With the shift toward data democratization and digital transformation, data governance may seem like yesterday’s news. In reality, data governance is more important than ever – and has evolved and matured along with other areas of data management. Companies able to ride the maturity wave and build upon a solid foundation of data management will be better poised for meeting new data privacy and ethics requirements, competing in the marketplace and deriving tangible results from new technologies and capabilities.
 
The scope of traditional data governance is the foundation of many data-driven organizations, ensuring accountability, quality, and control of critical data elements and master data. Largely focused on structured data, a more agile and modern approach to data governance will extend further up and down the data supply chain to include data acquisition and data usage. Therefore, data governance will extend to data in flight, not just at rest.
 
This is where the use of catalogs and other solutions will enable the governance organization to provide guidance, standards and controls to ensure that the appropriate levels of rigor are maintained closest to the point of usage while enabling enterprise-wide data literacy and self-service analytics.
 
Attendees will learn techniques for riding the modern data governance wave, including:

• Leveraging the current scope of data governance and previous adoption to extend appropriate practices to cover other data types
• Ensuring there is appropriate representation and accountability identified to cover the additional data types
• Establishing roles and responsibilities that support a service mindset vs. traditional governance management
• Prioritizing effort based on business objectives
• Navigating the evolving landscape of data privacy and ethics