Data enrichment combines data and metadata to create a single, enhanced, more trusted source of data and what it means—ready for immediate use.
Coupling data with its metadata means that any data item comes with a ‘backpack’ filled with valuable information about itself. This enables interpretation of data based on meaning as well as active context based on state, use and audience.
NLP, ML, and statistical techniques process information (i.e., content, documents, and data) and enrich it with relevant metadata across multiple languages.
Link facts together in a knowledge graph and manage documents and triples together.
Annotate information instead of changing it to ensure data reliability and compliance.
Understand all aspects of the data journey throughout the supply chain.
IT Services Industry
Data enrichment makes your data more complete—better, more consumable, more trusted.
In the digital era, data is cheap, interpretations are expensive. An agile semantic data platform combines facts and what they mean to create reusable organizational knowledge.
A knowledge graph – a metadata structure sitting on a machine somewhere – has very interesting potential, but can’t do very much by itself. How do we put it to work?
Sharing data can be relatively easy. Sharing our specialized knowledge about data is harder – and current approaches don’t scale.
Don’t waste time stitching together components. MarkLogic combines the power of a multi-model database, search, and semantic AI technology in a single platform with mastering, metadata management, government-grade security, and more.
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