Data governance ensures data quality and security from "summary" of Data Science For Dummies by Lillian Pierson
Data governance is a critical component of any organization's data strategy. It involves the creation and enforcement of policies, procedures, and standards for managing data assets. One of the key objectives of data governance is to ensure data quality and security. Data quality refers to the accuracy, completeness, consistency, and reliability of data. Poor data quality can lead to incorrect analysis and decision-making, resulting in financial losses and damaged reputation. Data governance helps address data quality issues by establishing processes for data validation, cleansing, and enrichment. Furthermore, data governance plays a crucial role in ensuring data security. With the increasing volume of data being generated and stored by organizations, data security has become a major concern. Unauthorized access to sensitive data can lead to data breaches, privacy violations, and legal consequences. Data governance helps mitigate these risks by defining access controls, encryption methods, and data protection policies. It also ensures compliance with data privacy regulations such as GDPR and HIPAA. By implementing robust data governance practices, organizations can protect their data assets and build trust with customers and stakeholders.- Data governance is essential for maintaining data quality and security. It provides a framework for managing data assets effectively and mitigating risks associated with poor data quality and security breaches. By prioritizing data governance, organizations can unlock the full potential of their data and drive business success.
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