Modeling with Personal Data
Data protection and privacy laws, such as the European Union's General Data Protection Regulation (GDPR), require that personal data is handled lawfully, fairly, and transparently. SAP Business Data Cloud helps you track personal data through your modeling processes to ensure that it is properly handled and protected.
Introduction to Data Protection and Privacy
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Personal Data is information that can be used to identify an individual, either on its own or in combination with other data, directly or indirectly. For example, height, weight, eye and hair color.
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Sensitive Personal Data is any of the various categories of high-risk data as defined under different international data protection and privacy laws. These include:
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Data concerning vulnerable persons, such as children or differently-abled individuals
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Data to evaluate and predict a person’s behavior
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Passwords and answers security questions
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Employment, professional, and education details, such as salary, trade union membership, or degrees or certifications obtained
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Data revealing someone’s personal details, such as political opinions, religious beliefs, marital status, or criminal convictions and offenses
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Health data (for example, the US Health Insurance Portability and Accountability Act (HIPAA))
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Financial information, such as bank account and credit card data
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Identify Objects Containing Personal Data
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Remote tables - See Review and Edit Imported Table Properties.
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Local tables - See Creating a Local Table.
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Graphical views - See Creating a Graphical View.
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SQL views - See Creating an SQL View.
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Task Chain - See Creating a Task Chain.
If the object outputs any columns containing Personal Data or Sensitive Personal Data then it will itself inherit the appropriate tag:
