Data Governance

Data governance is the framework an organisation uses to manage data as an asset. It assigns ownership and accountability, defines standards for quality, access, retention and classification, and sets procedures for compliance, audits and issue resolution.

Why it matters

Without governance, teams duplicate datasets, disagree about metric definitions, store sensitive records carelessly and cannot answer who has access to what. Good governance supports reliable analytics, safe AI use and regulatory obligations such as data protection laws, whose details vary by country. It is mostly people and process, supported by tools like data catalogues and access controls, rather than a single product.

Example

Dataset: customer_orders
Owner: Head of Sales Operations     Steward: Data analyst
Classification: contains personal data
Access: role-based, quarterly review
Retention: delete after the period set in policy
Definition: "active customer" = purchase in last 90 days

Common mistakes

• Treating governance as a one-time document rather than an ongoing practice.
• Naming no owner, so nobody is accountable for quality.
• Making rules so heavy that teams route around them.

Related

• Data cleaning
• GDPR
• PII
• Data warehouse

यह पेज सामान्य जानकारी है, जिसे हमारी संपादकीय टीम ने लिखा है और दस्तावेज़ीकरण बदलने पर अपडेट किया जाता है। सर्वर और प्रदाता अलग-अलग होते हैं, इसलिए बदलाव पहले सुरक्षित तरीके से जाँचें। देखें: संपादकीय नीति और अस्वीकरण.