Databoost
Databoost is a term used in information technology and data science to describe techniques and tools designed to improve the quality, reach, and usefulness of data. The term is not tied to a single standard specification and may be used as a generic label for data enrichment, cleansing, and augmentation processes, as well as for platforms that automate such tasks.
Common meanings include: data enrichment services that append external data to existing records to improve accuracy
Related concepts include data cleaning, data normalization, data enrichment, ETL/ELT, data governance, and feature engineering for
Limitations include potential data privacy concerns, data provenance issues, and the need to ensure augmented data
See also: data enrichment, data cleansing, data governance, ETL, feature engineering, boosting (machine learning).