Kakao Applied Analytics Team Reveals Roles and Collaborative Culture to Maximize Data Asset Value

The Kakao Applied Analytics Team is an organization that handles all data within the data ecosystem to maximize the value of data assets. It operates as a single team comprising analysts, engineers, modelers, and planners, featuring a flexible collaboration structure that breaks down work boundaries, allowing data engineers to perform analysis and engineers to participate in modeling.

Enhancing Data-Driven Services

The team's core task is to infer the tendencies and characteristics of service users through user profiling. By modeling and segmenting demographic and interest data, they utilize it for targeted advertising and new service launches. Additionally, they diagnose phenomena through in-depth analysis and simulations, and productize validated insights into search and recommendation modules to improve service quality.

Tech Stack and Collaborative Culture

To manage data stably for large-scale processing, they utilize open-source technologies such as Spark, Hive, and Airflow. To lower psychological barriers in remote work environments, they are conducting various experiments, including online team dinners and metaverse workspaces. They support member growth by holding weekly machine learning studies and technical seminars, and demonstrate data value through collaborations with actual service organizations, such as KakaoTalk emoji recommendations.