As data analysis and Big Data technologies are used more and more, the hype around data scientists is growing. They are expected to radically change the way we do business in the near future. At the start of a project, data scientists are constantly experimenting with deductive methods or hypothesis testing to find business problems. When problems are revealed more fully, inductive methods or methods of searching for patterns begin to be applied.
The activities of data scientists significantly improve the usability, the availability of data science and consulting company that is collected by, and also improves the rhetoric around them.
It is well proven that data scientists can solve specific business problems. For example, in the same book by Booz Allen Hamilton, it is indicated that by increasing data utilization by 10%, a company can increase its productivity by 49%. With a data availability improvement of only 10%, the potential ROA (return on asset) in a company can increase by 42%. Organizations making the most of the potential of big data are reporting 241% ROI (return on investment) growth. And leveraging data analytics across the company increases ROI by 1000%.
Data scientists can handle events such as real-time data streaming, which has become a popular and efficient source of data processing for enterprises. They know how to install Kafka on Windows and handle all integrations and management of the architecture, event streams, Kafka broker, and more. They coordinate with developers to ensure that all servers and data streams function smoothly.
In such a society, we will all become a bit of a data scientist – a specialist will play a leading role:
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