Case Study: Ippen Digital achieves lightning-fast, real-time analytics and 30× self-service user growth with Imply

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Ippen Digital Gets Lightning Fast and Robust with Imply

Ippen Digital, a subsidiary of the Ippen Publishing Group in Germany, needed a stable, automated analytics engine to handle heavy real-time traffic and large-scale aggregation for its content, subscriptions and advertising platform. After running open-source Druid themselves, they engaged Imply to provide production-grade Druid operations and tooling (including Imply’s platform and Pivot) to avoid a fragmented “data swamp” and enable real-time access to all data.

Imply implemented a compact data application architecture alongside Kafka and TigerGraph, ingesting 100% of streaming data into Imply for storage, querying and presentation. The solution enabled machine learning workflows (feeding JupyterHub), launched a new revenue stream, increased self-service analytics users by 30x, and reduced costs by 25% while improving performance — all driven by Imply.


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Ippen Digital

Jan Ippen

CEO


Imply

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