Datananas
Datananas is a user-friendly data preparation and analytics platform for non-technical users. It allows anyone to easily combine, clean, analyze and visualize data without coding.
data-preparation
data-cleaning
data-analysis
data-visualization
nocode
Datananas: Easy Data Prep & Analytics
A user-friendly data preparation and analytics platform for non-technical users, combining, cleaning, analyzing, and visualizing data without coding.
What is Datananas?
Datananas is a no-code data preparation and analytics platform designed for non-technical users. It provides an intuitive graphical interface that allows anyone to easily combine data from multiple sources, clean and transform data, conduct analysis, and create interactive dashboards and reports - all without writing any code.
Some key features of Datananas include:
- Data connectors to pull data from various sources like databases, cloud apps, APIs, spreadsheets, etc.
- Visual data cleaning and transformation tools for tasks like filtering, sorting, formatting, duplicate removal, etc.
- Built-in machine learning algorithms for predictive analytics and sentiment analysis.
- Interactive dashboards and reports powered by business intelligence features like filtering, drilling, charts, pivot tables, etc.
- Collaboration features to securely share analytics and data sources within an organization.
- Governance capabilities for access control, usage auditing and compliance.
With an easy-to-use graphical interface and broad end-to-end capabilities spanning data prep, analytics and reporting, Datananas makes it possible for anyone in an organization to work with data and share insights - without IT help or coding expertise.
Datananas Features
Features
- Intuitive drag-and-drop interface
- Pre-built transformations and formulas
- Data profiling and analysis
- Visual data preparation
- Collaboration tools
- REST API and database connectors
- Interactive dashboards and visualizations
- Scheduling and alerts
Pricing
- Subscription-Based
Pros
No coding required
Simplifies data preparation
Powerful analytics capabilities
Collaboration features
Broad connectivity
Great for non-technical users
Cons
Steep learning curve
Limited advanced analytics features
Can be slow with large datasets
Expensive compared to open source options
Official Links
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