cleverdash.ai is a platform that helps transform raw data into meaningful insights through AI-assisted dashboard creation.
Features
AI-driven dashboard creation
Enables users to create dashboards using AI to simplify and accelerate the process of transforming raw data into visual insights.
Live data source connection
Allows users to connect to live data sources, ensuring that dashboards always reflect the most current information.
Dashboard sharing
Facilitates collaboration by enabling users to share their dashboards with team members to enhance collective decision-making.
Dashboard templates
Offers reusable dashboard templates to quickly create and customize new dashboards without starting from scratch for every new project.
Dashboard Creations
Allows users to create up to 100 active dashboards with public sharing options, enabling better data storytelling and visualization.
Data Upload and Integration
Supports uploading up to 50 GB of data with CSV or XLSX files and includes the ability to integrate other data sources like databases and APIs for comprehensive analysis (feature in development).
Advanced Chart Types
Includes various chart types like scatter and heatmap charts for more sophisticated data representation beyond basic charts.
Instant Dashboards
Generate insights from CSVs, databases, and APIs in seconds, allowing users to quickly derive value from their data.
Effortless Customization
Create tailored dashboards without facing technical barriers, enabling users to design the dashboards that meet their specific needs easily.
Seamless Collaboration
Share data insights securely with your team, fostering collaboration and collective decision-making.
Data Storytelling
Move beyond numbers with interactive, narrative-driven insights to present data compellingly.
Rapid Dashboard Generation
Transforms raw CSV files into interactive dashboards quickly, making complex data easily understandable.
Human-AI Collaboration
Leverages a combination of human intuition and AI analytics to create effective data visualizations.
CRISP-DM Principles
Utilizes CRISP-DM principles to systematically process and visualize data for deeper insights.
AI-driven analytics
Utilizes AI, including Large Language Models, to generate insights, patterns, or recommendations by processing limited data shared with third-party AI providers.
AI and LLM Collaboration
Incorporates AI and Large Language Models from third-party providers such as OpenAI for data analysis and content generation. This functionality enables automated data insights, pattern recognition, and text response generation.
Data Encryption and Security
Uses industry-standard security practices including HTTPS for data transmission and AES encryption for sensitive data like passwords, ensuring data protection during both transfer and storage.
Limited Data Sharing with AI Providers
Shares minimal necessary information with AI providers, like anonymized or sampled data points, to enable AI-powered functionalities while protecting full datasets and personal data.
AWS S3 Data Storage
Stores data on Amazon Web Services S3 servers in the Stockholm region, leveraging AWS's security certifications like ISO 27001 to safeguard user information.
Flexible Non-Linear Workflow
Allows users to navigate between data processing stages such as data understanding, cleaning, and modeling at their own pace, adapting to unique data requirements.
Deep Data Understanding
Rapidly parses and analyzes uploaded CSV data, revealing key details such as column types and missing values to build a strong foundation for further analysis.
AI-Powered Data Cleaning
Leverages AI to recommend optimal data cleaning strategies, handling missing or inconsistent values using statistical methods for a reliable dataset.
Key Columns Prioritization
Allows users to manually or automatically designate important columns, aligning with CRISP-DM modeling phase for actionable insights.
AI-Suggested Insight Generation
Enables adding custom insight prompts or AI suggestions to transform data into strategic narratives, aiding in decision-making.
Interactive Dashboard Deployment
Provides a final review phase for adjustments before deploying dashboards as fully interactive tools for data-driven decision making.
Real-time data updates
Provides the latest information as soon as it's available, ensuring businesses are always working with current data.
Customization and flexibility
Allows users to tailor the dashboard interface to focus on metrics that matter most to their specific business goals.
Enhanced data exploration
Enables users to utilize drill-downs, filters, and dynamic charts, allowing exploration of data from multiple perspectives.
User-friendly experience
Designs interfaces that cater to both technical and non-technical users, ensuring accessibility and ease of use.
Integration of diverse data sources
Consolidates information from various platforms to provide a unified and comprehensive view for analysis.
Leveraging automation
Employs tools that automatically update and maintain dashboard accuracy.
6-Step Human-AI Journey
Guides you through a structured process from naming your project, uploading CSV files, cleaning data, identifying key columns, adding insights, to reviewing & submitting your dashboard.
AI Suggestions for Cleaning
Offers expert recommendations for cleaning your data, allowing for refinement based on expertise, by clicking 'Get AI Suggestion'.
Column Classification & Modification
Classify key columns and add modifications such as text removal or mathematical calculations, with AI suggesting optimal setups.
Insight Prompt Suggestions
Allows adding of insight prompts to guide dashboard display, with AI generating suggestions to streamline the process.
Interactive AI Collaboration
Engages an AI collaboration engine for stages like Cleaning Strategy, Column Importance, and Insights to enhance efficiency while allowing human expertise in decisions.
Interactive Dashboards
Transforms raw CSV data into interactive dashboards quickly and efficiently, allowing users to visualize data patterns effortlessly.
Adaptive Workflows
Allows continuous refinement and evolution of dashboards based on user feedback, enhancing the accuracy and relevance of insights for businesses.
Democratized Data Analysis
Bridges the expertise gap for small and medium enterprises by making complex data analysis accessible without extensive technical knowledge.
Advanced Customization
Offers tools for unprecedented levels of personalization, turning static visualizations into dynamic, tailored narratives.
AI-powered automation
Utilizes artificial intelligence for automatic data transformation into dashboards, reducing the need for manual setup and simplifying the data visualization process.
User-friendly design
Features an intuitive interface that allows even non-technical users to easily create and customize dashboards, enhancing accessibility and usability.