You're facing data quality issues in data mining. How do you tackle them with data governance practices?
Data quality issues can significantly hinder the effectiveness of data mining, a process where patterns and knowledge are extracted from large volumes of data. Poor data quality can lead to inaccurate conclusions and ineffective business strategies. To mitigate these issues, implementing robust data governance practices is crucial. Data governance refers to the overall management of the availability, usability, integrity, and security of the data employed in an organization. By incorporating data governance, you can ensure that the data used for mining is accurate, complete, and reliable.