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Rose.ai logo

Rose.ai

Rose.ai is a data platform that allows users to find, visualize, and share economic and financial data using AI-powered search and analysis.

Price: Premium

Categories:AI Data Analysis ToolsAI Data Mining ToolsAI Data Visualization ToolsAI Investing ToolsAI Market Research Tools
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Description
Rose.ai provides a comprehensive environment for accessing a vast array of global economic, financial, and alternative datasets. It uses AI to enable users to intuitively search for data using natural language, visualize trends, and perform sophisticated analyses without needing advanced coding skills. The platform is designed for financial analysts, economists, researchers, investors, and data journalists who need to quickly access and interpret complex macroeconomic and market data. Rose.ai distinguishes itself by combining an extensive data library with an AI-driven interface that simplifies data discovery and visualization, making it easier to identify insights and support data-driven decision-making.

Rose.ai screenshot 1
How to Use
1.Sign up for an account on Rose.ai.
2.Use the natural language search bar to find specific datasets (e.g., "US GDP growth," "inflation rates in Europe").
3.Select the desired data series and visualize it using built-in charting tools.
4.Apply analytical functions (e.g., regressions, correlations) directly within the platform.
5.Share your data visualizations or export the raw data for further use.
Use Cases
Economic forecastingFinancial market analysisInvestment researchPolicy analysisAcademic researchData journalismBusiness intelligence
Pros & Cons

Pros

  • AI-powered natural language search for data discovery.
  • Access to a vast library of economic and financial datasets.
  • Powerful visualization and analytical tools built-in.
  • Simplifies complex data analysis for non-coders.
  • Facilitates data sharing and collaboration.

Cons

  • Can be expensive, primarily targeting professionals and institutions.
  • The sheer volume of data might be overwhelming for new users.
  • Accuracy and granularity depend on the underlying data sources.
FAQs

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