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Austin Kronz - Head of Data Strategy at Atlan
Manage episode 449857202 series 2998079
Enterprise Knowledge COO Joe Hilger speaks with Austin Kronz, Director of Data Strategy at Atlan. Atlan is the active metadata platform for the modern data stack.
In their conversation, Austin delves into how Atlan positions itself as a “home for data teams,” designed to centralize, automate, and streamline data governance and access. Austin explains that Atlan aims to address the complex needs of today’s expanded data teams—ranging from engineers to business analysts—by providing a platform that adapts to various roles and workflows, fostering an environment where all data users can access trusted, well-documented data.
Austin highlights the challenges of managing increasingly complex data ecosystems, especially for large enterprises dealing with fragmented and siloed data sources. Atlan tackles these issues by embedding data catalog functionalities directly into the workflows of business intelligence tools, allowing users to access metadata seamlessly without leaving their dashboards. By focusing on transparency, flexibility, and automation, Atlan helps organizations build trust in their data assets, ensuring that users can rely on accurate and contextually relevant data.
The discussion also explores how Atlan leverages AI to automate metadata documentation, minimizing the manual burden on data stewards. Austin emphasizes Atlan’s commitment to adaptability, positioning the platform as a control plane for data and AI. This forward-looking approach aims to empower organizations to make data-driven decisions effectively while supporting the evolving needs of knowledge management and data governance.
82集单集
Manage episode 449857202 series 2998079
Enterprise Knowledge COO Joe Hilger speaks with Austin Kronz, Director of Data Strategy at Atlan. Atlan is the active metadata platform for the modern data stack.
In their conversation, Austin delves into how Atlan positions itself as a “home for data teams,” designed to centralize, automate, and streamline data governance and access. Austin explains that Atlan aims to address the complex needs of today’s expanded data teams—ranging from engineers to business analysts—by providing a platform that adapts to various roles and workflows, fostering an environment where all data users can access trusted, well-documented data.
Austin highlights the challenges of managing increasingly complex data ecosystems, especially for large enterprises dealing with fragmented and siloed data sources. Atlan tackles these issues by embedding data catalog functionalities directly into the workflows of business intelligence tools, allowing users to access metadata seamlessly without leaving their dashboards. By focusing on transparency, flexibility, and automation, Atlan helps organizations build trust in their data assets, ensuring that users can rely on accurate and contextually relevant data.
The discussion also explores how Atlan leverages AI to automate metadata documentation, minimizing the manual burden on data stewards. Austin emphasizes Atlan’s commitment to adaptability, positioning the platform as a control plane for data and AI. This forward-looking approach aims to empower organizations to make data-driven decisions effectively while supporting the evolving needs of knowledge management and data governance.
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