![]() ![]() Auditability - All data-related processes within the scope of data governance can and will be audited to ensure it’s being used properly for a specific purpose.This includes ethical data collection best practices compliant with regulations like the GDPR and CCPA. Integrity - Data governance stakeholders must be honest and truthful whenever discussing or using data.Be open with stakeholders, customers, and users about how the company is collecting and using data. Transparency - All data governance practices and procedures used by an organization must be transparent.To fully understand how data governance works, you must be able to apply these principles-often referred to as the data governance framework: The GDPR (General Data Protection Regulation) in Europe and the CCPA (California Consumer Privacy Act) are two prime examples, as is PCI compliance for credit card processing and HIPAA compliance for patient health data in the medical industry. There are several different reasons for implementing this type of framework, including regulatory concerns, compliance, and data security.Ĭertain people within a company won’t have access to all of the organization’s data-whether it be customer data, department financials, sales data, or something else.įor specific types of data, internal and external users may only be able to access part of the data while the rest remains hidden or confidential.ĭata privacy and data protection worldwide have been under closer scrutiny lately as new regulations are forcing companies to crack down on the way sensitive data is protected. The overall purpose of data governance is to create a consistent approach to managing data assets company-wide. The implementation of data architecture and toolsets, for example, falls into the data management category, whereas data governance refers to the big-picture strategy that informs and directs that implementation.Īt its core, data governance consists of official rules, policies, processes, and regulations that determine the way an organization collects, stores, and shares data at scale. Data governance is a subtopic within the overall scope of data management. It’s worth noting that data governance is not the same as data management, although the two terms are often confused. It’s the set of policies and procedures explaining who has authority and control over different types of data and how a company’s data assets can be used. What is Data Governance Anyway?ĭata governance is a system that defines how an organization handles data. How this data is managed, stored, and shared will be defined by data governance best practices. Today, organizations worldwide are collecting massive amounts of data from multiple sources. ![]()
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