Zingg is a brand new open-source undertaking that goals to unravel a few of the challenges of a number of information information present for a single particular person. It affords deduplication of information and entity decision.
“These information could be in single or a number of programs and so they have variations throughout fields which makes it exhausting to mix them collectively, particularly with rising information volumes. This hurts buyer analytics – establishing lifetime worth, loyalty packages or advertising channels is unimaginable when the bottom information just isn’t linked,” the undertaking’s maintainers defined on its GitHub web page.
When AI algorithms are utilized to the information, they’re unable to provide right outcomes when a number of copies of the identical information are being handed by.
Zing affords the flexibility to deal with any entity, join disparate information sources, outline domain-specific features to enhance matching, and scale to giant volumes of information. It additionally has an interactive coaching information builder that may construct correct fashions from small coaching samples.
It may be used to construct unified and trusted views of consumers, combine information silos throughout mergers and acquisitions, and enrich information from exterior sources.