Case Study: Neustar Unified Analytics achieves 85–95% cost savings and rapid ML turnaround with Qubole

Neustar Boosts Automation, Efficiency, And Savings With Qubole

Neustar Unified Analytics delivers enterprise marketing measurement and attribution by ingesting massive, varied datasets and applying predictive models to show how marketing spend drives revenue. The team struggled with the four Vs—variety, volume (50–60 TB per customer; up to 1.5 TB/day), velocity and veracity—plus high operational cost and limited scalability from prior vendor tools.

Moving to Qubole, Neustar used Intelligent Spot Management, workload-aware autoscaling, aggressive downscaling, and automated pre/post-model data checks to boost performance and reliability. Results included shrinking end-to-end model turnaround from six months to three weeks, cutting data-validation cycle time by more than 62%, reducing compute costs by 85–95%, and delivering faster, more trustworthy insights to clients.

Neustar Unified Analytics

Dan Peterson

Vice President of Systems Engineering