Data Domains and Data Domain Stewards
Image licensed from Adobe Stock (#513646246)

Data Domains and Data Domain Stewards

Data domains and data domain stewards play a pivotal role in the management and governance of data, acting as a structural and operational pillar that ensures data is accurately categorized, maintained, and utilized across an organization. By segmenting data into domains (basically business subject areas), organizations can effectively manage and govern their data, as each domain represents a specific area of expertise or a particular business function. This categorization simplifies the complex landscape of organizational data, making it more controllable and easier to manage.

Data domain stewards, who are subject matter experts within these specific areas, enrich the data governance program. They bring a deep understanding of their respective subjects, ensuring that the data within the subject area is not only accurately defined and managed but also aligned with both the internal standards and external regulations. Their expertise facilitates the development of tailored governance policies and data management practices that are specific to the needs and nuances of each domain, thereby enhancing data quality, consistency, and reliability across the organization.

The inclusion of data domain stewards in data governance implementations transforms the governance framework from being a top-down, policy-driven approach to a more collaborative, engaged process. These stewards act as the bridge between the governance body and the operational teams, advocating for the needs and requirements of their domains while ensuring adherence to overarching governance policies and standards.

This collaborative approach fosters a culture of data stewardship throughout the organization, where data governance becomes part of the operational character rather than an external imposition. It also enables more agile and responsive governance practices, as stewards can quickly identify and address emerging data issues or opportunities within their domains. In essence, data domains and their stewards are crucial for creating a structured, yet flexible, framework for data management and governance, ensuring that data assets are effectively leveraged for strategic advantage while maintaining integrity, security, and compliance.

In the Non-Invasive Data Governance (NIDG) approach, the Data Domain Steward plays a critical role by serving as the subject matter expert and potentially the authoritative figure for their designated data domain. Their responsibilities include overseeing data quality, ensuring data compliance with relevant standards and regulations, and fostering a culture of data-driven decision-making within their domain.

Depending on their official role and standing within the organization, Data Domain Stewards may possess the authority to make binding decisions regarding the management, utilization, and governance of their specific area of data. This authority enables them to effectively implement governance policies, standards, and practices that align with the organization's overall data strategy and objectives, thereby enhancing the value and integrity of the data under their stewardship.

Implementing data domains with formal data domain stewards is an important step toward the deployment of NIDG program, which emphasizes collaboration, knowledge sharing, and leveraging the expertise within an organization without imposing cumbersome rules or processes. This approach ensures that data governance is integrated seamlessly into daily operations, enhancing data quality, compliance, and strategic decision-making. Below are five important reasons why implementing data domains with formal data domain stewards is crucial for the success of a non-invasive data governance program:

Expert-Led Data Management

Data domain stewards are subject matter experts who bring a deep understanding of their specific data domains. Their expertise is invaluable in managing data effectively, ensuring that data is accurate, relevant, and consistently defined across the organization. These stewards can make informed decisions about data standards, policies, and procedures that are tailored to the nuances of their specific domain, leading to more effective and efficient data management practices.

The role of data domain stewards extends beyond mere data upkeep; they are instrumental in fostering a culture of data-driven decision-making within their domains. By having a comprehensive grasp of both the data and its business context, stewards empower their colleagues by providing them with high-quality, actionable data. This enables departments to make decisions based on reliable information, thereby reducing risks and enhancing outcomes.

These stewards act as liaisons between the technical and business sides of an organization, translating complex data concepts into actionable insights for business leaders. Their ability to manage data governance tasks, from the creation and implementation of data quality metrics to the execution of data cleansing projects, underscores their critical role in the successful operation and strategic initiatives of their organizations.

Enhanced Data Quality and Integrity

One of the primary goals of a NIDG program is to improve the quality and integrity of the organization's data. Formal data domain stewards play a crucial role in achieving this goal by overseeing data quality initiatives within their domains. They can identify and address data quality issues, such as inaccuracies, inconsistencies, and redundancies, ensuring that the data is reliable and trustworthy. This, in turn, supports better decision-making and operational efficiency.

