Data processing & cleaning
Ingestion of raw datasets from heterogeneous sources, followed by validation, deduplication, normalisation and error correction to produce dependable inputs.
- Cleaned datasets
- Validation reports
- Data quality metrics
Services
Each engagement is scoped around your data, your objective and the format in which you need results delivered.
Ingestion of raw datasets from heterogeneous sources, followed by validation, deduplication, normalisation and error correction to produce dependable inputs.
Conversion of unstructured and semi-structured material into consistent schemas, with attribute derivation and enrichment where additional context is required.
Categorisation of records and entities using proprietary taxonomies, statistical methods and machine learning models trained for the client's domain.
Construction of quantified indicators that compress complex records into comparable values, supporting prioritisation and screening workflows.
Preparation of analytical reports and preliminary informational assessments that summarise findings and highlight patterns relevant to the client's objective.
Design and operation of repeatable data-processing pipelines using our own software, algorithms and automation so recurring workloads run reliably.
Not sure which service fits? Describe the dataset and the decision it needs to support.
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