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Data Governance Framework Explained

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Table of Contents

Introduction

A data governance framework is one of the best ways to ensure that your organization benefits from your business data. Data governance is the practice of governing an organization’s data with defined structures, processes, and policies. It’s an important concept for companies big and small who wish to have control over their data, especially in light of recent data privacy concerns. 

A data governance framework can help companies address these concerns while they pursue their goals of using their data more effectively to drive business decisions and improve internal operations. In this guide, let’s go over what exactly constitutes a data governance framework, what its benefits are, and how you can implement one within your organization today.

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What is a data governance framework?

A data governance framework consists of policies, standards, and procedures that help organizations manage their data. In addition to outlining how an organization should collect, store, and use its data, a data governance framework can also be used to determine who has access to which information in an organization. A data governance framework will help you manage all data more efficiently, whether structured or unstructured, internal or external, and personal or company information. It also enables effective collaboration between departments in order to ensure everyone has access to the right data at the right time. 

A well-thought-out data governance framework helps ensure that all users have access to all of the information they need while preventing unauthorized users from accessing sensitive data. The goal of any data governance framework is to create an environment where business decisions are made with confidence. It ensures data is trusted throughout an organization and is accurate and relevant. It allows companies to make better decisions faster, based on real data instead of estimates or guesses.

The Advantages of a Data Governance Framework

The Data Governance Framework is a scalable and collaborative data governance solution for enterprises. It’s designed to build a data-driven culture of trust, transparency, and compliance. Here are some of the data governance framework’s most significant advantages:

  • A data governance framework helps bring structure to your organization’s approach to data. It allows for standardization and consistency, as well as streamlining of processes and practices. 
  • A governance framework can help you understand what types of data are available in your organization, how they are used, who uses them, where they are stored, and how they are secured. 
  • A governance framework provides a way to track compliance with regulations such as GDPR and the California Consumer Privacy Act (CCPA).
  • Easily accessible data ensures that everyone has access to information when they need it. 
  • An effective governance framework ensures that decision-makers have access to accurate data at all times. 
  • Ensures data quality by ensuring that only high-quality data is retained within an organization. 
  • Reduces risk by helping organizations make informed decisions based on relevant and up-to-date data.

The purpose of the data governance framework

The purpose of a data governance framework is to collect, classify, protect, and analyze all types of data throughout their lifecycle in order to prevent security risks. A data governance framework can also help reduce risk by identifying sensitive information so it can be protected appropriately.

Organizations must look to establish an end-to-end data governance framework that helps them achieve several goals. First, it should help organizations understand what personal data they have, where it resides, and how it’s being used. Second, it should provide visibility into who has access to personal data and how they’re using it. Third, it should allow for monitoring of compliance with regulations such as GDPR. Fourth, it should support easy remediation in the case of noncompliance or risk of non-compliance with regulations such as GDPR and the California Consumer Privacy Act (CCPA). Finally, it should be adaptable to changing requirements over time.

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Data Governance Framework for Successful GDPR Implementation

The GDPR or General Data Protection Regulation came into effect on May 25, 2018. The regulation aims to give citizens of EU countries more control over their personal data. Organizations will be required to report any breaches within 72 hours of discovery and must obtain consent from customers before using their data for marketing purposes. 

The EU’s General Data Protection Regulation (GDPR) requires organizations to protect all personal data they collect or receive about individuals within their jurisdiction. The regulation also gives citizens more control over how companies use their data. It applies to any organization that processes the personal information of people residing in Europe. Organizations must implement a data governance framework to ensure compliance with these new regulations. Data governance enables key compliance actions, including transparency, accountability, auditability, traceability, monitoring, and control. 

The pressure on organizations to establish and maintain excellent data governance is rising. They need to figure out which data governance framework will best support their unique data governance plan. There is no one-size-fits-all data governance framework. Every organization is different and, hence, needs a different data governance strategy. 

A framework will help you establish a structured approach to data governance by providing transparency into your organization’s information assets. It can also be used as a roadmap for the implementation of any new tools or processes that might be needed to support your efforts. To streamline the IT processes or protect the organization from security breaches, every organization should definitely consider implementing a data governance framework.

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