AI Data Analytics Tools

Top-notch AI tools streamlining data analysis for insightful decision-making and efficient workflows.

Are you drowning in data? Trust me, I've been there. In today's data-driven world, deciphering heaps of information can feel like trying to locate a needle in a haystack.

Enter AI tools for data analytics. These game-changers can sift through colossal datasets, highlight trends, and offer actionable insights faster than any human ever could.

I remember my first encounter with AI-powered analytics. It was like turning on a light in a dimly lit room. Suddenly, those sprawling spreadsheets and confusing charts began to make sense. If you're ready to simplify your data journey, stick around.

From predictive analytics to automated reports, these tools promise not just clarity, but efficiency. Let’s explore the best AI tools out there that can revolutionize your data game.

The best AI Data Analytics Tools

  1. 301. Vtiger CRM for advanced sales performance analysis

  2. 302. H2O.ai for fraud detection and analytics

  3. 303. Quills AI for generate data insights reports

  4. 304. Venturefy for real-time corporate relationship analysis

  5. 305. Altermind for ai-powered data insights

  6. 306. CommodityAI for optimizing supply chain efficiency

  7. 307. Typefrost for transforming data into actionable insights

  8. 308. Simplescraper ScrapetoAI for analyze web data for actionable insights.

  9. 309. Velvet for real-time data alerts & visualization

  10. 310. Neuralmind for enable natural language data queries.

  11. 311. BlazeSQL for automatically generating sql queries

  12. 312. Shimoku for sales forecast prediction

  13. 313. QueryCraft for seamless data analysis automation

  14. 314. Gretel for data analytics enhancement

  15. 315. Hotjar for facilitates swift data-driven decisions

839 Listings in AI Data Analytics Tools Available

301 . Vtiger CRM

Best for advanced sales performance analysis

Vtiger Calculus GPT, specifically the Calculus AI, is an analytics and business intelligence tool integrated within the Vtiger CRM platform. It leverages machine learning algorithms to process sales data, identify patterns and trends, and generate predictive insights to aid in making informed business decisions. This tool helps sales teams in tracking and predicting key performance metrics such as sales forecasts, deal values, win rates, and facilitates customer engagement and retention through features like lead and contact management, sales funnels management, and process design.

Calculus AI can process and analyze sales-related data, including metrics like deal values, sales forecasts, win rates, as well as data related to customer engagement and retention. By identifying trends and patterns in the data, it generates predictive insights that help businesses make informed decisions.

Businesses can expect improved sales forecasting, precise predictions of deal values and win rates, increased customer engagement and retention, more efficient sales processes, and overall enhanced business performance and revenue growth by using Calculus AI for sales and data analytics.

Vtiger provides options to integrate Calculus AI with 500+ apps, allowing for seamless compatibility with existing ecosystems. Moreover, Calculus AI can work alongside other AI tools within the Vtiger platform such as Chatbot, Prompt Builder, and Bot Management tools, offering businesses various options for driving efficiency and productivity across operations.

Pricing

Paid plans start at $US$0/month and include:

  • Contact Management
  • Idle Alerts
  • Contact Engagement
  • Emails & Phone Integration
  • Document Engagement
  • Zoom & Google Meet
Pros
  • Sales performance analytics
  • Customer engagement tracking
  • Maximizes revenue growth
  • Sales funnel design
  • Document management
  • Appointment scheduling
  • Email templates
  • Pipeline management
  • Internal collaboration tools
  • Calendar management
  • Email tools
  • Video conferencing integration
  • Helpdesk automation
  • Marketing automation features
  • Project management
Cons
  • Functionality reliant on user feedback
  • Email analysis could infringe privacy
  • Lacks comprehensive documentation
  • No standalone version
  • Unclear tool customization scope
  • Limited integration (500 apps)
  • Dependent on historical data
  • Unclear specific functionality
  • Limited to Vtiger CRM platform

302 . H2O.ai

Best for fraud detection and analytics

H2O.ai is an open-source software developed by the company H2O.ai for data analysis. It allows users to fit thousands of potential models to uncover patterns in data. H2O has been recognized as a strong performer in predictive analytics and machine learning solutions. The platform provides a user-friendly interface, such as H2O LLM Studio, for fine-tuning large language models and quickly developing AI models and applications, empowering businesses to leverage AI effectively. H2O.ai is utilized by various industries like financial services, telecom, and healthcare to enhance operations and provide better outcomes for customers and communities. Its versatile capabilities allow for the development of applications related to fraud detection, recommendation engines, and more.

