- Data science teams
- Analytics leaders
- Operations teams
- AI project owners
Catalogue › Data & Artificial Intelligence › Data Sourcing and Cleaning as a Service
Data & Artificial Intelligence
Data Sourcing and Cleaning as a Service
The data groundwork every model and dashboard depends on, run as a managed service: locating and acquiring the right data, lawful-basis checks, de-duplication, standardisation, labelling coordination and quality measurement - delivered as documented, model-ready datasets.
- Model-ready data with documented lineage
- Duplicates, gaps and inconsistencies driven down measurably
- Lawful sourcing the compliance team can verify
- Datasets a new team member can understand from the docs
- Source identification and acquisition
- Lawful-basis and licensing checks
- De-duplication and entity resolution
- Standardisation and schema mapping
- Labelling pipeline coordination
- Data-quality scoring and documentation
- Source inventory with lawful-basis record
- Cleaned, standardised datasets with lineage
- Data-quality scorecards before and after
- Labelling guidelines and labelled sets where scoped
- Refresh procedures and handover documentation
- One-time sourcing and clean-up
- Recurring data-quality service
- Labelling coordination
- Migration-linked cleansing
- Source count and access complexity
- Volume and duplication rate
- Labelling scope
- Compliance and licensing checks
- Refresh cadence
Content on this page comes from the governed ARRIX catalogue record DAI-12; pricing is confirmed only through a reviewed quotation.