How does data quality impact predictive analytics?

How does data quality impact predictive analytics?

Data quality is crucial in predictive analytics because it directly affects the accuracy of predictions. Poor quality data can lead to misleading insights.

What are some common data quality issues?

Common data quality issues include missing values, duplicates, inconsistencies, and inaccuracies. These can skew results significantly.

How can I improve data quality for my analytics?

You can improve data quality by implementing data validation rules, regular audits, and using data cleansing tools to ensure accuracy.

What role does data governance play in this?

Data governance establishes policies and standards for data management, ensuring that data quality is maintained across the organization.