What is data analysis? An explanation of 15 types of methods along with their advantages and disadvantages!
Covers everything from the basic concepts of data analysis to 15 representative methods! Detailed explanations of the advantages and disadvantages are also provided.
Data analysis is an essential method for utilizing vast amounts of data to support decision-making. In business, data analysis is indispensable for enhancing competitiveness and achieving efficient operations. The analytical methods vary depending on the purpose and situation, each having its own strengths and challenges. This article covers the basic concepts of data analysis and includes 15 representative methods, detailing their merits and demerits. Additionally, it will introduce points for effectively utilizing data analysis, serving as a reference for finding the appropriate methods. *For detailed content of the article, you can view it through the related links. For more information, please download the PDF or feel free to contact us.*
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We offer the sale of globally renowned software products such as 【FineReport】 (reporting, BI, IoT visualization) and 【FineBI】 (self-service BI), as well as related services including implementation, development, training, and maintenance. We also sell our proprietary business automation tool (RPA) 【Bp-Connect】. In the big data and IoT market, we assist client companies with projects involving data visualization, analysis, processing, organization, integration, and the establishment of data infrastructure to effectively utilize their data. Please feel free to contact us if you have any inquiries.
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