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Data Analysis Software with Drag & Drop

Last updated: December 2024

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Why is drag & drop important for data analysis software users?

Based on GetApp's analysis of 49 verified reviews collected between July, 2021 and August, 2024

Drag & drop simplifies report creation, customization, and visualization without coding. It enhances user experience by making data manipulation intuitive, saving time, and catering to both technical and non-technical users. Of the 49 reviewers who rated drag & drop, 69% rated this feature as important or highly important.

Key features of data analysis software based on insights from 3050 verified reviews

  • Reporting/Analytics: Reviewers highlight the ability to track key metrics, generate actionable insights, and make data-driven decisions through customizable reports and advanced analytics. 93% of reviewers rated this feature as important or highly important.
  • Data Visualization: Users appreciate the intuitive and interactive visualizations that simplify complex datasets, enabling better insights and more effective data communication. 91% of reviewers rated this feature as important or highly important.
  • Data Import/Export: Reviewers value the flexibility and ease of importing and exporting data from various sources, enhancing integration and data management capabilities. 89% of reviewers rated this feature as important or highly important.
  • Dashboard: Users like the centralized, customizable views that provide quick access to key metrics, facilitating better monitoring and informed decision-making. 87% of reviewers rated this feature as important or highly important.
  • Data Connectors: Reviewers highlight the integration with various data sources, improving data collection and enabling comprehensive analysis across multiple platforms. 87% of reviewers rated this feature as important or highly important.
  • Data Discovery: Users emphasize the ability to uncover hidden trends and patterns, providing deeper insights and supporting informed decision-making and strategic planning. 85% of reviewers rated this feature as important or highly important.
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