Pros
  • Supercharge human productivity
  • Multi-modal Document AI with enterprise scale and security
  • Cost control and flexibility
  • Fully scalable with Kubernetes
  • Visionary in Gartner Magic Quadrant
  • Leader in Forrester’s Wave report for the Computer Vision Tools Landscape
  • Converging Predictive AI with Generative AI
  • Purpose-built AI for various use cases
  • Can solve a broad spectrum of natural language use cases
  • Used by companies to build production-ready, scalable AI-powered applications
  • Seamlessly integrate text, image, and code generation capabilities into projects
  • Ownership of data and prompts
  • Flexibility in deployment options
  • Scalability with Kubernetes
  • Strong security measures (SOC2 Type 2 +HIPAA/HITECH)
Cons
  • No specific cons mentioned in the document.
  • Possible lack of advanced functionalities found in competitors' AI tools
  • Dependency on open-source models for certain functionalities
  • Possible issues with integration or compatibility with other tools or systems
  • Potential limitations in scalability and flexibility
  • May not fully justify value for money based on pricing and available features
  • May lack certain features compared to other AI tools in terms of customization and performance
  • Limited control over pricing
  • Token-based pricing leading to unbounded costs
  • No control or ownership over models
  • Reliance on third-party provider

303 . Quills AI

Best for generate data insights reports

Quills AI is an artificial intelligence tool designed for data analysis and visualization. It simplifies the process of data interaction through natural language queries, automatically generating SQL queries for efficient analysis. The tool caters to various industries and roles, integrates with chatbots for conversational data exploration, and allows for data visualization and export in different formats, enhancing reporting and insights sharing.

If you would like to delve into specific aspects of Quills AI or have more questions, feel free to let me know!

Pros
  • Analyzes various data sources
  • Visualizes data effectively
  • Natural language queries
  • Supports plain English interactions
  • Generates SQL queries automatically
  • Works across various industries
  • Integrates with different chatbots
  • Exports data in various formats
  • Creates tailored data grids
  • Personalized user prompts
  • Facilitates collaborative analysis
  • Integrated with Slack
  • Connects to diverse databases
  • Imports data from different files
  • Simplified data extraction
Cons
  • Limited to English language
  • Dependent on Slack integration
  • No mentioned app integrations
  • Difficult for non-English speakers
  • Unspecified technical support
  • Dependent on database/file sources
  • Potential security concerns

304 . Venturefy

Best for real-time corporate relationship analysis

Venturefy is a data analytics tool that focuses on enhancing business transparency and fostering trust by providing insights into verified corporate relationships through AI technology. It serves as a platform for exploring corporate networks, uncovering hidden relationships, and gaining real-time insights effortlessly. Venturefy harnesses artificial intelligence and user-generated content to build a robust database of verified corporate relationships. The platform offers features such as verified relationship listings, AI-driven relationship mapping, relationship verification statuses, source navigation feature, and business relationship monitoring. It is used by leading companies to research corporate connectivity and analyze relationship dynamics within corporate networks.

305 . Altermind

Best for ai-powered data insights

AlterMind is a no-code AI Solution Builder that allows users to create custom AI models with their data to perform specific tasks. Users can integrate these tailor-made AI models into their websites or applications to simplify domain-specific tasks, customer interaction, and data interpretation. The platform offers features like text summarization, user engagement boosting, automatic social media management, and supports multiple languages. AlterMind ensures data security through encryption mechanisms for data at rest and in transit.

For beginners and AI experts alike, AlterMind is user-friendly with an intuitive interface that simplifies the process of creating AI models. Users can fully customize their AI by loading it with necessary information, training it on documents, setting up specific tasks, and adjusting the interface to match their branding. Data security is a top priority for AlterMind, with continuous monitoring to enhance reliability. The platform offers a 7-day free trial across all plans and supports up to 85 languages for user responses. The amount of information that can be loaded onto an AlterMind AI depends on the chosen subscription plan, varying from 1,000,000 to 3,000,000 characters.

