Data Visualization

Popular Data Visualization Tools: A perspective 

Data Visualization is a crucial aspect of data analysis and helps individuals to gain a better understanding of complex data sets by presenting information in a visual format. In this blog, we will be discussing some of the popular data visualization tools that are widely used today. 

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1. Tableau:

Tableau is a popular data visualization tool that is known for its powerful data visualization capabilities. It allows individuals to connect to various data sources and create interactive dashboards, reports, and charts. Tableau is a popular choice for organizations due to its ability to handle large amounts of data and its intuitive drag-and-drop interface. 

2. Power BI:

Power BI is a business intelligence and data visualization tool developed by Microsoft. It is designed to help organizations visualize their data and gain insights from it. Power BI allows individuals to connect to a variety of data sources, create interactive dashboards, and share insights with others. It is a popular choice for organizations due to its tight integration with other Microsoft tools and its ability to scale to meet the needs of large organizations. 

3. Apache Superset:

Apache Superset is an open-source data visualization tool that is built on top of the Flask web framework. It allows individuals to connect to various data sources, create interactive dashboards, and share insights with others. Apache Superset is a popular choice for organizations that are looking for an open-source and flexible solution for data visualization.

4. Qlik:

Qlik is a data visualization tool that is known for its in-memory data analysis capabilities. It allows individuals to quickly create interactive dashboards and reports that can be easily shared with others. Qlik is a popular choice for organizations due to its ease of use and its ability to handle large amounts of data. 

5. AWS QuickSights:

AWS QuickSights is a data visualization tool that is part of the Amazon Web Services suite of tools. It allows individuals to connect to a variety of data sources, create interactive dashboards, and share insights with others. AWS QuickSights is a popular choice for organizations that are already using Amazon Web Services and are looking for a data visualization solution that is tightly integrated with their existing infrastructure. 

Conclusion

In conclusion, there are many popular tools that can be used for data visualization. The right tool will depend on the specific needs of an organization and the type of data that they are working with. By choosing a data visualization tool that is right for them, organizations can leverage the value of their data to make informed decisions and drive growth and competitiveness. 

Data visualization tools offer immense potential for any organization. Here at Niograph, we offer data visualization services using the above tools and technologies. Additionally, our flagship BI tool, NioViz, which is based on open-source Apache Superset, is a great tool  for building BI reports and dashboards at scale. Reach out to us today for a free consultation on how data visualization can support your business growth and increase competitiveness, which tools are best suited for you, and seamless implementation of desired tools.

Author

Anish Bapna

Anish is the Founder and Managing Partner at Niograph. He currently leads Tech Consulting and System Implementation Services for Niograph. His expertise lies in architecting large scale Digital Transformation initiatives, with a focus on Cloud Computing, Data management, and Artificial Intelligence. Anish has a broad range of experience in Enterprise Portfolio Rationalization, Enterprise and Solution Architecture, Product Management, and Data Platform Engineering.