Even with executive and stakeholder buy-in, Data Governance can be seen as too big a lift and might be deprioritized in favor of initiatives with more immediate ROI.
In this guide, we'll look at how organizations can utilize the iterative, collaborative approaches that might already be in place for product development and project management for more effective and transparent Data Governance initiatives.
This 20-Page Guide dives deep into the concept of Agile Data Governance – taking the iterative, collaborative mindset of project delivery to start small and build Data Governance into the foundation of your data management practices.
To understand Agile Data Governance, it’s important to define what Data Governance is - and what it is not. Explore Data Governance principles that support security AND accessibility in your organization, and identify key strategies to developing a Data Governance posture.
Can Data Governance be Agile? Learn how to use the the iterative, collaborative approach of Agile Methodology to implement more effective and transparent Data Governance initiatives.
Ready to get started? We’ve posed five questions that can help you find the first use case for Agile Data Governance in your organization, whether it’s building off of successes in your team, establishing a data dictionary, or identifying easy first wins.
There is no tool that can provide a cure-all for Data Governance, but finding the right technology to support your journey will help you automate critical processes and build Data Governance into data management throughout the data lifecycle.
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