Pricing

Paid plans start at $12/month and include:

  • 7-day free trial
  • AI entities limit
  • monthly messages
  • information load capacity
  • text summarization
  • customer service handling
Pros
  • Web integration
  • Domain-specific task handling
  • No Code
  • Free trial
  • Beta phase benefits
  • Automatic social media management
  • Embedded chatbots
  • Detailed pricing plans
  • ChatGPT resemblance
  • Text summarization
  • User Engagement boosting
  • Interface customization
  • Multiple languages support
  • Stringent Data Security
Cons
  • No mobile app available
  • Limited languages supported (85)
  • Strict data restrictions (characters limit)
  • Doesn't support API calls
  • No multi-chatbot management features
  • Limited customer support (Prioritized for business)
  • Plain interface design features
  • No integration with CRM platforms

306 . CommodityAI

Best for optimizing supply chain efficiency

CommodityAI is an AI-enhanced tool specifically designed to enhance commodity trading and shipment processes. It offers a range of features tailored to the commodities industry, including end-to-end shipment management automation, advanced tracking capabilities, AI-driven performance analytics, efficient document management through OCR technology, streamlined communication and collaboration among stakeholders, and integration with existing ERP systems.

CommodityAI aids in improving operational efficiency by automating shipment processes, providing insights for continuous optimization, and offering tools for streamlined communication and collaboration among stakeholders. It supports digitization of documents, secure sharing and storage, digital signing for approval processes, and seamless integration with ERP systems to enhance functionality and data integration capabilities.

Overall, CommodityAI aims to reduce operating costs, increase operational efficiency, enhance productivity, and facilitate proactive management and response in the commodities industry.

Pros
  • End-to-End Shipment Handling
  • Automated Tracking
  • Estimated arrival times
  • Real-time updates
  • Performance Reports
  • Improvement Identification
  • Document Digitization
  • OCR technology
  • Data validation
  • Automated Doc categorization
  • Reduced manual labor
  • Instant communication
  • Document sharing
  • Encrypted Storage
Cons
  • No customization for dashboards
  • Limited OCR capabilities
  • Inaccurate arrival times
  • Lacks third-party software integration
  • No option to undo actions
  • Limited document storage
  • Slow processing speed

307 . Typefrost

Best for transforming data into actionable insights

Typefrost is a personal knowledge assistant and AI tool categorized under "Data Analytics Tools." It functions as a data integration platform where users can amalgamate information from various sources such as Google Drive, web pages, and YouTube to create a customized knowledge base. Typefrost utilizes advanced natural language processing techniques, including models like GPT-4, to enable users to interact with their data effectively. The tool eliminates the need for traditional document management by introducing AI-driven conversations, allowing users to communicate with their knowledge base and receive instant answers. Additionally, Typefrost prioritizes data privacy, offers an array of features such as data deletion option, integrates with popular tools like GitHub and Confluence, and ensures GDPR compliance and SOC2 security measures.

Pros
  • Data integration functionality
  • Connects with Google Drive
  • Upload from webpages
  • Upload from YouTube
  • Advanced querying capability
  • Utilizes GPT-4 language model
  • Prioritizes data privacy
  • Users control data
  • Data deletion option
  • Secured with SOC2
  • Eliminates document management
  • Chat with knowledge base
  • Instant answer generation
  • Provides actionable insights
Cons
  • Doesn't support live code execution
  • Limited data visualisation options
  • Limited simultaneous integrations
  • No audio file processing
  • Restricted chatbot capabilities
  • No Mobile Application available
  • Inefficient large dataset handling
  • No version control
  • Limited data visualization options
  • Lacks offline functionality
  • No real-time collaboration features

