Data+ Research
Data+ Research is a data analysis and visualization software that allows users to connect to various data sources, clean and transform data, and create interactive dashboards and reports. It has a user-friendly drag-and-drop interface for building workflows.
Data+ Research: Powerful Data Analysis & Visualization
Connect to various data sources, clean and transform data, and create interactive dashboards and reports with a user-friendly drag-and-drop interface.
What is Data+ Research?
Data+ Research is a business intelligence and analytics platform designed for data discovery, visualization, and dashboarding. It enables users to connect to a wide variety of data sources including SQL databases, cloud apps, and files, ingest and combine data, cleanse and transform data, and perform analysis.
Key features of Data+ Research include:
- Intuitive drag-and-drop interface for building workflows to prepare and analyze data without coding
- Hundreds of data connectors to integrate data from multiple sources
- Tools for shaping, cleansing, and transforming data to prepare it for analysis
- Visual data exploration with interactive dashboards, charts, maps, and graphs
- Collaboration capabilities for sharing insights and dashboards across the organization
- Advanced calculation engine for applying complex logic and calculations on data
- Support for scheduling and distributing automatic reports and dashboards
- Role-based permissions and governance for managing access and data security
Data+ Research enables a self-service model for data analysis while also providing IT control and management over the environment. With its flexibility and ease-of-use, it's well-suited for a variety data skill levels to uncover valuable insights for better and faster decision making.
Data+ Research Features
Features
- Connect to various data sources like SQL, NoSQL, SaaS apps, etc
- Intuitive drag-and-drop interface for building data workflows
- Data cleaning and transformation tools
- Interactive dashboards and visualizations
- Collaboration features like sharing dashboards and annotations
- AI-powered analytics and insights
Pricing
- Subscription-Based
- Pay-As-You-Go
Pros
User-friendly interface
Powerful data preparation capabilities
Great visualization and dashboarding
Scales to large data volumes
Collaboration features
Broad data source connectivity
Cons
Can be expensive for larger deployments
Limited customization for power users
Steep learning curve for non-technical users
Official Links
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