Beyond the initial identification and remediation of data issues, data domain stewards also implement proactive data quality management strategies. These strategies include the establishment of continuous monitoring processes, the development of data quality benchmarks, and the creation of feedback loops with data users to continually refine and improve data quality over time. By setting up a systematic approach to data quality, stewards ensure that improvements are not just one-time fixes but part of an ongoing effort to uphold high standards of data integrity.

This systematic approach facilitates a sustainable environment where data quality is constantly monitored, issues are promptly addressed, and the overall data ecosystem within the organization is continuously optimized for peak performance.

Facilitated Regulatory Compliance

As regulations around data privacy and protection become increasingly stringent, organizations must ensure their data handling practices are compliant. Data domain stewards are instrumental in this aspect, as they have the domain-specific knowledge required to understand and implement the relevant regulatory requirements. By ensuring that data within their domains is managed in compliance with these regulations, stewards help mitigate the risk of non-compliance, which can lead to significant financial penalties and reputational damage.

The value of data domain stewards in facilitating regulatory compliance extends into the territory of dynamic regulatory landscapes. They are not only responsible for current compliance but also for staying abreast of changes in legislation and adapting data management practices accordingly. This forward-looking approach ensures that an organization is not only compliant today but prepared for tomorrow's compliance challenges as well. Stewards often work closely with legal and compliance teams to interpret new regulations and assess their impact on data practices.

Their ability to translate these complex regulatory requirements into actionable data governance policies and procedures is critical in maintaining an agile and compliant data management framework, safeguarding the organization against the evolving nature of data privacy and protection laws.

Promoted Cross-Functional Collaboration

Implementing data domains with formal stewards encourages cross-functional collaboration within the organization. Since data often spans multiple departments and functions, stewards from different domains need to work together to ensure data consistency and interoperability. This collaborative approach fosters a culture of shared responsibility for data governance, breaking down silos and enhancing communication and cooperation across the organization.

This enhanced collaboration extends to aligning various departments with the organization’s overall data strategy and objectives. By working together, data domain stewards can identify and leverage synergies between different areas of the business, leading to more innovative uses of data and the development of comprehensive solutions to complex challenges.

Regular cross-domain meetings and integrated governance frameworks help ensure that data-related decisions are made with a holistic view of the organization’s needs and goals in mind. This not only improves the quality and utility of the data but also supports a more cohesive and unified organizational strategy, where data acts as a bridge rather than a barrier between different parts of the business.

Strategic Data Utilization

Last but not least, data domain stewards enable organizations to leverage their data more strategically. With deep knowledge of both their domain and the organization's strategic goals, stewards can identify opportunities to use data in ways that drive innovation and competitive advantage. They can champion projects that utilize data for new insights, products, or services, aligning data initiatives with business objectives and ensuring that data is a strategic asset for the organization.

The impact of strategic data utilization goes beyond immediate projects or products; it fosters a culture of innovation and continuous improvement within the organization. Data domain stewards play a key role in embedding data analytics and insights into the decision-making processes, encouraging teams to challenge assumptions and explore new ideas. This proactive approach to data strategy not only positions the organization to adapt to changing market conditions and customer needs but also empowers employees to think creatively about how data can solve complex problems and create value. As a result, the organization not only achieves its current strategic goals but also lays the groundwork for sustained growth and success in the future.

Conclusion

The implementation of data domains with formal data domain stewards is pivotal in a non-invasive data governance program. It ensures that data governance is expert-led, enhances data quality and integrity, facilitates regulatory compliance, promotes cross-functional collaboration, and enables strategic data utilization. This approach not only optimizes the organization's data management practices but also supports its overall strategic objectives, making it an essential element of modern data governance strategies.

