Data-driven organization

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Determine that losing an employee in less than 90 days represented a net loss to the company, and that millions of dollars are saved for reduced employee turnover. 1%. This awareness, driven by data, has prompted the company to take steps such as better talent development and spending US$1 billion to increase the salaries of its employees. This builds stronger internal teams that result in better customer service and a more productive workforce.

The obstacles to this new corporate Phone Number List culture Establishing a  in your company is a good way to manage its growth. However, this is not easy due to the following challenges: Lack of technical staff : Data science is a fairly new field, therefore, few people have the right skills to work with data. Employees need to be trained both theoretically and practically to extract valuable business insights from data sets and make the organization more data driven.



Lack of an ETL (Extract, Transform and Load) tool : This happens in some cases when companies are not able to follow the ETL process properly. So one needs to choose the right tool to ensure optimization of this process, which will make the organization more data-driven. ETL process Source: Talend Inability to collect real-time data : The organization may also end up making decisions based on stale data, which can lead to poor business decisions.