What do you do if your data governance team resists innovative methods?
Data governance is the process of managing the quality, security, availability, and usability of data in an organization. It involves defining policies, roles, responsibilities, standards, and procedures for data collection, storage, analysis, and sharing. Data governance also aims to align data with the strategic goals and objectives of the business.
However, data governance is not a static or rigid practice. It needs to evolve and adapt to the changing needs and expectations of the data stakeholders, such as customers, regulators, partners, and employees. It also needs to embrace innovative methods and technologies that can enhance the value and efficiency of data. For example, data governance can benefit from using cloud platforms, artificial intelligence, data catalogs, data lineage tools, and data quality dashboards.
But what do you do if your data governance team resists innovative methods? How do you overcome the barriers and challenges that prevent your team from adopting new ways of working with data? Here are some tips to help you foster a culture of innovation and creativity in your data governance team.