Rasgo
3.81
0
Rasgo revolutionizes self-service analytics with AI-powered insights, secure data handling, and natural language queries.
What is Rasgo?
Rasgo is a generative AI tool developed to revolutionize self-service analytics by empowering users to make data-driven decisions efficiently. It utilizes natural language queries, data visualization, and automated intelligent insights, enabled by GPT-4 technology. Rasgo ensures data security by processing Enterprise Data Warehouse (EDW) data securely without moving or copying any source data, providing tailored insights, and offering a natural language interface for effective AI analytics interaction.
Who created Rasgo?
Rasgo was founded in 2020 by a team of data community professionals who aimed to enhance data accessibility and trust within organizations. The company's mission is to empower users with valuable and trusted data insights efficiently. It was launched on May 25, 2023, with a focus on providing generative AI tools for self-service analytics. Rasgo has raised over $25 million in funding, emphasizing a commitment to transforming enterprise analytics and enhancing transparency in AI interactions .
What is Rasgo used for?
- Revolutionizing self-service analytics
- Providing users with the ability to make data-driven decisions more efficiently
- Natural language query
- Data visualization
- Automated intelligent insights
- Empowering users with valuable and trusted insights from data faster
- Utilizing GPT-4 for autonomous agents to deliver insights directly from Enterprise Data Warehouse (EDW)
- Prioritizing data security by securely utilizing GPT to process EDW data without moving or copying source data
- Enabling proactive decision-making by continuously seeking valuable insights
- Creating lasting intellectual value within an organization through generative insights
Who is Rasgo for?
- Data Analysts
- Business analysts
- Data scientists
- Executives
How to use Rasgo?
To use Rasgo, follow these steps:
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Access the Platform: Log in to the Rasgo platform to start utilizing its features.
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Ask Questions: Use natural language to inquire about data insights directly from your Enterprise Data Warehouse (EDW).
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Visualize Data: View data visually within the platform for easier comprehension and analysis.
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Receive Intelligent Insights: Benefit from automated intelligent insights based on your data goals, helping you make informed decisions.
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Utilize Autonomous Agents: Rasgo creates autonomous GPT-4-enabled agents that deliver tailored insights from your data without manual analysis.
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Ensure Data Security: Your raw data remains in your EDW, with Rasgo processing it securely using GPT without moving or copying any source data.
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Track Interactions: Every AI-enabled interaction is logged in your EDW and transparently discoverable within the application.
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Generate Lasting Value: Rasgo aims to provide generative insights that create enduring intellectual value within your organization.
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Enable Proactive Decision-Making: Benefit from Rasgo's self-learning capabilities to guide itself through your data environment, optimizing for valuable insights.
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Look Towards the Future: Rasgo envisions generating strategic analytical products from a variety of data sources for enhanced decision-making.
By following these steps, you can leverage Rasgo's advanced capabilities in self-service analytics and data-driven decision-making.
Pros
- Rasgo aims to revolutionize self-service analytics by providing users with the ability to make data-driven decisions more efficiently
- It offers features such as natural language query, data visualization, and automated intelligent insights
- Rasgo creates autonomous agents that deliver insights directly from the Enterprise Data Warehouse (EDW), eliminating the need for users to manually analyze data
- It reads and understands data, providing tailored insights and rich business context, including visualizations
- Rasgo prioritizes data security by securely utilizing GPT to process EDW data without moving or copying any source data
- It aims to provide generative insights that create lasting intellectual value within an organization
- Rasgo enables proactive decision-making by utilizing its specialized knowledge of the enterprise and continually seeking valuable insights
- It envisions a connected future where it can generate strategic analytical products based on a wide range of data sources
- Rasgo highlights GPT-4's capabilities in complex reasoning tasks, self-learning, and self-teaching, allowing for a collaborative and perpetually learning AI system
- It strives to transform enterprise analytics and offers a demo to showcase its potential in self-service analytics powered by GPT
Cons
- Even with the centralization of data, organizations still struggle to capture complete trust and democratization over insights from data, leading to poor decisions made on inconsistent data
- Data team spends significant time centralizing data in the cloud while the business reports on inconsistent metrics calculated in siloed spreadsheets and BI tools
- There might be issues with trust and accessibility of insights from data when using Rasgo
- Rasgo may lack certain features or capabilities compared to other AI tools in the industry
- It is important to consider if Rasgo justifies its value for the price charged
- The need for change in making data-driven decisions faster with complete trust and accessibility
Rasgo FAQs
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What is Rasgo?
- Rasgo is a generative AI tool that aims to revolutionize self-service analytics by providing users with the ability to make data-driven decisions more efficiently.
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How does Rasgo utilize GPT-4?
- Rasgo utilizes GPT-4 by creating autonomous agents that deliver insights directly from the Enterprise Data Warehouse (EDW), reading and understanding data to provide tailored insights and rich business context.
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How does Rasgo ensure data security?
- Every AI-enabled interaction is logged in the EDW and can be tracked within the application, ensuring transparency and trust. Raw data never leaves the EDW, and GPT processes data without moving or copying any source data.
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What are generative insights according to Rasgo?
- Rasgo believes that generative insights should create lasting intellectual value within an organization, empowering teams to make smarter, data-informed decisions while reducing the time spent on creating knowledge products by 80%.
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What is Rasgo's vision for the future?
- Rasgo envisions a connected future where it can generate strategic analytical products based on a wide range of data sources, utilizing GPT-4's capabilities in complex reasoning tasks and perpetual learning.
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What is the mission of Rasgo?
- The mission of Rasgo is to empower valuable and trusted insights from data in less than 5 minutes, driven by a commitment to trust and data accessibility.
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How does Rasgo differentiate itself in the analytics market?
- Rasgo differentiates itself by offering natural language interfaces, autonomous agents for data analysis, and prioritizing trust, security, and lasting intellectual value in insights.
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How does Rasgo support collaboration between humans and AI?
- Rasgo enables human-AI collaboration via GPT-powered AI agents that excel in complex reasoning tasks, self-learning, and self-teaching, creating a perpetual learning machine.
Get started with Rasgo
Rasgo reviews
Hassan Ali
November 24, 2024
What do you like most about using Rasgo?
I appreciate the way it integrates with our existing data systems without compromising security.
What do you dislike most about using Rasgo?
The dashboard can be overwhelming with too many options displayed at once.
What problems does Rasgo help you solve, and how does this benefit you?
It allows for efficient data analysis and reporting, which is critical for our business intelligence efforts.
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Fatima Nasri
December 5, 2024
What do you like most about using Rasgo?
The ability to get insights from data without heavy technical knowledge is a big advantage.
What do you dislike most about using Rasgo?
The visualizations could be improved for better clarity and understanding.
What problems does Rasgo help you solve, and how does this benefit you?
It allows me to work with data more effectively, helping my business make informed decisions.
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Nikolai Sokolov
January 5, 2025
What do you like most about using Rasgo?
The security of data processing is exceptional, and I feel confident using it for sensitive information.
What do you dislike most about using Rasgo?
The setup process is quite complicated and could use more guidance.
What problems does Rasgo help you solve, and how does this benefit you?
It helps me to quickly access and analyze data without compromising on security, which is crucial in my field.
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