Home Technology UMU and PathosLogos Forge Partnership to Enhance Human Capital Management through Integrated Data

UMU and PathosLogos Forge Partnership to Enhance Human Capital Management through Integrated Data

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UMU and PathosLogos Forge Partnership to Enhance Human Capital Management through Integrated Data

Tokyo, Japan – Umu Technology Japan Inc. (Headquarters: Shinjuku, Tokyo; CEO: Shuhei Matsuda) and PathosLogos Inc. (Headquarters: Shinagawa, Tokyo; CEO: Masayuki Makino) have announced a strategic collaboration aimed at strengthening human capital management through integrated data solutions.

Advancing Human Capital Management

In an era where human capital is increasingly valued, leveraging individual skills, knowledge, and experience to foster sustainable corporate growth is crucial. However, many companies face challenges in measuring the effectiveness of employee skill development and training initiatives. UMU and PathosLogos are addressing these challenges by integrating AI-driven learning platforms with human resources data to identify skill gaps and deliver effective training solutions.

Innovative Solutions

  • AI-Enhanced Learning Platform (UMU): UMU brings extensive experience in supporting corporate training and development. The platform, powered by cutting-edge AI technology, provides an efficient and effective approach to employee skill enhancement. By leveraging advanced AI, UMU ensures that employees’ skills are improved and developed in a streamlined manner.
  • PathosLogos HR Co-Creation Platform: PathosLogos offers a standardized human resources database that integrates various aspects such as labor, payroll, attendance, skills, and evaluations. By connecting this data with UMU’s learning platform, companies can efficiently manage a range of services and elevate their HR capabilities.

Key Initiatives

  1. Correlation Analysis of Training Outcomes and Performance Evaluations: UMU and PathosLogos will integrate training completion data and performance evaluations to quantitatively analyze the impact of training on employee performance. This approach helps in identifying effective training programs and enhancing learning strategies that drive performance improvements.
  2. Automated Training Recommendations Based on Skill Gap Analysis: Through data integration, the collaboration will analyze individual skill profiles and performance data to automatically recommend content that addresses specific skill gaps. This results in personalized learning plans that promote skill advancement.
  3. Integrated Analysis of Learning Outcomes and Engagement: By comparing training implementation data with engagement survey results, the partnership will assess the impact of educational initiatives on employee motivation and performance. This data-driven approach will support the continuous improvement of training strategies.

About PathosLogos

PathosLogos is an HR co-creation platform that consolidates extensive HR knowledge and provides a standardized database of human-related data. It integrates with various SaaS solutions, creating a seamless ERP system for efficient HR operations.

About UMU

UMU is a next-generation learning platform that revolutionizes corporate training through AI technology and learning science. Used globally across various industries, UMU enhances training effectiveness and employee performance. The platform is recognized for its high satisfaction and impact in the IT review rankings, including being named the No.1 product in the “ITreview Best Software in Japan 2022.”

Company Profiles

PathosLogos Inc.

  • Headquarters: 5F Gotanda Kowa Building, 8-1-5 Nishi-Gotanda, Shinagawa-ku, Tokyo
  • CEO: Masayuki Makino
  • Established: October 2020
  • Business: Development and sales of HR co-creation platforms and SaaS solutions

UMU Technology Japan Inc.

  • Headquarters: 18F JR Shinjuku Miraina Tower, 4-1-6 Shinjuku, Tokyo 160-0022
  • CEO: Shuhei Matsuda
  • Established: February 9, 2018
  • Business: Sales of the UMU learning platform utilizing internet technology

This collaboration marks a significant step towards advancing human capital management through innovative data integration and AI-driven solutions.

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