Datasets

Explore customer experience datasets, their readiness, freshness, quality, and analytical usage.

Total Datasets

6

Registered data assets

Analytics Ready

4

Approved for analytical use

AI Ready

2

Prepared for model development

Needs Attention

2

Quality or freshness issue

Data lifecycle

  1. Source System
  2. Data Source Registration
  3. Integration / Ingestion
  4. Raw Data
  5. Validation
  6. Data Quality
  7. Transformation
  8. Dataset
  9. Metadata
  10. Data Lineage
  11. Approved Analytical Consumption
  12. AI / Analytics

Showing 6 of 6 datasets. Dataset names and volumes are simulated prototype values.

Dataset registry

Select a dataset to review schema, quality, metadata, lineage and consumption.

Source names, dataset names, record counts, quality scores, metadata values and lineage relationships shown here are simulated prototype data used for design validation. Data quality scoring, thresholds and completeness percentages are prototype representations and do not reflect an official NWC formula. Relevant assets are expected to synchronise with the NWC central data catalog and existing Data Quality environment rather than be replaced by this platform.