Webinar On-Demand
Embark on a transformative exploration of data culture's pivotal role in unleashing the full potential of data. Join our on-demand webinar featuring Dr. Jonathan Reichental, founder, professor, and author of 'Data Governance for Dummies,' Billy Tilson, Senior Director of Analytic Architecture at GoDaddy, and Julie Smith, Director of Data & Analytics at Alation, as they delve into the key findings of our latest research report on data culture maturity.
This report reveals the critical importance of data leadership, data search & discovery, data literacy, and data governance for driving business value today.
What You’ll learn:
About the data governance gap, and what’s being done now versus later
The surprising link between data leadership and revenue returns today
Why powerful search & discovery is a key driver of success
Don't miss this opportunity to be part of an engaging and informative webinar that offers a roadmap for organizations seeking to enhance their data culture. Watch now to align your strategies with the future of data-driven success.
Alation Brief
Most of us are familiar with Google Maps, which shows the path to our destination with specific and timely directions from start to finish. Layers provide additional information like points of interest and traffic details such as construction or traffic volume ahead of time, which can help change our route and save time. The user experience makes it easy for anyone to use.
Alation Brief
Learn how Alation Anywhere brings the power of data intelligence directly to your fingertips - right in your browser. Our integrations now extend beyond Excel, Teams, Slack, Tableau, and Google Sheets to include Chrome. With the Alation Anywhere Chrome Extension, you can search, preview, and trust critical data without leaving Chrome, enabling faster, more informed decisions across your organization and seamlessly fitting into your workflow.
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.