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  6. [Case Study] Panasonic Operational Excellence Co., Ltd.

[Case Study] Panasonic Operational Excellence Co., Ltd.

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last updated:May 29, 2025

プラスアルファ・コンサルティング 本社
プラスアルファ・コンサルティング 本社
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Utilizing report creation support to increase understanding and execution from the dissemination of corporate citizenship activities.

We would like to introduce a case where Panasonic Operational Excellence Co., Ltd. implemented our "Visualization Engine." Quantitative data is easily visualized in numbers, but qualitative data is difficult to measure, often relying on subjective confirmation through visual inspection. Additionally, we wanted to improve the efficiency of survey aggregation, which was being done manually by the person in charge of each program. By utilizing services that include "Solrepo" for survey analysis, we were able to eliminate analysis resource constraints while enabling advanced analysis, resulting in higher resolution of analysis results. [Challenges and Background] - We wanted to utilize qualitative data, which had been limited to visual inspection, for improvement activities. - There was a lack of resources for qualitative data analysis. - We felt the need to reconsider aspects such as survey design to enhance the analysis. *For more details, please refer to the related links or feel free to contact us.*

    Business Intelligence and Data Analysis
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[Case Study] Panasonic Operational Excellence Co., Ltd.

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【Results】 ■ Although both received good ratings of 4 and 5, there were actually differences in the degree of behavioral change that were not visible through quantitative aggregation or visual inspection. These trends have been made clear. ■ The analysis results are being used to improve and review activities. *For more details, please refer to the related links or feel free to contact us.

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プラスアルファ・コンサルティング

プラスアルファ・コンサルティング 本社

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As a company that continues to create added value from all kinds of information, we have been providing cloud solutions centered around technologies such as 'text mining' and 'data mining' since our establishment in 2006. We visualize big data, such as customer voices, customer data/purchase data, and HR information, and have the power to provide insights.

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