Data & Analytics

Data Quality: The Foundation Every Analytics Project Needs

Bad data costs more than no data. Simple practices to measure and improve data quality.

Infivate Networks Team 1 min read
Data Quality: The Foundation Every Analytics Project Needs

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

Business data owners, supported by data engineering.

It helps as data grows, making definitions and owners discoverable.

Need help with this?

Talk to the Infivate Networks team.

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