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Elementum is a cloud-native, data-driven workflow platform that enables companies to mine their Snowflake data for anomalies in various work processes that need to be addressed in order to improve efficiency. The platform also orchestrates the changes needed to improve those business process workflows. It essentially extends business intelligence to a new level. In this “Powered by Snowflake” interview, Karen Jenkins, Senior VP of Product at Elementum, talks with host Daniel Myers about how the platform works and how Snowflake enabled the company to transform itself during COVID from a supply-chain visibility platform into cloud-native platform with much broader, more powerful capabilities for automating improvements to key operational processes. 00:00–Welcome and Introduction 00:31–What is a Data-Driven Workflow Platform? 01:10–How Elementum Transformed its Platform Using Snowflake 03:25–How Companies Are Using Elementum 04:51–How Elementum Connects to Snowflake Data 05:43–The Difference Between a Connected App and a Managed App 06:24–A Look at Elementum’s Architectural Structure 11:38–Connecting to Elementum 13:43–A Demo of Elementum 21:33–How and Why Did Elementum Choose to Build on Snowflake? 22:20–Next Steps for Elementum 23:13–How to Get More Information Learn more about Elementum: →Website: https://www.elementum.com →LinkedIn: / elementum-scm →Twitter: / elementum Connect with Karen Jenkins from Elementum: →LinkedIn: / kejenkins ❄Join our YouTube community❄ https://bit.ly/3lzfeeB Learn more about Snowflake: ➡️ Website: https://www.snowflake.com ➡️ Careers: http://careers.snowflake.com ➡️ Podcast page: https://bit.ly/3sFXst6 ➡️ Twitter: / snowflakedb ➡️ Instagram: / _snowflake_inc ➡️ Facebook: / snowflakedb ➡️ LinkedIn: https://bit.ly/2QUexl4 ➡️ Sign up for our weekly live demo program and have your questions answered by a Snowflake expert at https://bit.ly/2TdVCmJ Listen on: 🔈 Apple Podcasts: https://apple.co/3cCdrCU 🔈 Spotify: https://spoti.fi/39vCNjH 🔈 Simplecast: https://bit.ly/3rFCrgA #Snowflake #DataCloud