登录查看更多内容

Which data governance solutions offer the best data stewardship and data ownership features?

由人工智能和领英社区提供技术支持

Managing data effectively is crucial for any organization that aims to leverage its information assets to gain competitive advantage and ensure compliance with regulations. Data governance solutions are key to achieving this, as they provide a framework for data quality, privacy, security, and usability. Within this framework, data stewardship and data ownership are fundamental roles that ensure data is managed as a valuable resource. This article explores which data governance solutions stand out when it comes to supporting these roles, ensuring that your data is not only secure but also primed for strategic use.

此文章中的业界达人

由社区从 4 条内容中精选。了解更多

Nitin Singhal

Data Guy, Tech and culture transformation, AI Enthusiast, Ex - Twitter, Visa, PayPal, JPMC

1 Data Stewardship

Data stewards play a pivotal role in data governance by overseeing the management of data elements and ensuring their quality and consistency. The best data governance solutions for data stewardship offer features that allow stewards to define data standards, document metadata, and monitor data quality. These tools often include workflows that facilitate the resolution of data issues and collaboration among various stakeholders. They should also provide robust reporting capabilities to track compliance with data policies and standards.

添加您的观点

Nitin Singhal

Data Guy, Tech and culture transformation, AI Enthusiast, Ex - Twitter, Visa, PayPal, JPMC
举报内容
Data Governance and Management is the discipline that helps surface the economic value of data in the most seamless fashion. First of all, data stewardship should be a more systematic process and less human (process) guarded; anytime you enforce stewardship with a mindset, "this is how you do" instead of "this is why and what will happen if not." things will be deemed as unwanted and non-value add tax. These tools should drive automation to capture when the data life cycle deviates from the usual path (with automated rules). Stewards should own the framework and not necessarily own the human review and signoffs.

已翻译

赞
Aashima Sharma

Senior Digital Marketing Specialist- Data Dynamics
举报内容
While various data governance solutions offer strong stewardship and ownership features, Data Dynamics' Unified Data Management Platform (UDMP) takes it a step further. UDMP centralizes these functionalities, providing a clear ownership structure with data stewards, comprehensive lineage tracking, and the ability to define and enforce ownership policies. This empowers data owners with self-service management tools, ultimately streamlining data governance, improving quality, and ensuring regulatory compliance

已翻译

赞

2 Data Ownership

Data ownership refers to the responsibility for data assets within an organization. A top-notch data governance solution should empower data owners with the ability to control access to data, define usage rights, and ensure that data handling complies with legal and regulatory requirements. The solution should facilitate clear communication of ownership responsibilities and provide mechanisms for enforcing ownership policies, such as access controls and audit trails.

添加您的观点

Nitin Singhal

Data Guy, Tech and culture transformation, AI Enthusiast, Ex - Twitter, Visa, PayPal, JPMC
举报内容
Data ownership should come with an accountability definition and clearly articulate the scope of their ownership, for example, 1. to protect data branches 2. To ensure the permissible use of data to avoid regulatory penalties 3. responsible for least privilege to prevent data leaks 4. Control data spread for cost and discovery efficiencies. Many a times ownership is deemed as controlling and can create process bottlenecks but IMO it is accountability and goes hand in hand with data stewardship

已翻译

赞

3 Access Controls

Access controls are critical for protecting sensitive data and ensuring that only authorized individuals can perform actions on the data. Effective data governance solutions will offer granular access controls that allow data owners and stewards to define who can view, edit, or delete data. These controls should be easy to manage and adaptable to the changing needs of the organization, ensuring a secure and flexible data environment.

添加您的观点

Nitin Singhal

Data Guy, Tech and culture transformation, AI Enthusiast, Ex - Twitter, Visa, PayPal, JPMC
举报内容
Understand your data and asset hierarchy, understand the source of data, and define data access policies based on where data comes from, data granularity, and variable dimension of user consent. These things should be mapped to RBAC and eventually should be the basis of the corporate IAM system. "responsible review (and not the rubber stamp review) is also essential.

已翻译

赞

4 Audit Trails

Audit trails are essential for tracking changes to data and ensuring accountability. Data governance solutions with comprehensive audit trail features will automatically log all actions taken on data, including who accessed it, what changes were made, and when. This level of detail is crucial for investigating data incidents and proving compliance with internal policies and external regulations.

添加您的观点

5 Policy Management

Policy management is a cornerstone of effective data governance. The best solutions in this space enable the creation, implementation, and enforcement of data-related policies. These tools should allow for the easy definition of policies that govern data quality, privacy, and security. They must also provide mechanisms to ensure these policies are adhered to throughout the organization, such as automated alerts and integration with other IT systems.

添加您的观点

6 Collaboration Tools

Collaboration is key in data governance, as it involves multiple stakeholders across different departments. High-quality data governance solutions will include features that facilitate communication and collaboration among data stewards, owners, users, and IT personnel. These tools should support shared workspaces, discussion forums, and task management features to coordinate efforts and maintain a cohesive approach to managing the organization's data assets.

添加您的观点

7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

添加您的观点

Data Management

+ 关注

给文章评分

我们借助人工智能创建了此文章。您认为这篇文章怎么样？

很棒不太好

举报此文章

查看全部

Which data governance solutions offer the best data stewardship and data ownership features?

1

2

3

4

5

6

7

1 Data Stewardship

2 Data Ownership

3 Access Controls

4 Audit Trails

5 Policy Management

6 Collaboration Tools

7 Here’s what else to consider

Data Management

给文章评分

感谢您的反馈

更多Data Management相关文章

更多相关阅读内容

Which data governance solutions offer the best data stewardship and data ownership features?

1

2

3

4

5

6

7

1 Data Stewardship

2 Data Ownership

3 Access Controls

4 Audit Trails

5 Policy Management

6 Collaboration Tools

7 Here’s what else to consider

Data Management

给文章评分

感谢您的反馈

查看其他技能