Importance of Data Governance in Organizations
Data governance is becoming a more important concept for enterprises of all sizes to embrace. The practice is concerned with how an organization handles one of its most precious commodities, namely its data. Governance provides processes by which decisions are made regarding how, when, and by whom data can be accessed and used.
Customizing Governance Based on Institutional Needs
データガバナンス initiatives may look very different based on the focus of the institutions creating the plans. The type of data that an organization utilizes has a tremendous bearing on how they construct their data governance policies.
Overcoming Challenges in Policy Definition
Defining these policies can be the most challenging aspect of developing a company’s data governance program. One way to alleviate some of the obstacles likely to be encountered is to adopt a data governance framework to build a firm foundation on which your policies can be built.
General Data Governance Frameworks
The Data Governance Institute (DGI) has created general frameworks that can be used by organizations whose focus varies based on their business or regulatory requirements. The purpose of a framework is to help an enterprise settle on the underlying components of their governance initiative.
Benefits of Following a Data Governance Framework:
- Create a clear mission for the data governance program.
- Ensure that there is value in your efforts.
- Establish who will be accountable for various aspects of the program.
- Maintain the scope and focus of the initiative.
- Define measurable successes.
Frameworks for Data Governance: A Focus on Diverse Organizational Needs
The DGI goes on to describe how a generic framework can be used by organizations with diverse reasons to build policies for data governance. Some examples are organizations focused on:
- データの質
- Defining, monitoring, and reporting on data quality.
- Identifying the stakeholders and their roles in the process.
- Privacy, Security, and Compliance
- Identifying stakeholders in governance scenarios focused on protecting sensitive data.
- Controlling risks associated with data handling and enforcing regulatory compliance requirements.
- Architecture and Integration
- Addressing challenges arising from major system development or acquisition.
- Creating consistent data definitions, supporting architectural standards and policies, and ensuring integration.
- Identifying the proper stakeholders remains crucial in this type of governance effort.
Universal Data Governance Frameworks
Many universal frameworks have been developed by organizations or governmental agencies to address various aspects of a company’s operations or データ管理. These can be an excellent resource to be used as the foundation of your data governance program.
They offer a standardized and tested method of codifying the requirements associated with the handling of data. In some cases, compliance with these frameworks is mandated by the type of data with which a business is involved.
Common Frameworks for Data Governance
- ISO 27001
Created by the International Standards Organization, this framework formally specifies a management system designed to provide information security. It lays out requirements that must be met when auditing information security management systems and is designed to assist an institution in their attempts to secure their data.
- ヒパア
について Health Insurance Portability and Accountability Act is enforced by law on any organization that handles and maintains health information. Specific parts of the act relate to IT and cybersecurity.
- PCI DSS
The Global Payment Card Data Security Standard is used by the credit card industry as a form of self-regulation. It guides businesses to process card information securely. Companies that handle credit cards are also managing personal information and may be impacted by other compliance regulations.
- GDPR
Enforced by the European Union since 2018, the General Data Protection Regulation affects anyone doing business with EU citizens. Compliance with its requirements is essential to avoid substantial financial penalties.
Implementing a Data Governance Framework
Regardless of the framework you choose to employ in your data governance initiative, you need the right tools to successfully implement it in your organization.
Essential Features of a Data Governance Tool
- A collaborative tool for building data definitions, naming standards, and a glossary of business terms.
- Effective communication of データモデル and metadata throughout the enterprise.
- A foundation for a sustainable data governance program.
IDERA’s ER/Studio Enterprise Team Edition offers:
- Features for developing and maintaining a viable data governance program.
- The capability to build an enterprise data model as a basis for the program.
- Discovery and documentation of existing data assets.
- Impact analysis for new policies and data modifications.
ER/Studio is a vital tool for facilitating a data governance program aligned with a robust framework, providing clear directives for handling organizational data.
