E-commerce companies don’t just need data pipelines; they need pipelines that can keep up with ever-changing customer behaviour, seasonal spikes, and omni-channel complexity. The ability to build a real-time Customer 360 isn’t a nice-to-have; it’s what drives personalization, revenue optimization, and retention. But getting there is hard. Broken pipelines, schema drift, opaque costs, and inflexible tools create friction for engineers, slow insights for analysts, and limit the strategic agility leaders expect.

In this premiere episode from the new "End Data Disparity" video series, host Ryan Green chats with Benoit Dageville, Snowflake Co-founder and President of Product, about the challenge of addressing the problem of global data inequalities. The discussion kicks off with information about the cross-sector advisory board Snowflake is establishing to drive the development of collaborative solutions. They also discuss such topics as the role AI will play in improving ESG data quality, which promises to positively impact ESG monitoring and reporting.

Alok Bhargave of Ernst & Young outlines a strategy for building out multiple AI agents for documentation management and insight extraction.#Snowflake.

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See how Spreadsheet Server transforms financial reporting by connecting live ERP data directly to Excel. Designed specifically for finance professionals, it eliminates manual copy-paste cycles while providing AI-powered insights, operational reporting beyond the General Ledger, and automated report distribution. Create sophisticated, refreshable financial reports using the Excel skills you already have.