#firstdealofthenewyearastylz# Data governance is a set of practices, policies, and procedures that ensure the proper management and use of an organization's data assets. The primary purpose of data governance is to: Ensure Data Quality and Integrity 1. *Data accuracy*: Ensure data is accurate, complete, and consistent. 2. *Data security*: Protect data from unauthorized access, breaches, or cyber threats. 3. *Data compliance*: Ensure adherence to regulatory requirements, laws, and industry standards. Promote Data Sharing and Collaboration 1. *Data accessibility*: Make data available to authorized users, departments, and systems. 2. *Data standardization*: Establish common data definitions, formats, and taxonomies. 3. *Data integration*: Combine data from disparate sources to provide a unified view. Support Business Decision-Making 1. *Data-driven insights*: Provide accurate and timely data to inform business decisions. 2. *Data analytics*: Enable data analysis, reporting, and visualization to support business intelligence. 3. *Data storytelling*: Present data in a clear, concise, and actionable manner. Manage Data Risk and Compliance 1. *Risk management*: Identify, assess, and mitigate data-related risks. 2. *Compliance management*: Ensure adherence to data-related laws, regulations, and standards. 3. *Audit and reporting*: Provide transparency and accountability through regular audits and reporting. Establish Accountability and Roles 1. *Data ownership*: Define data ownership and accountability. 2. *Data stewardship*: Assign data stewards to oversee data quality, security, and compliance. 3. *Data governance framework*: Establish a framework for data governance, including policies, procedures, and standards. By achieving these purposes, data governance enables organizations to maximize the value of their data assets, minimize data-related risks, and support informed business decision-making.