Question: Is there a platform that offers customizable dashboards and data visualization for tracking and analyzing publicly traded companies?

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Tableau

If you need a platform for creating customizable dashboards and visualizing data to track publicly traded companies, Tableau is a top contender. Tableau offers a full-fledged analytics platform with a range of options for cloud, on-premises and Salesforce CRM deployment. Its drag-and-drop interface makes it easy to create visualizations and share findings. With AI/ML abilities and governance tools, Tableau enables a data culture that helps optimize operations and get results.

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FinChat

Another strong contender is FinChat, an integrated research platform geared for investments. FinChat offers institutional-quality financial data combined with advanced analytics and AI-driven tools. It offers customizable terminals, advanced data visualization and a range of features such as DCF modeling and portfolio dashboarding. It's good for individual investors and financial services companies that need a way to get detailed financial information and monitor performance.

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Sisense

Sisense is another option. It offers a full-fledged analytics platform with tools to build AI-infused analytics into other applications. Sisense can handle multiple data sources and offers pro-code, low-code and no-code options for advanced analytics. It's highly customizable, letting you create interactive dashboards and share findings through different channels. That makes Sisense a good choice for businesses and developers that need a broad range of analytics options.

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Polymer

If you prefer AI-powered tools, Polymer offers a dashboard creation platform that automatically transforms complex data into insights. Polymer can handle multiple data sources and offers AI-driven insights, personalized visualization and easy sharing and collaboration. Its pre-built templates and broad range of data connectors make it a good choice for anyone who wants to quickly create and customize dashboards, including those who aren't data scientists.

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