What do you do if your data governance career lacks innovation?

By far, most data governance professionals have a technical background. While in fact, not tools or tech, but behavior is the critical success factor in data governance. Enhance your value and stand out above the masses by enrolling in (high quality) studies focussed on organizational culture, change and behavior.

Se sua carreira de governança de dados estiver estagnada em termos de inovação, é fundamental buscar oportunidades para atualizar suas habilidades e conhecimentos. Isso pode envolver participar de cursos de formação, conferências ou workshops relevantes, além de se manter atualizado com as últimas tendências e tecnologias em governança de dados. Além disso, é importante procurar projetos desafiadores e colaborar com colegas para explorar novas abordagens e soluções para os desafios existentes na área de governança de dados. Investir em seu desenvolvimento profissional e estar aberto a novas ideias e perspectivas pode ajudá-lo a revitalizar sua carreira e impulsionar a inovação em seu trabalho.

I have started to explore Knowledge base through the development of a Governance custom GPTs to help with the broadening my own knowledge base while having a knowledge base that I can reference as well.

Invest in your professional development by pursuing certifications, courses, or advanced degrees in areas relevant to data governance and innovation. Look for opportunities to acquire new skills and knowledge that can enhance your ability to innovate. Stay up-to-date with the latest trends, technologies, and best practices in data governance and related fields such as data management, data science, and artificial intelligence.

It is obvious that a large network of skilled professionals can forster novelty and innovative. I have seen many organizations building a pool of candidates for future jobs and innovation, investing in a pool of brand loyalists and evangelists, and making customers and community an integral part of their operations. Networks not only act as a source of new talent but also a way to benchmark the organization's current strategy. Social media, evangelism events can also greatly help.

Collaborate with colleagues from different departments or disciplines to bring diverse perspectives to your data governance initiatives. Engage with stakeholders across the organization to understand their needs and challenges, and co-create innovative solutions together. Be open to experimenting with new approaches, tools, and methodologies in your data governance practice. Network with professionals in the data governance community to exchange ideas, share experiences, and learn from each other. Join online forums, participate in industry groups, and engage in discussions on social media platforms.

Encourage open communication and idea sharing within your team. Make it clear that all ideas are welcome and that there are no "bad" ideas. Bring together individuals with diverse backgrounds, skill sets, and perspectives. Recognize and reward team members who demonstrate creativity and innovation in their work. Foster a culture of continuous learning and improvement within your team. Ensure that team members have access to the resources and support they need to innovate.

Seeking mentors can be a valuable strategy for infusing innovation into your data governance career. Identify Potential Mentors, Reach Out, Networking Events, Join Professional Associations, Formal Mentorship Programs. Take the initiative to schedule regular meetings or calls with your mentor to discuss your career aspirations, challenges, and opportunities for growth, Build a Relationship. As you progress in your career and gain valuable insights and experiences, consider paying it forward by serving as a mentor to others who are aspiring to innovate in the field of data governance.

Learn AI. It is making a big impact in all fields including Data Governance. Look into how AI plays as a capability assisting DG technologies. Take examples of Informatica, Alation, Atlan among others and understand how AI plays in Data catalog, Observability, and DQ that is critical for DG implementation.

In my past experience innovation in data governance mean improvement of already existing However you can follow 2 steps as an actions First, assess the current state of data governance in your organization or industry to identify areas for innovation\improvement . Second, propose and implement innovative solutions such as incorporating AI or machine learning algorithms for data classification, implementing blockchain for data integrity, or developing new metrics for measuring data quality and governance effectiveness.