Glossary
ETL
Quick answer
Extract, transform, load: moving data out of source systems, cleaning and reshaping it, and loading it somewhere new.
ETL is how data gets from tools like a help desk, CRM or ERP into a consistent format. The transform step is where fields are standardized, duplicates removed and sensitive values masked.
When preparing a dataset for licensing, an ETL-style process also records what was changed, which supports the dataset's documentation and lineage.
Why ETL matters when licensing company data to AI
ETL stands for extract, transform and load: moving data out of source systems, cleaning and reshaping it, then loading it somewhere new. When a company prepares records for licensing, the extract step pulls data from tools such as a help desk, CRM or ERP. The transform step standardizes fields, removes duplicates and masks sensitive values, and the process logs what changed.
- 01Your work records
- 02Personal details removed
- 03You approve the release
- 04Licensed to AI developers
Related terms
Related resources
- IndustryBPO & contact centers data
- IndustryConstruction data
- QuestionCan SaaS data be licensed?
- QuestionCan CRM data be licensed?
- InsightCan SaaS companies sell their data to AI companies?
- DataStandard operating procedures
- DataCall recordings
- GlossaryEnterprise data
- InsightCan property management companies sell their data to AI companies?
- InsightCan e-commerce brands sell their data to AI companies?
- SolutionEnterprise data: the records of how organizations actually work
- SolutionProprietary data: information only your company has
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