Software developed for latent class analysis. It features an easy-to-use interface that can be operated with a mouse.
Latent class analysis is a method that classifies observational subjects based on the relationships between categorical variables within the vast amounts of data (Big Data) accumulated individually. Latent GOLD can handle not only categorical variables but also discrete count variables and continuous variables. Since latent class analysis assumes that the population is a mixture of heterogeneous groups, it is widely used as a tool for segmentation and targeting in the marketing field. Additionally, its use is expanding in various fields, including healthcare. As the utilization of Big Data continues to grow, this analytical method is expected to receive increasing attention.
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basic information
Latent GOLD consists of the basic set Basic (required) and two add-ons, Choice and Adv/Syntax, along with their combinations.
Price information
Latent GOLD Basic Standard Annual License: 99,000 yen (excluding tax) ~ *An academic license is also available separately.
Delivery Time
Applications/Examples of results
Big Data Healthcare Medical Information Health Data Marketing Data Analytics
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Company information
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