What is the impact of monitoring on data quality?

What is the impact of monitoring on data quality?

Monitoring plays a crucial role in ensuring data quality by identifying errors and inconsistencies in real-time.

Can you give me examples of how monitoring improves data quality?

Sure! Monitoring can help detect duplicate entries, track data changes, and ensure compliance with data standards.

What tools are commonly used for data monitoring?

Common tools include data quality dashboards, automated data profiling tools, and ETL (Extract, Transform, Load) software.

How often should data monitoring be performed?

It depends on the data's nature, but regular monitoring, such as daily or weekly, is often recommended for critical datasets.

What are the consequences of poor data monitoring?

Poor data monitoring can lead to inaccurate insights, decision-making errors, and ultimately, loss of trust in data-driven processes.