Send us a textConsulting companies generated trillions of dollars by orchestrating the movement of data and crafting ETL codes. This was essential to safeguard the operational systems from the potential impact of analytical workloads on performance. Operational systems handled transactional heavy lifting, while analytical workloads focused on study and decision science. Snowflake revolutionized this landscape by introducing technology that eliminated the need to copy data for analytical purposes. This not only resulted in instant cost savings but also empowered companies to explore real-time analytical workloads. Despite Snowflake being a top-tier technology, organizations sometimes employ it for unintended purposes, either perceiving it as unnecessarily expensive or not achieving the desired business outcomes. To understand Snowflake's place in the architecture and how it compares with other enterprise software technologies, one must delve into its positioning and evaluate its performance in relation to alternative solutions.In today's episode, we invited a panel of industry experts for a live discussion on LinkedIn to conduct an independent review of Snowflake’s capabilities. We covered many grounds, including where Snowflake might be a fit in the enterprise architecture and where it might be overused. Finally, they analyze many data points to help understand the core strengths and weaknesses of Snowflake.For more information on growth strategies for SMBs using ERP and digital transformation, visit our community at wbs. rocks or elevatiq.com. To ensure that you never miss an episode of the WBS podcast, subscribe on your favorite podcasting platform.

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