Building Commercial Data Products: From Infrastructure to Business Enablement
This article shares a comprehensive guide on constructing commercial data products, covering advertising data use, the three-stage data infrastructure build, content modeling, and how data-driven platforms empower business decisions across executives, managers, and analysts.
The session outlines how to build commercial data products, covering the role of data in advertising, the evolution of commercial business stages, and the focus of data at each phase.
It describes three infrastructure stages—foundation, rapid expansion, and refined operation—emphasizing breaking data silos, establishing unified metrics, and enabling real‑time and offline warehouses.
Data content construction is explained through business abstraction, theme division (user, traffic, client, platform), and content modeling, illustrating how metrics are derived from business processes.
Data empowerment is discussed by identifying product users (executives, managers, analysts), defining three levels of data value (business transparency, decision transparency, global optimization), and presenting BI and operational analytics platforms that support monitoring, diagnosis, and predictive analysis.
The Q&A addresses content modeling, commercial event tracking quality, and user‑profile applications in advertising.
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