Data governance consists of rules for how marketers and advertisers handle customer data. At its foundation, data governance doesn’t just protect customer data for privacy but also protects organizations from legal liability triggered by data breaches and other forms of data misuse. It also protects a company’s reputation because bad data governance and data breaches are potentially embarrassing and can negatively impact brand goodwill. All this impact’s marketers and advertisers and how they work.
Goals and Objectives
Ensuring data privacy is part of the larger topic of data governance. Data governance requires organizations to know what data they have, where it’s stored, how it flows through their IT systems, and how it’s used. Data governance best practices allow organizations to maintain data integrity and trust in their data.
Encryption is a critical component of data protection, as it can help prevent data theft or unauthorized access. It is the process of converting data into a code that can only be read by authorized parties.
Data security technologies include:
Authentication and authorization
Data backup and resilience
Use Case Summary
Ten of the most important use cases for data governance are as follows:
Data quality management. Ensuring the accuracy, consistency, and completeness of data helps organizations make better decisions and improves overall operational efficiency.
Data security and privacy. Data governance plays a critical role in protecting sensitive information, adhering to privacy regulations, and preventing unauthorized access or data breaches.
Compliance and regulatory requirements. Meeting industry-specific regulatory requirements — such as GDPR, HIPAA, and CCPA — is essential to avoid penalties and maintain a positive reputation.
Data lineage and traceability. Understanding the data’s origin, flow, and transformations helps maintain transparency, data integrity, and facilitate audits.
Data cataloging and metadata management. Having a centralized repository of data assets and their metadata enables users to quickly discover, understand, and use the data efficiently.
Data access and sharing. Ensuring that the right users have access to the right data, with appropriate permissions, is crucial for collaboration and preventing unauthorized access.
Data life-cycle management. Implementing policies and procedures for data creation, storage, archiving, and deletion ensures optimal resource utilization and regulatory compliance.
Data standardization and integration. Promoting the use of consistent data formats, definitions, and structures facilitates data integration and analysis across the organization.
Master data management. Establishing a single, authoritative source of core business data, such as customer or product information, enables better decision-making and reduces data inconsistencies.
Change management. Data governance helps organizations manage and adapt to changes in data requirements, business processes, and technologies.