Data Analysis
Analyzing all types of data supports your business success, enabling data-driven marketing activities tailored to your current business environment.
Data Analytics
Analyzing all types of data supports your business success, enabling data-driven marketing activities tailored to your current business environment.
## Customer Behavior Analysis
By analyzing big data such as each customer's purchase history and attribute data, we predict what customers will do next. We support marketing activities, including improving the accuracy of service proposals and recommendations tailored to each customer.
## Location-Based Analysis
Combining visit and movement data—broken down by time of day and day of the week—with attributes such as age, gender, place of residence, and occupation enables us to support area marketing, trade area analysis, and regional revitalization.
## Case Studies
- [Case Study: Telecommunications Industry](https://www.fork.co.jp/en/case/501.html) (Data Analytics, Data Operations Support): Optimizing service proposals to customers by leveraging AI to reduce dependency on individual staff skills. In existing service proposal activities, a key challenge was that the content of proposals and target selection relied too heavily on the individual skills of each representative. At the same time, while companies possessed vast amounts of accumulated historical data and development resources, they were not being utilized sufficiently. By building a system that learns, from this customer data, the patterns of customers who signed contracts and prioritizes proposal activities accordingly, we increased revenue. ■ AI Utilization in Customer Targeting - Built a model that uses AI to learn the patterns of customers who closed deals and predicts which customers are likely to convert in the future. ■ Big Data Processing and Analysis - Identified basic trends through fundamental aggregation of customer data. ■ Business Translation - Translated business challenges faced by field representatives into data science tasks for developers.
- [Case Study: Tourism Industry](https://www.fork.co.jp/en/case/502.html) (Data Analytics, Data Platform Development, Data Operations Support): Understanding traveler characteristics through the analysis and visualization of location-based big data. Using smartphone GPS data, visitor movement patterns—where travelers originate, the sequence of destinations visited, and high-traffic gathering spots—were quantitatively analyzed and visualized. This approach enabled granular insights, revealing not only where visitors congregate but also the relative distribution across locations. ■ Analysis and Visualization of Location Information ■ Construction of Visualization Infrastructure
### Other Services
Analyzing all types of data supports your business success, enabling data-driven marketing activities tailored to your current business environment.
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