key figure approach or a bottom-up DataSource approach. Let's explain each approach:

Top-down, key figure approach

You start by identifying the key figures (also known as measures or metrics) that are important for your reporting or analysis. Key figures represent the numerical values you want to analyze, such as sales revenue, quantities, costs, etc. Once you have identified the key figures, you build the data model by defining the necessary characteristics (also known as dimensions) that provide context to the key figures. Characteristics represent attributes or dimensions by which you want to analyze or filter your data, such as product, customer, region, time, etc. This approach focuses on the key figures and their associated characteristics, allowing you to design a data model that aligns with your reporting and analysis requirements.

Bottom-up DataSource approach

You start by analyzing the existing data sources or transactional systems that contain the data you want to integrate into SAP BW. You identify the data sources and their fields (also known as DataSource fields), which represent the columns or attributes in the source systems. You then build the data model by mapping these DataSource fields to InfoObjects. InfoObjects are the building blocks of the data model, representing characteristics and key figures. This approach allows you to leverage the existing data sources and their structures to build your data model.

Both approaches have their advantages and can be used depending on the specific requirements of your project. SAP recommends following a top-down, key figure approach or a bottom-up DataSource approach because they provide structured and proven methodologies for designing the logical data model.

The answer is A.
 

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