Digital disruption and transformation are occurring across countless businesses and industries – virtually nothing is immune. With data at the heart of digital transformation, scalable and sustainable governance is more critical than ever. But for modern organizations with self-service analytic champions and citizen data scientists consuming and accessing information more broadly, finding the balance between agility and governance can be a slippery slope.

Traditional top-down, workflow-driven data governance may not be the best fit. What’s needed is a modern approach to governance that’s agile, scalable, and takes advantage of augmented analytics to meet the needs of data-driven businesses.

In this session, attendees will learn how to:

• Create a framework for bottom-up-driven governance that balances user empowerment, data discovery, and collaboration with the degree of governance necessary to use analytics effectively
• Emphasize support and operationalization for end users of data as close to the point of data usage as possible
• Manage data acquisition, data use, and data stewardship leveraging agile methodologies
• Integrate the data catalog into holistic governance practices
• Build a data architecture foundation to enable agility and scale