What is the "data preparation process" that is the key to maximizing the use of talent management?

Have you ever been worried that you have introduced talent management but are not seeing the desired results when using data?

In recent years, with the declining working population due to a declining birthrate and aging population, the appropriate allocation of human resources and maximizing performance have become even more important themes for companies.
This is why "talent management"* is attracting attention and is being used by many companies.

• Talent management is a management method that aims to maximize the performance of employees and organizations by utilizing information about employees' abilities and skills.

Common challenges after implementing talent management

In a survey of companies on "introducing talent management" conducted by HRBrain Inc. (2020: sample size 500: multiple answers), four of the top five challenges after introducing talent management were data-related.

◆ Four data-related challenges

• Incorporation and establishment into business processes: 34%
  *Work such as reflecting constantly changing human resources data in each system
• Insufficient data to conduct analysis: 29%
• Data organization (pre-organization of data, etc.): 28%
• Lack of centralized data management: 28%

The data preparation process can be a burden on your work

The types of human resources data range widely, including salary, skills, evaluations, attendance, and family composition.
To utilize data in talent management, it is important to prepare the data in an up-to-date state.
There are three main steps required for data utilization. *See the diagram below.
And it is clear from the above that Steps 1 and 2 are major challenges.

[Solution Key] Leave data preparation to HULFT Square
Easy automation with no-code/low-code

By utilizing HULFT Square, a cloud-based data integration platform, you can automate data integration using no-code/low-code methods.

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