Data Enrichment functionalities

[SvenHoeffler]

In order to better organize and prepare integration data, the Data Hub will be expanded with a suite of functionalities to enhance, enrich, and cleanse stored data sets. Due to the variety of use-cases, these functionalities will be highly configurable and expandable.

As an initial proof of concept, these functions will be implemented first:

• Scoring: Automatically assign a numerical score to objects based on configured criteria
• Tagging: Automatically assign one or several tags to objects based on configured criteria
• Deduplication: Merge and eliminate duplicate and/or similar entries
• Formatting: Change the format of certain fields or entire objects
• Filtering: Delete objects based on configured criteria.

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Acceptance Criteria:

• Data Hub offers endpoint for executing these functions
• Data Hub offers framework for these and future functions
• Scoring implemented
• Tagging implemented
• Deduplication implemented
• Formatting implemented
• Filtering implemented

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