Balsam Brands Reduces Cost and Complexity
Integrating and Modeling Business-Ready Data in Snowflake

Solution

With Reactor (ReactorData.com), the intelligent data pipeline, Balsam Brands gains a resilient, flexible and fully observable path for all enterprise data, from source system to destination table in Snowflake. Reactor provides non-engineering users the ability to collect and log data, transform it from source schema into common entity models (business objects like orders, customers and products), and flow these normalized, harmonized entities business-ready into Snowflake. With Reactor, Balsam knows the exact lineage and state of every processed record. With extended semantic metadata definitions for every field, exact definitions and calculations are created and documented within Reactor at ingest, providing the context and labels for downstream consumers of the data. By the time data is landed in Snowflake, it is prepped, mapped, labeled and ready for Balsam analysts and business end users to go to work.

On top of these Reactor-landed tables in Snowflake, Balsam can access business-ready, direct-to-consumer retail data models. Ready-to-go data models are available in Snowflake for immediate analysis, allowing the Balsam Brands team to avoid time-consuming, resource-intensive data transformation tasks, for faster time-to-value on the data.

With Reactor, Balsam’s teams can now work as they see fit with useful data structured for easy access and integration with downstream systems. Reactor can connect to any source system, model that data, and land it directly in Snowflake. This gives Balsam Brands the capabilities that, in the past, would have been very difficult to bring in-house and even more difficult to bring that up to the users in a way that they can see it and access it easily.