Webinar On-Demand
Data Governance Maturity is not an instant process but it is a necessary one for any organization that wants to become data-driven. This lengthy process starts with evaluating the needs of the organizations and its data users at all levels but how can organizations get started and understand where their priorities and first steps need to be? Alation provides the initial step in this with the Data Culture Maturity Assessment, meant to help you get organized and map out your data governance journey. But beyond that, Data Meaning gets involved with data leaders in creating effective governance frameworks designed to help you gain insights, overcome common challenges and maximize the potential of your data assets.
In this 45 minute webinar we discuss the Data Governance Maturity Journey and how you can start to identify your priority needs and how to address them. You will learn:
How different stages of the maturity model provide tailored guidance for your organizations needs
How to scale your data governance practices whether you are just starting out or enhancing your current framework
What the roadmap to effective Data Governance Maturity can look like through real world examples.
Whitepaper
Organizations face mounting pressure to ensure their data is accurate, compliant, and fit for decision-making. But with vast amounts of enterprise data to manage, how can teams prioritize governance efforts effectively?
eBook
How can you support and scale AI innovation? Data leaders can empower teams to build AI that delivers meaningful business outcomes by providing a foundation for AI governance. Yet, AI governance differs from data governance in a range of critical ways.
Webinar On-Demand
In the rapidly evolving regulatory landscape, ensuring compliance with data governance standards is crucial for organizations operating in Singapore. The Monetary Authority of Singapore (MAS) has introduced new data governance guidelines to enhance data protection, transparency, and risk management practices.