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Having completed this session, you will be equipped with the skills and knowledge to diagnose metric drift in your organisation, extract scattered metric definitions from unstructured sources — Slack conversations, meeting transcripts, presentations, and Jira tickets — using Snowflake Cortex Code (CoCo), and structure them into a format ready for human review and stakeholder sign-off.
You will know how to turn approved business logic into a governed Snowflake Semantic View that serves as a single, versioned source of truth for core metrics like Net Revenue, Active Users, and Churn.
You will also understand how that semantic layer can power natural-language queries through Snowflake CoWork, giving every user in your organisation consistent answers grounded in approved definitions — regardless of which tool or team they ask from.
🏅 Earn CPD hours with this accredited webinar. Simply follow the instructions during the webinar to gain your certificate and badge.
Ceren Tahtasiz
Ceren is a Senior Solutions Engineer at Snowflake, where she helps organizations unlock the full potential of their data through AI-powered architectures and modern analytics. With a career spanning roles at Microsoft and AWS, Ceren brings deep experience in AI and enterprise data solutions on the cloud. She specializes in translating complex technical concepts into practical, scalable strategies.
Miranda Zachopoulou
Miranda is an Associate Solutions Engineer at Snowflake, working with UK startups and scaleups. She has a background in data science and ML, having worked in-house at Audi UK and as a consultant for companies like Deutsche Bank and Philips. She has also spent a year teaching professionals looking to enter the field of data & AI, and enjoys turning technical ideas into practical outcomes.
Having completed this session, you will be equipped with the skills and knowledge to diagnose metric drift in your organisation, extract scattered metric definitions from unstructured sources — Slack conversations, meeting transcripts, presentations, and Jira tickets — using Snowflake Cortex Code (CoCo), and structure them into a format ready for human review and stakeholder sign-off.
You will know how to turn approved business logic into a governed Snowflake Semantic View that serves as a single, versioned source of truth for core metrics like Net Revenue, Active Users, and Churn.
You will also understand how that semantic layer can power natural-language queries through Snowflake CoWork, giving every user in your organisation consistent answers grounded in approved definitions — regardless of which tool or team they ask from.
Ceren Tahtasiz
Ceren is a Senior Solutions Engineer at Snowflake, where she helps organizations unlock the full potential of their data through AI-powered architectures and modern analytics. With a career spanning roles at Microsoft and AWS, Ceren brings deep experience in AI and enterprise data solutions on the cloud. She specializes in translating complex technical concepts into practical, scalable strategies.
Miranda Zachopoulou
Miranda is an Associate Solutions Engineer at Snowflake, working with UK startups and scaleups. She has a background in data science and ML, having worked in-house at Audi UK and as a consultant for companies like Deutsche Bank and Philips. She has also spent a year teaching professionals looking to enter the field of data & AI, and enjoys turning technical ideas into practical outcomes.
