Case Study: ProSieben achieves 10x lower TCO with LatentView Analytics cloud data lake migration

ProSieben cuts data processing lead time by 67% with LatentView Analytics

LatentView Analytics partnered with ProSieben, a major German television network, which was facing exponential data growth that overwhelmed its on-premise Hadoop system. This led to capacity constraints, an inability to run analytical workloads, and frequent business process failures, all while data was growing 30% month-over-month.

The solution from LatentView Analytics involved migrating 28 data sources from the legacy on-premise system to a new AWS cloud-based data lake. This migration replaced legacy ETL workflows with native AWS components. The results were significant, including a 67% reduction in data processing lead time, 22% cost savings, and the ability to onboard new data sources in a week instead of months, all while achieving a 10x lower total cost of ownership.

ProSieben