Case Study: New York Post achieves a single source of data truth and rapid production rollout with Ascend.io

How the New York Post went from pilot to production with Ascend in three months for a complete view of reader, advertising and other data

The New York Post, a highly data-driven publisher, needed a faster, scalable way to ingest, aggregate, transform and deliver reader, advertising and other business data—especially with Google’s imminent third‑party cookie changes and aggressive timelines for internal reporting and a unified Customer Data Platform. Rather than build an internal ETL stack, the New York Post partnered with Ascend.io and adopted the Ascend Unified Data Engineering Platform to accelerate delivery.

Ascend.io implemented an ETLT-driven, enterprise-grade pipeline that integrates AWS, Google Cloud/BigQuery, Vidora and the internal CDP, automating data orchestration and creating a single source of truth for the organization. The team moved from pilot to production in three months, dramatically accelerating time-to-market for new data streams, eliminating manual transforms, and allowing staff to focus on higher-value analytics and personalization work.

New York Post

Ariscielle Novicio

Senior Vice President & Head of Technology