Source systems rarely agree on formats, IDs, or currencies. Kollect*ETL maps, cleanses, and reshapes every extracted record into the consistent, validated structure your downstream platforms expect.
Transformation sits between extraction and loading. Kollect*ETL applies mapping, cleansing, and normalisation rules so every downstream platform receives data in one consistent, validated shape.
Integration teams whose downstream platforms (collections, recovery, receivables, ERP) need consistent, validated data. Particularly valuable when source systems disagree on customer IDs, account number formats, or currency representations across products.
Talk to UsRules are declarative and reusable, so when a source changes format you update a mapping, not a codebase.
Define field-level mappings between source and target schemas, visually and reusably.
Apply validation, de-duplication, and enrichment rules so bad data is caught, not passed on.
Standardise currencies, dates, and locales for Malaysian and ASEAN deployments.
Save the mapping as a reusable template and apply it across every similar feed.
Each capability stands on its own and strengthens the others when combined. Continue through the Kollect*ETL integration spine.
