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
Leaders are under mounting pressure to implement AI that drives business results. How can they ensure their data is ready to fuel AI models that succeed?
Webinar On-Demand
In today’s rapidly evolving digital landscape, effective data governance is critical for organizations striving to manage diverse and numerous data types. Ensuring the trustworthiness of AI/ML models requires robust governance of both inputs and outputs.
Customer Case Study
This same-day shopping and delivery service faced challenges with data quality, trust, and concurrent processing issues in their backend Postgres databases. To address these, the company’s data leadership implemented a comprehensive data modernization strategy. They migrated their data to the Snowflake data cloud and adopted Alation as the front end for their data for its user-friendly interface. Additionally, they implemented the Monte Carlo data observability platform to ensure data quality with real-time lineage and alerts. This integrated solution provides the delivery company with reliable, high-quality data for business reporting and AI modeling, generating the insights needed to deliver value to their customers, shoppers, and retail partners.