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Michael_Soprano
Michael_Soprano
Level 10
July 23, 2024
Solved

Schema data model in Airlines

  • July 23, 2024
  • 1 reply
  • 534 views

I am preparing demo for customer from airline industry and would like to show them Schema model.

I saw that article but its not enough: https://experienceleague.adobe.com/en/docs/experience-platform/xdm/schema/industries/travel-hospitality

What do you think about such a data model:

1. Profile data from www

2. Profile data from app 

3. Event data from www

4. Event data from app

5. Event data bookings (app & www) 

6. Call center events 

What do you think about that?

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    Best answer by DavidRoss91

    Hi @michael_soprano ,
    Found this from some documentation best practices:

     

    Data Integration: Ensure data from various sources is seamlessly integrated to create a unified customer view. This might involve developing a central profile that consolidates information from different touchpoints.

    Compliance: Verify that your data model adheres to privacy regulations such as GDPR or CCPA. This involves handling personal data responsibly and offering users control over their data preferences.

    Real-Time Processing: Evaluate how real-time or near-real-time data processing could benefit your use case, particularly for event data.

    Data Enrichment: Consider enriching the data with additional or external sources to gain deeper insights and enhance user profiles.

    Schema Evolution: Be ready for schema changes as new data sources or attributes become relevant. Ensure your system can adapt to these changes without disrupting existing processes.

    1 reply

    DavidRoss91
    Community Advisor
    DavidRoss91Community AdvisorAccepted solution
    Community Advisor
    August 28, 2024

    Hi @michael_soprano ,
    Found this from some documentation best practices:

     

    Data Integration: Ensure data from various sources is seamlessly integrated to create a unified customer view. This might involve developing a central profile that consolidates information from different touchpoints.

    Compliance: Verify that your data model adheres to privacy regulations such as GDPR or CCPA. This involves handling personal data responsibly and offering users control over their data preferences.

    Real-Time Processing: Evaluate how real-time or near-real-time data processing could benefit your use case, particularly for event data.

    Data Enrichment: Consider enriching the data with additional or external sources to gain deeper insights and enhance user profiles.

    Schema Evolution: Be ready for schema changes as new data sources or attributes become relevant. Ensure your system can adapt to these changes without disrupting existing processes.

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