In today’s evolving business environment, trust is the lynchpin for successfully navigating unchartered paths. For individuals and teams, trust in the data they rely on is ultimately the true test of all.
A strong data governance strategy is essential yet striking the right balance is vital to ensuring trust in the data drives and supports the commercial and business objectives.
Issues that we'll explore:
Why is data governance so hard?
• Data Complexity
• Lack of experts
• Ever changing regulations
• Resistance to change
• Silos everywhere
Why striking the right balance between control and autonomy can mitigate data chaos
• Understanding current models
How to deliver a collaborative data governance model
• How to drive exceptional business outcomes
• How can you minimise costs, improve time to value, drive better scalability.
Data governance plays a crucial part within Financial Services, Banking, Technology, Utilities, Public Sector and other industries. Discover how to address the challenges to accelerate a data driven business.
Key Learning Objectives
- Discover how the wrong data in the wrong hands can break your business
- What is the impact of data privacy, data sovereignty on your data governance strategy?
- What are the pros and cons of current data governance models
- How can a collaborative governance approach balance control and autonomy