Artificial Intelligence
Data Enrichment
Plain English
Adding more useful information to glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term.
Definition
glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term enrichment is the glossaryProcessA process is a defined sequence of steps used to achieve a specific outcome.Open glossary term of enhancing existing data by adding additional information or glossaryContextThe surrounding conditions that shape behaviour and decisions.Open glossary term.
In practice
Used to improve customer profiles, product glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term, or analytics glossaryInsightAn insight is a meaningful understanding that explains why something is happening and what it means.Open glossary term.
The reality
Enrichment can introduce noise or inaccuracies if sources are unreliable.
FAQ
Common questions
A few practical answers to the questions that usually come up around this term.
What is data enrichment?
It is adding additional information to existing glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term.
Why is data enrichment important?
It improves glossaryInsightAn insight is a meaningful understanding that explains why something is happening and what it means.Open glossary term and glossaryDecision MakingDecision making is the process of selecting the best course of action from available options based on information, goals, and constraints.Open glossary term.
What data is enriched?
Customer, product, and glossaryBehavioural DataBehavioural data captures what users actually do within a product or service.Open glossary term.
What is the risk?
Adding inaccurate or irrelevant glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term.
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