Data Stewardship By the People and For the People
In today's increasingly data-driven world, effective data governance is more important than ever. Yet, the challenge lies not just in managing data but in making governance and stewardship practical, meaningful, and beneficial to those who use data daily. This is where the concept of "Data Stewardship By the People and For the People" comes into play. By leveraging Non-Invasive Data Governance (NIDG), this approach emphasizes that the governance and stewardship of data must be provided "by the people" who already have relationships with and recognized formal accountability for that data. At the same time, it ensures that data governance is "for the people," helping them in their daily jobs by making their work easier and more efficient.
The traditional approach to data governance often places the responsibility squarely on the shoulders of IT departments. However, NIDG recognizes that the real data experts are the business people who handle data daily, such as marketing managers, financial controllers, and HR professionals. These individuals are uniquely positioned to ensure data quality and proper usage because they interact with and understand the data intimately. By recognizing and formalizing their existing roles as data stewards, the Non-Invasive approach aligns stewardship responsibilities with natural workflows instead of imposing new burdens.
Formal accountability means that those who already handle specific types of data in their roles are formally recognized as being responsible for the quality and management of that data. For instance, marketing managers are naturally accountable for customer data quality, financial controllers steward and ensure accurate financial records, and HR professionals safeguard employee data privacy. By empowering these individuals, we create a collaborative environment where data governance becomes practical, relevant, and aligned with existing responsibilities.
The Non-Invasive approach emphasizes that governance should not disrupt existing workflows. Instead, it should seamlessly integrate into the daily operations of business professionals. Marketing managers, for example, continue to focus on customer insights while also ensuring that customer data is accurate and consistent. Financial controllers maintain the integrity of financial data as part of their routine responsibilities. This alignment allows data governance to be naturally embedded into everyday work.
One of the key elements of this approach is the power of relationships. By leveraging the relationships between data stewards and their respective teams or departments, we foster collaboration between IT and business units. This synergy enhances data quality and consistency while ensuring that stewardship remains practical and relevant.
But what about the benefits? What does data governance "for the people" look like in practice? First, effective governance leads to improved data quality and accuracy. When individuals are formally accountable for the data they handle, its quality becomes a shared priority, reducing errors and inconsistencies. Clear data standards and definitions also ensure that everyone speaks the same language, reducing confusion and misinterpretation.
Another significant benefit is enhanced decision-making. High-quality data that is well-organized and accurate leads to better business insights. Employees can confidently base decisions on data, knowing that it's reliable and up to date. Streamlined compliance is another outcome. With formal stewardship roles, compliance becomes less of a burden because people know what data they're responsible for and how it should be managed. Automated data lineage tracking simplifies regulatory audits and reporting, reducing the stress of meeting compliance requirements.
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Efficiency and productivity also increase when data governance is done right. Reduced data duplication and fewer errors mean less time wasted on cleaning and correcting data. Business users can access accurate, well-documented data faster, improving productivity. Additionally, better collaboration and communication arise from a shared understanding of data definitions and ownership. Cross-functional teams can communicate more effectively, leading to innovative solutions and shared best practices.
To implement "Data Stewardship By the People and For the People," organizations can follow a series of practical steps. First, recognize and formalize data stewards across business units, ensuring that their roles align with their existing responsibilities. Next, establish clear data standards and definitions that everyone can understand and use. This step will foster a shared language around data governance. Additionally, create a collaborative environment by bridging the gap between IT and business units, enabling them to work together seamlessly on data-related projects.
Training, awareness, and data literacy programs can further empower data stewards by providing them with the skills and knowledge needed to excel in their roles. Finally, implement tools and technologies that support data governance, such as automated data lineage tracking and data catalogs.
"Data Stewardship By the People and For the People" following the Non-Invasive Data Governance approach offers a practical, inclusive approach to managing data. By recognizing and empowering the business people who already handle data daily, organizations can improve data quality, enhance decision-making, and streamline compliance while fostering a culture of collaboration and efficiency. Ultimately, it's about making data governance a part of the natural workflow, benefiting both the organization and its people.
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Non-Invasive Data Governance[tm] is a trademark of Robert S. Seiner / KIK Consulting & Educational Services
Copyright ? 2024 – Robert S. Seiner and KIK Consulting & Educational Services
Product Owner - Data Mesh
6 个月Very informative
Senior Solutions Architect at Snowflake | Author of "the Data Vault Guru" | Certified Data Vault 2.0 Practitioner and Business Architect (CBA?)
6 个月I would add that data should include the monetary value metric as well. If the cost of the lack of data governance is understood versus data with data governance then there is a material impact to the business and the value item produced by that business capability. This should incentivise business people to consider data governance as a part of the business value metric / and also ensure that efficient data governance is a focus instead of “over governance”. I.e yes we need quality data but at what cost. We should not impede the business, we should enable them.
Information and Data Governance
6 个月Spot on Robert ??
Inventor of All Things Data Vault (DV1, DV2, Methodology, Model, Architecture, Implementation and Standards)
6 个月Nice article Bob, thanks for keeping these flowing. Just a question about QA/QC role - I see these folks as being empowered to govern not only data but processes. would this be correct?
Marketing Operations Associate at Data Dynamics
6 个月The shift towards 'Data Stewardship By the People and For the People' is long overdue. Formalizing roles and responsibilities for data stewards across business units not only improves data quality but also enhances collaboration and decision-making. Exciting times ahead for data governance!