1. SAP Glossary
  2. SAP Information Steward
  3. Data Insight project


What is Data Insight project in SAP (EIM-IS - SAP Information Steward)?


SAP Term: Data Insight project

  • Component: EIM-IS

  • Component Name: SAP Information Steward

  • Description: A collaborative space for data stewards and data analysts to assess and monitor the data quality of a specific domain and for a specific purpose such as customer quality assessment, sales system migration, and master data quality monitoring.


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  • Key Concepts: 
    Data Insight projects are a feature of the SAP Information Steward (EIM-IS) component. They enable users to analyze data quality and identify potential issues in their data. Data Insight projects provide a comprehensive view of the data, including its structure, content, and relationships. They also provide a range of tools to help users identify and address data quality issues. 
    
    How to use it: 
    Data Insight projects can be created in the SAP Information Steward (EIM-IS) component. To create a project, users must first define the scope of the project by selecting the data sources they want to analyze. Once the scope is defined, users can then select the analysis tools they want to use to analyze their data. These tools include data profiling, data cleansing, and data enrichment. 
    
    Tips & Tricks: 
    When creating a Data Insight project, it is important to define the scope of the project carefully. This will ensure that only relevant data is analyzed and that any potential issues are identified quickly and accurately. Additionally, it is important to use the right analysis tools for the job. For example, if you are looking for potential issues in your data, then you should use data profiling tools rather than data cleansing or enrichment tools. 
    
    Related Information: 
    For more information on Data Insight projects and how to use them, please refer to the SAP Information Steward (EIM-IS) documentation. Additionally, there are many online resources available that provide tutorials and tips on how to use Data Insight projects effectively.
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