The biggest challenge in the early stages of implementation! "The new system is not being adopted within the company!"
No training required! Internal operations can be conducted with just the user guide!
In BI21, where the user interface and operations are completely similar to Excel, the concepts of data management and the aggregation mechanisms are significantly different from traditional Excel while maintaining the familiar feel of Excel operations. I believe it can make the most of Excel's strengths and be used for improving Excel-based business processes.
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basic information
Introduction of a new system within the company. Many companies may decide to implement it after considering improvements to existing operations and efficiency. However, once actual operation begins, it is often heard that users express contradictory sentiments such as "I don't know how to use it," "it ended up increasing the workload," or "it was easier when I was used to the old way." As a result, it is not uncommon for them to revert back to Excel-based operations. With BI21, users can operate seamlessly from the very beginning of implementation, using just the user guide! How is it possible for a company's system to change so smoothly? If you're curious, please check the catalog for details. This technical handbook outlines common challenges with Excel-based operations and examples of improvements using BI21, so if you're interested in the content, please feel free to download the materials!
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Applications/Examples of results
Improvement of in-house Excel operations - possible as a one-stop solution from data analysis to execution.
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Company information
We provide a one-stop service that is not specialized in any specific field, utilizing the foundational technologies cultivated through years of infrastructure system and cloud system construction and operation, from the latest infrastructure construction and data design level to the design of IoT devices and solutions, BI tools for data visualization, and the design of machine learning and deep learning environments at the theoretical and algorithmic levels.
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