Case Study: SymphonyAI delivers faster, more accurate retail insights with Yellowbrick Data

SymphonyAI speeds reports 2x and cubes 3x-5x with Yellowbrick

SymphonyAI, a provider of AI-driven solutions for retailers and CPG manufacturers, faced challenges with its complex and costly multi-platform data environment. Relying on Netezza, Amazon Redshift, and 1010data led to high costs, slow processing times, and an inability to scale. The company needed a new data platform from a vendor like Yellowbrick Data to consolidate these systems, improve performance, and reliably deliver faster, more complex insights to its customers.

The solution was implemented by migrating all workloads to the Yellowbrick Data Warehouse. This consolidation resulted in significantly faster and more accurate reporting; reports that previously used only 10% of data samples now run on 100% of the data and are delivered twice as fast. Cube builds completed 3X-5X faster than on AWS Redshift. Yellowbrick also provided a predictable price/performance model and enabled global deployment in private data clouds to meet data residency requirements for SymphonyAI's customers.

SymphonyAI