Data analysis

Glossary

"Data Analysis"

Explain the meaning of data analysis.

What is Data Analytics?

Data analysis involves collecting, organizing, classifying, shaping, and selecting data to understand its characteristics, trends, and patterns, and to obtain valuable information and insights that can be used for decision-making and problem-solving.

Data analysis techniques include cross-tabulation, association analysis, cluster analysis, decision tree analysis, etc. In recent years, analytical methods using machine learning, in which computers learn patterns and relationships from data to classify and predict, and data mining, in which computers discover information and insights from data, have also become more common.

Data analysis allows companies to predict market trends, identify customer needs that can lead to improvements in products and services, manage risks, etc. However, accurate data analysis requires personnel with specialized knowledge and skills in statistics, data analytics, data science, etc., and securing and developing personnel with such knowledge has become a challenge.

Are you interested in "iPaaS" and "connecting" technologies?

Try out our products that allow you to freely connect various data and systems, from on-premise IT systems to cloud services, and make successful use of IT.

The ultimate "connecting" tool: data integration software "DataSpider" and data integration platform "HULFT Square"

"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.

Try outDataSpider/ HULFT Square 's "connecting" technology:

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.