Swivel
Swivel is a data analysis and visualization software that allows users to easily explore, analyze, and visualize data. It has drag-and-drop functionality to create charts, graphs, and other visuals to find insights from data.
Swivel: Data Analysis & Visualization Software
Swivel is a data analysis and visualization software that allows users to easily explore, analyze, and visualize data. It has drag-and-drop functionality to create charts, graphs, and other visuals to find insights from data.
What is Swivel?
Swivel is a powerful yet easy-to-use data analysis and visualization software. It enables users of all technical abilities to explore, analyze and visualize data to uncover meaningful insights.
Key features of Swivel include:
- Intuitive drag-and-drop interface to create a variety of charts, graphs, maps and other visualizations from data
- Robust analytics capabilities including pivot tables, filtering, sorting, formulas, and statistical analysis
- Collaboration tools to share data, visualizations and insights across teams and organizations
- Data connectivity to a wide variety of sources including SQL, NoSQL, cloud apps, flat files, etc.
- Interactive visualizations that allow drilling down into data for deeper analysis
- Automated insight recommendations based on statistical analysis of data
- Customizable dashboards to track KPIs and metrics
- Scheduled reports, alerting and automated data refreshes
- Role-based permissions and governance of data and analytics content
With its easy-to-use and self-service oriented approach, Swivel makes it easy for anyone to conduct in-depth analysis on data and make data-driven decisions, without needing any coding or technical skills.
Swivel Features
Features
- Drag-and-drop interface to easily create charts, graphs and other visualizations
- Connects to a variety of data sources like SQL, Salesforce, Google Analytics, etc.
- Has pre-built templates and themes for quick visualizations
- Allows collaboration by sharing visualizations and insights
- Offers statistical analysis tools like regression, clustering, etc.
- Provides interactive dashboards to visualize data
- Has data preparation tools for cleaning, transforming and blending data
Pricing
- Subscription-Based
Pros
Intuitive and easy to use
Powerful data visualization capabilities
Connects to many data sources
Collaboration features
Interactive dashboards
Many pre-built templates and themes
Cons
Steep learning curve for advanced analysis
Limited customization for power users
Requires purchase of additional modules for some features
Can be slow with very large datasets
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