Data Quality: The Foundation Every Analytics Project Needs
Bad data costs more than no data. Simple practices to measure and improve data quality.
Symptoms of poor quality
Duplicate customers, missing fields, inconsistent codes and numbers that never match between reports. Users stop trusting analytics and go back to spreadsheets.
Measure six dimensions
- Completeness
- Accuracy
- Consistency
- Timeliness
- Uniqueness
- Validity
Fix at the source
Cleaning data downstream every month is expensive. Add validation in forms and systems where data is created, and assign data stewards to key domains.
Automate checks
Data tests in pipelines catch problems before they reach dashboards, with alerts to owners when thresholds are breached.
How Infivate Networks can help
Infivate Networks delivers Data & Analytics for organisations across India — from assessment and design to implementation and ongoing support. Talk to our team or email [email protected].
Frequently asked questions
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