Our goal has been to quantify the natural language categories of financial institutions. It is difficult to create formulas in natural languages because the units are different and some have no units. Our company has devised a unique method that makes this difficult task possible, and has built it as a method for analyzing the information we have. This technology is based on a mathematical worldview of financial institution information. This has made it possible to numerically identify potential customer groups from existing customers of financial institutions in a commercial area. The quantification of existing customers in the area market field is a new way of using it, making it possible not only to analyze and analyze customers, but also to analyze customer diversity in more detail. The key to diversity in companies is to seek out the needs and diversity of wealthy customers by structuring various categories such as “age, health, educational background, lifestyle, and values”of customers who bring profits.
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