Retail ELT & Analytics

Daasity offers purpose-built extraction, customizable data transformation code, robust in-platform data orchestration, and reverse ETL functionality. The platform connects to 75+ data sources that span eCommerce, Amazon, retail, and wholesale.

When Daasity is integrated with Snowflake, merchants will not need a DevOps/Tech support team to manage servers and disk space, as the warehouse will automatically scale up for demanding workloads and scale down when not required. Daasity provides a streamlined setup process where the merchant simply enters their Snowflake user credentials, and Daasity will create the database, compute warehouses optimized for specific functionality, and roles utilizing security with the minimum granted privileges.

Merchants can also leverage Snowflake’s Secure Data Sharing feature, which allows for multiple ways to share data in and out of a Snowflake account. This data share can include as many datasets as desired, from integrations connected to Daasity.

Once a merchant has created their Daasity account, they will be able to view, analyze, and segment their data.

Expected Workflow
- The merchant creates an account with Daasity.
- From within the Daasity app UI, the merchant provides credentials to set up Daasity within their Snowflake account.
- From within the Daasity app UI, the merchant selects data sources (integrations) for data extraction.
- Data is extracted and loaded into the merchant's Snowflake database.
- Data is loaded into source extraction tables.
- Data may be transformed into Daasity's standard structured omnichannel data models.
- The merchant may add additional transformation logic to manipulate data from the source extraction tables or Daasity's data models.
- The merchant may leverage Daasity visualization layer for BI or connect their Snowflake data warehouse to their own BI/Analytics tools.