Data visualization consultant selects tools based on the complexity of the data, the project’s goals, and the client’s needs. For instance, tools like Power BI and Tableau are ideal for creating interactive dashboards, while D3.js is used for more customized, web-based visualizations. Consultants also consider factors such as data size, real-time analysis requirements, and the desired level of interactivity. They choose tools that align with the organization’s existing tech stack to ensure seamless integration and long-term scalability, ultimately selecting the best solution to turn data into meaningful, actionable insights.
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