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Retail Business Review | Tuesday, February 14, 2023
Daasity introduces its new Snoflake-powered ELT+ for Commerce, which allows users to sell their brands via prominent online channels.
FREMONT, CA: "Brands using Daasity and Snowflake can rapidly implement a customizable data stack that benefits from Snowflakes dynamic workload scaling and Secure Data Sharing features," said Dan LeBlanc, Daasity co-founder and CEO. "Additionally, customers can leverage Daasity features such as the Test Warehouse, which enables merchants to create a duplicate warehouse in one click and test code in a non-production environment. Our goal is to make brands, particularly those at the enterprise level, truly data-driven organizations."
Daasity reveals its new ELT+ for Commerce, which Snowflake powers. Users can leverage ELT+ for Commerce to sell their consumer brands via eCommerce, Amazon, retail, and wholesale.
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Daasity's solution is built on Snowflake and leverages Snowflake's single, integrated platform for extracting, loading, transforming, analyzing, and operationalizing data. Brands can manage their entire data environment with Daasity's platform, which includes Snowflake.
The Daasity platform empowers consumer brands to be data-driven across omnichannel channels. Daasity's platform supports data architecture, analytics, and reporting requirements for consumer brands selling through eCommerce, Amazon, retail, and wholesale channels. In Daasity, teams can see all their data in a centralized, normalized manner, no matter what tools are in their stack or how their data needs may change.
"Daasitys ELT+ for Commerce, Powered by Snowflake, will offer our joint customers a way to build a single source of truth around their data, which is transformative for businesses pursuing innovation," said Scott Schilling, Senior Director of Global Partner Development at Snowflake. "As Snowflake continues to make strides in mobilizing the worlds data, partners like Daasity give our customers flexibility around how they build data solutions and leverage data across the organization."
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