caralegal Kundenservice

If data types are uncategorized, this will also appear in the export of the record of processing activities.

Check for Duplicate Groups of People:

1. Review your groups of people to identify duplicates. Merge or remove duplicate groups to create a consolidated and clean list.

1. Create new data categories as needed based on the specific topics or groupings of your data. This helps refine and better organize the data structure.

1. Utilize the drag-and-drop feature in Caralegal to move data types into the appropriate categories. Select a data type and drag it into the correct category to ensure precise classification.

OR - For Multiple Data Types, Use the "Move" Option:

1. Select the data types or categories to be moved.
   
    
2. Confirm your selection.

1. Check for Duplicate Groups of People:
 1. Review your groups of people to identify duplicates. Merge or remove duplicate groups to create a consolidated and clean list.
2. Add New Data Categories:
 1. Create new data categories as needed based on the specific topics or groupings of your data. This helps refine and better organize the data structure.
3. Use the Drag-and-Drop Feature:
 1. Utilize the drag-and-drop feature in Caralegal to move data types into the appropriate categories. Select a data type and drag it into the correct category to ensure precise classification.
4. OR - For Multiple Data Types, Use the "Move" Option:
 
 
 1. Select the data types or categories to be moved.
 
 
 2. Confirm your selection.

These steps ensure clear and efficient categorization of data, making it easier to manage and locate information in caralegal.

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How can data types be sensibly categorized or shifted?

caralegal.eu

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DE	ENG
Gesundheitsdaten	Health Data
Stammdaten	Master Data
Bestelldaten	Order Data
Zahlungsdaten	Payment Data
Vertragsdaten	Contract Data
Videoüberwachungsdaten	Video Surveillance Data
Bewerbungsdaten	Application Data
Newsletterdaten	Newsletter Data
Benutzerdaten	User Data
Gehaltsdaten	Loan Data
Nutzungsdaten	Usage Data
Finanzdaten	Finance Data
Kontaktdaten	Contact Data