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Some potential obstacles to consider include resistance to change from employees, lack of data literacy, and the need for specialized training in data analytics tools.

Some potential obstacles to consider include resistance to change from employees, lack of data literacy, and the need for specialized training in data analytics tools. To solve these problems, it might be helpful to get help from people who know how to manage change, teach people how to use data, and teach employees how to analyze data. Also, working with experts or companies that have experience with using data analytics in the chemical and cosmetics industry can give helpful advice and help

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