Enterprise data
Enterprise data: the records of how organizations actually work.
Quick answer
Enterprise data is the information an organization generates in the course of operating: communications, transactions, documents, tickets, code, workflows and domain-specific records. For AI developers, it is valuable because it reflects real professional work that is largely absent from public datasets.
- 01Your work records
- 02Personal details removed
- 03You approve the release
- 04Licensed to AI developers
Common enterprise data sources#
- CRM and sales systems
- Support desks and contact centers
- Email and collaboration tools
- Document management and wikis
- Code repositories and issue trackers
- ERP, finance and procurement systems
- Industry-specific operational software
Why AI developers want it#
Models trained mainly on public text struggle with specialized, multi-step business tasks. Enterprise data provides examples of how experts communicate, decide and complete work.
Responsible use#
Licensing enterprise data requires confirming rights, minimizing and de-identifying personal data, and limiting use contractually.
Related resources
- IndustryBPO & contact centers data
- GlossaryEnterprise data
- QuestionPublic data vs proprietary data: what's the difference for AI?
- QuestionDo AI labs buy financial data?
- InsightCan SaaS companies sell their data to AI companies?
- SolutionProprietary data: information only your company has
- SolutionOperational data: the step-by-step record of how work gets done
- IndustryRecruiting & staffing data
- DataStandard operating procedures
- InsightHow to monetize your business data: a practical guide
- InsightCan businesses license operational data?
- DataWorkflow data
See if your company qualifies
A short company assessment. No data uploads are needed.