Reduced Risk and Cost: Proactive data governance mitigates risks associated with poor data quality, non-compliance, and security vulnerabilities, ultimately reducing potential financial and reputational costs.
Facilitated Data Sharing and Collaboration: more secure sharing of data across departments and with external partners, fostering collaboration.
Despite the clear benefits, implementing data governance in a database landscape is not without its challenges:
Organizational Buy-in: Gaining support from senior accurate cleaned numbers list from frist database leadership and across all departments is crucial. Without it, data governance initiatives can struggle to gain traction and secure necessary resources.
Complexity of Database Ecosystems: Modern enterprises often have a heterogeneous mix of on-premise, cloud-based, relational, and NoSQL databases, making it challenging to implement consistent governance across all systems.
Lack of Skilled Personnel: A shortage of data governance professionals with expertise in both business and technical aspects can hinder implementation.
Resistance to Change: Employees may resist new policies and procedures, especially if they perceive them as burdensome or disruptive to their existing workflows.