Data Intelligence Driving Business Growth: Overview of CI, BI, and AI
This presentation explains how data intelligence—through Customer Intelligence, Business Intelligence, and Artificial Intelligence—addresses key data challenges, enhances user profiling, automates analytical insights, and enables conversational data consumption to drive efficient, data‑driven business growth.
Introduction: The session focuses on how data intelligence drives business growth, emphasizing the need for intelligence across product operations, engineering, analysis, and management.
Key questions: Is data‑driven important? Is your business data‑driven? What value does data investment create?
Main content includes four parts: background, CI (Customer Intelligence), BI (Business Intelligence), and AI (Artificial Intelligence).
Background outlines three challenges in data application: low analysis efficiency, heavy data‑department workload, and high infrastructure cost.
CI section describes user profiling with eight tag categories, unified user definition, and the Wànxiàng platform that provides user portraits, behavior analysis, and VOC integration for comprehensive user insight.
BI section presents a BI platform that offers intelligent analysis, automated insights, and tools such as TOPN, distribution analysis, and anomaly detection to improve decision‑making across daily, weekly, and monthly scenarios.
AI section discusses leveraging large models to enable conversational data consumption, reducing reliance on manual dashboards, and building a multi‑end data consumption matrix.
Conclusion: Accurate, timely data combined with CI, BI, and AI capabilities empowers efficient business decisions and maximizes data value.
DataFunTalk
Dedicated to sharing and discussing big data and AI technology applications, aiming to empower a million data scientists. Regularly hosts live tech talks and curates articles on big data, recommendation/search algorithms, advertising algorithms, NLP, intelligent risk control, autonomous driving, and machine learning/deep learning.
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