 

Non-Invasive Data Governance[tm] is a trademark of Robert S. Seiner and KIK Consulting & Educational Services

Copyright © 2024 – Robert S. Seiner and KIK Consulting & Educational Services

Kyle Benning

CDO | Analytics and Data Management Leader| Business Architect | Data Strategist

9mo

This is a great read and spot on. A data governance program with out domain stewards is just documentation. The Data Steward is the key to true data enabled transformation

Tiago Borba

Gerente na Instituto Unibanco

9mo
Like
Reply
Imran H.

Digital and Data Transformation Advisor | Data & AI Strategy, Management, Governance and Migration

9mo
Like
Reply
Richard Inserro

Data Governance Product Leader @ Merck | Data Strategy, Business Enablement

9mo

Great article, and thanks for posting. “Implementing data domains with formal stewards encourages cross-functional collaboration within the organization. Since data often spans multiple departments and functions, stewards from different domains need to work together to ensure data consistency and interoperability. This collaborative approach fosters a culture of shared responsibility for data governance, breaking down silos and enhancing communication and cooperation across the organization.” I think of the second sentence above a bit differently: By organizing data governance by domain, a domain steward is best positioned to work across divisions and functions where common data spans multiple divisions. For example, customer data spans sales and marketing, compliance, finance, and manufacturing/sales fulfillment. A customer domain steward is positioned to coordinate/monitor data governance practices across those divisional silos.

Rachel Hemeon

Health Policy Branch, Digital Health and Health Data, Health Canada

9mo

Excellent insights. What about leveraging data domain stewards across organizations? We often talk about stewards and data domain stewards within an organization but stewardship frameworks continue to evolve not only within but across organizations - how than do we set up domains most effectively?

To view or add a comment, sign in

More articles by Robert S. Seiner

  • In 2025 – Data Governance and World Peace

    In 2025 – Data Governance and World Peace

    As we step boldly into 2025, I find myself pondering life’s biggest questions – you know, the ones that usually come up…

    8 Comments
  • Data Governance Lessons from 2024

    Data Governance Lessons from 2024

    Data governance in 2024 was anything but boring. As organizations raced to adapt to evolving technologies, regulations,…

    4 Comments
  • Add Rizz to Data Governance in 2025

    Add Rizz to Data Governance in 2025

    If you've been around the internet or spent time with the younger generation, you’ve probably heard the term "rizz."…

    18 Comments
  • How Governance Will Change in 2025

    How Governance Will Change in 2025

    The year 2025 is just around the corner, and with it comes an era of profound transformation in how organizations…

    12 Comments
  • Getting People to Follow Policy

    Getting People to Follow Policy

    Creating well-crafted policies is only half the battle. The real challenge lies in getting people to follow them.

    3 Comments
  • Start with a Data Inventory

    Start with a Data Inventory

    If you have ever misplaced your car keys … and I do it all the time … you know the frustration of not knowing where…

    17 Comments
  • Unified Governance: The Convergence of Data and Information Governance

    Unified Governance: The Convergence of Data and Information Governance

    The worlds of data governance and information governance have traditionally operated in silos, each addressing…

    32 Comments
  • The Mythical Qualities of Data Governance (and Bigfoot)

    The Mythical Qualities of Data Governance (and Bigfoot)

    Bigfoot is a creature of myth and mystery, a legend as enduring as the forests it’s said to roam. But have you ever…

    6 Comments
  • Why Organizations Need an AI Catalog

    Why Organizations Need an AI Catalog

    As artificial intelligence (AI) becomes more integral to organizational strategy, managing and governing the assets…

    18 Comments
  • Best of Times / Worst of Times: The Duality of Data Governance

    Best of Times / Worst of Times: The Duality of Data Governance

    “It was the best of times; it was the worst of times.” Dickens’ words have never rung truer than they do today ……

    4 Comments

Insights from the community

Others also viewed

Explore topics