Data Scientist

Glossary

"Data Scientist"

Explain what it means to be a data scientist.

What is a Data Scientist?

A data scientist is an expert who acquires and analyzes large amounts of data, such as big data, to solve business and operational problems. For example, they present issues related to business strategy, product development, marketing, customers, and various business risks, and propose solutions based on the analyzed data.

The work of a data scientist is wide-ranging, including extracting and understanding business issues, creating an environment for data acquisition, formulating and verifying hypotheses, analyzing data, reporting the results of the analysis, and making proposals for solving problems.

Furthermore, there are three main skills required of data scientists: data science skills, which include techniques and knowledge in areas such as information processing, machine learning, and statistics; business skills, which allow them to understand the target business and apply them to solving specific problems; and data engineering skills, which allow them to create, implement, and operate a foundation that can achieve results using data science.

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 hinders 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.