OnClik

What is Data Quality?

Data quality refers to the accuracy, completeness, and reliability of data.

How it works

Data is validated, cleaned, and monitored for consistency.

Example

Removing duplicate customer records.

Why it matters

  • Improves analytics accuracy
  • Enables better decisions
  • Reduces errors

How OnClik uses this

OnClik ensures high data quality to enable accurate automation and decision-making.

Related Terms

Data Governance, ETL, Data Pipeline, Analytics