Operations & data
From scattered sources to one structured database.
Automated gathering and tracking of data from scattered online and document sources, cleaned and enriched with OCR and NLP into a single structured database.
- Engagement
- Client project
- Client
- Multi-business corporate group
- Capabilities
- Intelligent automation · Data engineering · NLP
- data gathering and tracking that used to be manual
- Automated
- documents cleaned, structured and enriched
- OCR + NLP
The problem
Important business data lived in many places: websites, PDFs and scanned documents. Collecting it meant manual copy-and-paste, it went stale quickly, and nobody could query it in one place.
Our approach
- Scheduled collectors gather and track data from the relevant sources automatically.
- OCR and NLP turn scanned and unstructured documents into clean, consistent fields, and enrich them with extracted entities.
- A structured database brings everything together so it can be searched, reported on and fed into downstream analysis.
The result
Manual data collection was replaced by an automated, always-current database that the team can query directly, and a clean foundation for analytics and AI on top.
Client details are anonymised. Demos are illustrative, built on synthetic data and fictional brands.