10 Guiding Principles Every Data Governance Program Should Follow
George Firican
![George Firican]()
George Firican
?? Award Winning Data Governance Leader | DataVenger | Founder of LightsOnData | Podcast Host: Lights On Data Show | LinkedIn Top Voice 2024
Data governance can be a topic of hardship for any enterprise without such a program, but also with one in the works or at different maturity stages. There are a lot of success factors which need to be met to coast through and achieve a highly mature data governance program while the variables keep changing. To get a data governance program started on the right path or have a course correction for one which is already underway, I believe the following 10 guiding principles should be followed:
- Data is a strategic enterprise asset and should be managed as such
- Data governance is a program and a business discipline, not a project, which needs an ongoing investment, support, and exposure
- Data governance is the foundation upon all enterprise information initiatives are built
- Data governance and stewardship are a shared responsibility between business and IT
- There is a common glossary with shared and approved business term and data definitions with a clear stewardship and ownership process
- There is only one version of the truth for enterprise data which is actively managed and trustworthy
- Data management needs to comply with legal and regulatory requirements, internal policies, and follow industry best practices and standards
- Enterprise data are accessible and understood by relevant roles as needed in order to carry out their duties
- Accountability for different data management practices is clearly defined, assigned, and managed
- Data governance efforts, goals and objectives, priorities, decisions, and deliverables (procedures, processes, standards, policies, framework, etc.) are always communicated and made available to the entire enterprise
What are the guiding principles of your data governance program? Do you think they can all be followed? Which one do you think is the most important?
Article originally published on www.lightsondata.com
Sr Data Analyst, Internal Audit at Principal Financial Group
5 年Great tenets to keep in the forefront of DG! What is your opinion on data governance fundamentals where there is not business process management program? Data governance stakeholders can be hard pressed to function without transparency into relevant business processes and when these do not exist, it can be tricky to determine if the data governance team should take this activity on in order to show business value. Unfortunately, business process owners are not data owners and the venture can quickly get dysfunctional. What are your thoughts on how to address this case?
Managing Director | Model Risk Management & Audit | Risk & Control Frameworks | Risk incl. AIRB & Finance Models | Artificial Intelligence Risk & Governance| Keynote Speaker | Mentor
5 年I would say that a key guiding principle for the Data Architecture of the future is 'integration'. Integration across data sources but also between Technology and Operations' governance.
Catedrática UNI, UPC | Planeamiento Estratégico, Gestión de Proyectos PMI Asesora y Revisora de Tesis de Maestrías y Doctorales.
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