Data Mining

Glossary

"Data mining"

Explain the meaning of data mining.

What is Data Mining?

Data mining is a technique for finding useful information and insights from large amounts of data using statistical methods and machine learning algorithms.

There are various analytical techniques used in data mining, but commonly used techniques include "clustering," "logistic regression analysis," and "market basket analysis."

Data mining can do three main things: predict the probability of occurrence, classify data, and extract relationships. For example, in the retail industry, analyzing customer data and purchasing data can be useful for marketing purposes, such as predicting product sales and providing products that match customers. Data mining is not only used in the retail industry; it is also used for customer segmentation and credit risk assessment in the financial industry, diagnostic support and drug efficacy prediction in the medical industry, and product quality control and production process optimization in the manufacturing industry.

In recent years, data mining tools have become available to enable efficient data mining, and are being used in business.

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"DataSpider," data integration tool developed and sold by our company, is a "connecting" tool with a long history of success. "HULFT Square," a data integration platform, is a "connecting" cloud service developed using DataSpider technology.

Another feature is that development can be done using only the GUI (no code) without writing code like in regular programming, so business staff who have a good understanding of their company's business can take the initiative to use it.

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There are many simple collaboration tools on the market, but this tool can be used with just a GUI, is easy enough for even non-programmers to use, and has "high development productivity" and "full-fledged performance that can serve as the foundation for business (professional use)."

It can smoothly solve the problem of "connecting disparate systems and data" that is hindering successful IT utilization. We offer a free trial version and online seminars where you can try it out for free, so we hope you will give it a try.