The theme is narrowed down

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hasnasadna
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The theme is narrowed down

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" On the other hand, data utilization is not widely used in fields such as "maintenance, maintenance, and support" and "basic research and risk management." In this way, understanding the fields that are suitable for data utilization makes it easier to create an appropriate strategy. Business areas where data is used Source: Ministry of Internal Affairs and Communications, Contract report on research into the current state of measurement and utilization of the economic value of digital data For more information on "data marketing," a marketing method that utilizes data, please see the following article: What is data marketing? Explaining its importance, benefits, and implementation steps What is data marketing? Explaining its importance, benefits, and implementation steps It is essential to secure resources for data analysis Data analysis requires advanced knowledge, so it is necessary to secure dedicated personnel.


However, there is currently a shortage of IT personnel croatia telegram database with data analysis skills. According to an announcement by the Ministry of Internal Affairs and Communications, the proportion of "specialized personnel" and "non-specialized personnel" in charge of data analysis is almost equal. However, in small and medium-sized enterprises that cannot afford to acquire human resources, the proportion of non-specialized personnel is 50.6%. Data analysis system Source: Ministry of Internal Affairs and Communications, Contract report on research into the current state of measurement and utilization of the economic value of digital data Current issues with data utilization Current issues with data utilization There are three current challenges facing data utilization: Data analysis methods are not efficient There is a risk of confidential information being leaked Shortage of people with data skills Data analysis methods are not efficient A major issue with data analysis is that it is often done in an inefficient manner.


While it would be convenient to use "AI systems" or "BI tools" to utilize data, currently it is generally done using spreadsheet software such as Excel. Using IT systems allows for more efficient and accurate data analysis. There is a risk of confidential information being leaked Depending on the type of data handled in data analysis, there is a risk of customer information and confidential information accumulated by the company being leaked. If information leaks occur, not only will customers suffer disadvantages, but the company's image will also be damaged.
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