1. SAP Glossary
  2. Demand Signal Management
  3. relative market share


What is relative market share in SAP CA-DSM - Demand Signal Management?


SAP Term: relative market share

  • Component: CA-DSM

  • Component Name: Demand Signal Management

  • Description: The percentage value a product or market has in relation to its parent node in a product or market hierarchy. Market research data is structured into hierarchies, for example, product or market hierarchies. Each node in a hierarchy has an aggregated sales value. The relative market share of a node represents the percentage value of the sales value of that node in relation to the sales value of its parent node.


Smart SAP Assistant

  • Key Concepts: 
    Relative market share is a metric used to measure the performance of a company’s products or services in comparison to its competitors. It is calculated by dividing the company’s market share by the total market share of all competitors. The result is expressed as a percentage. 
    
    How to use it: 
    The SAP Demand Signal Management (CA-DSM) component can be used to measure relative market share. It provides insights into the performance of a company’s products or services in comparison to its competitors. It also provides data on customer preferences, pricing, and promotional activities. This data can be used to make informed decisions about product and service offerings. 
    
    Tips & Tricks: 
    When using the CA-DSM component, it is important to consider the accuracy of the data being used. Data should be collected from reliable sources and should be up-to-date in order to ensure accurate results. Additionally, it is important to consider the context of the data when interpreting results. 
    
    Related Information: 
    The CA-DSM component can be used in conjunction with other SAP components such as SAP Business Intelligence (BI) and SAP HANA for more comprehensive insights into customer preferences and market trends. Additionally, it can be used with other analytics tools such as Tableau and Power BI for more detailed analysis.
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