Level: Beginner
In recent years, business intelligence and people analytics, which analyze and visualize data accumulated daily in corporate management and are useful for strategy formulation and decision-making, have been attracting attention. In this presentation, we will report on a case where survey data on employees and organizations was analyzed using JMP and the results were used in consulting proposals for management decision-making.
In corporate management consulting activities, quantitative and qualitative organizational surveys are essential to understand the actual state of an organization. In order to realize the sustainable growth of an organization that is brought about by the growth of each employee, it is desirable to visualize the state of the organization from these survey data and use it for future predictions and decision-making.
In this case study, we will apply a methodology using JMP's multivariate analysis function and visualization tools such as analytical model diagrams and structural model diagrams to the data acquired by Company A. As a result, it will be possible to make easy-to-understand proposals to the management of Company A. In this presentation, we will introduce a series of steps from data acquisition to proposals, using an analysis method that goes one step further than general analysis using descriptive statistics.
After working for a marketing-related company, an EAP (Employee Assistance Program) service provider, and a venture company, he became independent as an organizational and human resources consultant. While working in corporate organizational and human resource development, he went on to a doctoral program as a working graduate student and began research on the theme of analysis and design based on questionnaire surveys and questionnaire experiments. After graduating, he continued to combine corporate practice and research, focusing on themes in the social sciences, and is currently a special lecturer in the School of Business Management at J. F. Oberlin University, a director of the NPO GEWEL, and representative of FREELY LLC, where he is developing theories and applying them to practice. http://researchmap.jp/sho-kawasaki/
Takenori Takahashi
He has been researching QM (quality management), SQM (statistical quality management) and design theory for nearly 50 years. Since the beginning of the 21st century, he has proposed a design paradigm called Hyper Design, developed its mathematical theory, HOPE theory, and is co-developing its support software, HOPE-Add-in, with SAS. He has realized a new design method by combining the concept of Hyper Design, the statistical mathematics of HOPE theory, and the support tool, HOPE-Add-in for JMP. He has also proposed multi-group principal component regression analysis as a social science extension of this theory.
Masae Tachibana
Since opening his office as a social insurance and labor consultant, he has focused on building personnel systems, and has supported over 80 companies. He believes that in order to build the optimal system for each company, it is essential to diagnose the organizational culture and analyze wages using employee interviews and surveys. He established Japan Consulting Firm, a group of experts who provide support for all aspects of management, and aims to be a team that can find causal relationships based not only on experience and intuition, but also on data, extract highly accurate management issues, and propose ways to improve corporate performance and develop the organization.
