#Japan #Tokyo #Data Management #R&D Department #Excel Seminar

Introduction

The use of Excel has become increasingly prevalent in the handling of research and experimental data within R&D departments. However, there are significant challenges related to data management, often resulting in a situation where only designated personnel understand and can access the vital datasets. This situation can lead to missed opportunities for analysis, comparison, and transfer of knowledge within the organization.

In recognition of these challenges, the Technical Education Institute will host an online seminar aimed at overcoming the burdens of personalized data dependence in R&D departments. The seminar is tailored to equip attendees with strategies for structured data accumulation that facilitates exploration and analysis.

Seminar Overview

Title:

Effective Data Accumulation and Analysis Techniques using Excel in R&D Departments

Format:

Online participation via Live streaming (Zoom) / Archival streaming

Schedule:

• - Live Session: June 12, 2026, 10:30 AM - 4:30 PM
• - Archive: June 16 - June 30, 2026

Fee:

49,500 yen (incl. tax) per participant (discount available for multiple registrations)

Instructor:

Yutaka Ueshima (President of Quatre-I Science Co., Ltd.)

Purpose and Target Audience

This seminar seeks to enhance the data sharing and utilization processes concerning research and experimental data within R&D departments, primarily focusing on Excel usage. It is particularly designed for:

• - R&D researchers in the chemical and material sectors (though other R&D fields will also benefit)
• - Group leaders in R&D departments
• - Digital Transformation (DX) promoters in R&D
• - Management teams considering R&D improvements

Seminar Program

1. Introduction
The instructor presents their experience and previous efforts in data sharing and utilization in R&D.
2. Current State of Data Sharing in R&D
- 2.1 The realities of data accumulation in R&D departments
- 2.2 Causes behind the personal nature of data collection
- 2.3 Problems arising from overly personalized data management
3. Strategies for Improvement
- 3.1 Approaches necessary to overcome personalized data scenarios
- 3.2 Effective design of data accumulation with analysis in mind
- 3.3 Methods for data analysis using accumulated information
- 3.4 Establishing project teams to enhance data sharing and utilization
4. Common Pitfalls and Prevention Strategies
- 4.1 Common pitfalls when starting data accumulation and database creation, and preventative measures
- 4.2 Issues that may arise post data accumulation and database creation, with strategies to mitigate them
5. Conclusion
Summarizing the key takeaways to implement effective change in R&D data management.

Conclusion

The Technical Education Institute continues to provide practical knowledge and expertise through their educational services for engineers in the manufacturing industry, including seminars, e-learning, training, and publications. With over 50 years of experience, Nihon IR Co., Ltd. offers specialized services covering patent and intellectual property solutions, technical information research and analysis, and the development of technology-oriented educational content.
Visit Nihon IR Co. for more information and register for the seminar today to secure your improvements in R&D data management processes.