Data quality and integration
Customer problem
Important information is split across spreadsheets, databases, documents or external sources and cannot be trusted or compared consistently.
What IRELCO can do
- Data cleansing, deduplication and normalisation
- Enrichment and identifier reconciliation
- ETL and fragmented-source integration
- Repeatable pipeline and quality-control design
Typical deliverables
Data-quality assessment, transformation rules, mapped schemas, reusable pipelines, exception queues and exportable datasets.
Suitable customers
Marketplaces, retailers, regulators, testing organisations, compliance teams and data-rich SMEs.
Evidence: FOLO-UP data pipelines and Alan’s data-quality, database, regex and taxonomy experience. Scale and service levels are agreed for each engagement.
