3 Stakeholders that Data Scientists Should Work Closely With

3 Stakeholders that Data Scientists Should Work Closely With

In recent years, there has been an exponential increase in the use of data science to solve various problems in organizations. As such, data scientists have emerged as key players in organizations, taking up roles in data analysis and data management. However, data analysis is not a solo job. It requires the input and cooperation of various stakeholders in the organization. This article highlights three key stakeholders that data scientists should work closely with.

1. Business Leaders

Business leaders play a crucial role in any organization. Data scientists must work closely with business leaders to ensure that the analysis carried out aligns with the organization's goals. They should also have a good understanding of the business's financial structure and strategic goals to ensure that the insights gathered are actionable. In addition, data scientists should understand the organization's business model and the competitive landscape to be able to provide a more robust analysis of the data.

2. IT Professionals

IT professionals ensure that the data scientists have the necessary infrastructure and tools to work efficiently. They should work together to ensure that the data is of high quality, accurate and accessible when it is needed. IT professionals also play a crucial role in the management of data privacy, security, and compliance. Data scientists may not have the skills or knowledge needed to ensure data privacy and compliance, and this is where they need to liaise with IT professionals to ensure all required regulations are followed.

3. Domain Experts

No matter how skilled a data scientist is, they may not understand the intricacies of the organization's area of operation or field. Domain experts possess the necessary knowledge and experience required to understand the data. Collaboration between domain experts and data scientists will result in more accurate and meaningful insights.

In conclusion, data science is not a solo job. It requires collaboration with various stakeholders in the organization. Business leaders offer invaluable insights as they are responsible for the success of the organization. IT professionals ensure the infrastructure is in place and data privacy and security are maintained. Domain experts provide subject matter expertise that is needed in analyzing data in their respective fields. When data scientists work in collaboration with these stakeholders, they are guaranteed to get the best results from their analysis. Therefore, it is essential for data scientists to form cooperative relationships with business leaders, IT professionals, and domain experts.

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