About Rasgo
Rasgo is a data management platform from Rasgo Intelligence that provides tools for data engineering and analytics. It combines features like data integration, data quality management, and automated data pipelines so businesses can efficiently utilize their data resources. Rasgo allows users to easily connect various data sources, ensure the integrity of their data, and automate the flow of data into analysis-ready formats. This can significantly reduce the time and effort required for data preparation. Key capabilities: data integration data quality monitoring automated data pipelines collaboration tools workflow automation Best for: data analysts and engineers that need to manage and prepare large datasets for analysis.
Rasgo Details
Rasgo's In-App Market Place
Does Rasgo have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
5
Mini Apps
1. Rasgo Report Builder: Allows users to easily create custom reports and visualizations with advanced data analysis capabilities.
2. Rasgo Data Importer: Enables users to import external data sources into Rasgo for further analysis and integration.
3. Rasgo Predictive Modeling: Provides tools for building predictive models and identifying trends in data sets.
4. Rasgo Data Visualization Toolkit: Offers a variety of visualization options to help users better understand and communicate their data findings.
5. Rasgo Workflow Automation: Streamlines repetitive tasks and processes by automating data analysis and reporting workflows.
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (CHF), CNY (¥), SEK (kr), INR (₹), BRL (R$), KRW (₩), RUB (₽), MXN (Mex$), SGD (S$)
Pros & Cons
- Able to analyze large datasets quickly and efficiently
- Offers a wide range of statistical tools and functions for in-depth analysis
- Interactive visualizations help in understanding data insights easily
- Can handle real-time data processing for faster decision-making
- User-friendly interface makes it easy for non-technical users to navigate and utilize data analysis features
- Limited customization options for data visualizations
- Steeper learning curve compared to other data analysis tools
- Lack of integration with popular data sources such as Google Analytics
- Limited number of data connectors available
- Higher pricing compared to similar tools on the market