A successful case of improving business efficiency through centralized management of data, such as referencing past data.
We would like to introduce a case study of the implementation of "BizForecast" at ITOCHU Singapore Pte Ltd. The company faced several challenges, including the reduction of work hours, timely reporting, and responding to organizational changes, and began considering the introduction of a system that could improve efficiency without significantly altering the current processes. After implementation, the company was able to achieve an average annual cost reduction due to a decrease in the man-hours of the personnel involved in the aggregation tasks. Additionally, the systematization of the aggregation work helped prevent data transcription errors and omissions, while standardizing tasks that had become dependent on specific individuals. [Challenges] - The aggregation work required approximately 2 to 3 days of man-hours each month. - Each time there were changes to the account titles or organization of the local subsidiaries, it was necessary to revise the Excel formulas. *For more details, please download the PDF or feel free to contact us.*
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【Introduction Effects】 ■ Achieved annual average cost reduction due to a decrease in the man-hours of the personnel involved in the aggregation work. ■ Enabled the creation of monthly financial reporting materials in a one-stop manner, without separating data collection, processing, and reporting. *For more details, please download the PDF or feel free to contact us.
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For more details, please download the PDF or feel free to contact us.
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In the field of "management control," traditional systems designed with the assumption of standardized operations often do not fit well due to reasons such as the susceptibility of operations and metrics to changes in the external environment and management policies, and the significant involvement of human judgment in business processes. Since its founding, Primal has aimed to provide management control systems, which are often perceived as high-threshold, as easy-to-use tools similar to calculators or Excel, while being secure, robust, and highly flexible to adapt to changes. We have continued our efforts to make these tools more accessible for many companies. Moving forward, we will strive to improve the accuracy of performance forecasting through the use of AI (artificial intelligence), provide development platform services specialized in the development and construction of business applications for management control purposes, and accelerate our overseas operations.
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