308 . Simplescraper ScrapetoAI

Best for analyze web data for actionable insights.
ScrapetoAI is an intuitive web scraping tool designed to facilitate data extraction from websites with ease. Tailored for users without a coding background, it enables individuals to visually interact with website elements to define the specific data they wish to capture. ScrapetoAI enhances the web scraping experience by incorporating features like automatic pagination handling and task scheduling, which automate the scraping process. Additionally, it allows users to export collected data in various formats, making it versatile for different analytical needs. By simplifying the often complex web scraping process, ScrapetoAI empowers a broader audience to take advantage of web data for their analytical projects.
Pros
  • Actionable data, delivered anywhere
  • Automate with ease
  • APIs, just like that
  • Pull Insights from website data using AI
  • Simply powerful: premium data-extraction capabilities to deliver data exactly as you need it
  • Proxy rotation, no concurrency limits, reCaptcha solving, auto-retries and more
  • Powered by robots; praised by humans
  • Enhance with Simplescraper AI
  • As well as proxy rotation, no concurrency limits, reCaptcha solving, auto-retries and more
  • Web scraping made simple
  • Extract data from any website in seconds
  • No configuration, no parsing, no code. Just all of the data with none of the fuss — we get it.
  • Get structured data fast
Cons
  • One possible con of using Simplescraper is the lack of information on specific cons or limitations in the provided documents.
  • No specific cons of using Simplescraper were found in the provided document.

309 . Velvet

Best for real-time data alerts & visualization

Velvet is a data analytics tool designed for high-growth startups to support product and engineering teams in performing complex SQL queries, parsing large data sets using AI, and collaborating through visual representations of data such as tables and graphs. It facilitates real-time data analysis and storage, allows ingestion of data from various sources, and enables the creation of API endpoints for queries. Velvet's AI sidekick assists in executing complex queries and producing visualizations to track data movement over time. Overall, Velvet transforms all team members into data engineers by empowering them to query diverse data sources, utilize real-time data for feature development, and optimize their data workflow efficiently.

Pros
  • Transforms team into data engineers
  • Enables data query from disparate sources
  • Offers real-time feature shipping
  • Allows complex SQL writing
  • Facilitates large data parsing
  • Turns queries into visual data
  • Data stored as query API endpoints
  • Supports real-time data for product development
  • Permits ingestion of any data source
  • Allows access to queries as API endpoints
  • Tracks data movement over time
  • Supports collaboration of data engineering
  • Designed specifically for high-growth startups
  • Unlimited data storage
  • Provides an analytics database per workspace
Cons
  • No offline mode mentioned
  • No explicit data security measures
  • Lack of data backup mechanisms
  • Could favor tech-savvy users
  • Possible user overwhelm with unlimited data
  • Real-time data might affect performance
  • No explicit support for non-SQL languages
  • Limited to high-growth startups

310 . Neuralmind

Best for enable natural language data queries.

Neuralmind is an AI Copilot embed that seamlessly integrates into software or websites to provide customers with product analytics. It allows users to define important insights to be displayed on a dashboard and enables natural language queries for data analysis. Neuralmind ensures data security by not sharing user data with third-party models and only using read queries or a data warehouse for analytics without modifying the database. The AI model is highly scalable and capable of handling inquiries from multiple sources simultaneously. Additionally, Neuralmind offers an early access program for users to try the product for free without the need for a credit card.

Pros
  • AI Copilot embed seamlessly integrates into software or website
  • Provides product analytics for software
  • Allows defining important insights for user dashboard
  • Enables users to query their own data in natural language
  • Emphasizes protection of user data
  • Executes read queries or uses data warehouse for analytics without altering user database
  • Exercises rigorous controls over user data for security
  • Engineered to be exceptionally scalable
  • Capable of managing inquiries from numerous sources simultaneously
  • Does not have strict limits on the number of responses it can provide
  • Offers early access program for trying the product for free
  • AI Copilot provides Product analytics for Software
  • Enables defining important insights for user dashboards
  • Supports natural language data querying for users
  • Prioritizes customer data security
Cons
  • The tool's scalability claims should be verified in real-world scenarios to ensure seamless performance as user numbers grow.
  • Neuralmind may not offer extensive training resources or user guides for maximizing the tool's effectiveness.
  • Limited information on data visualization tools and options for presenting analytics in different formats.
  • The platform may lack advanced AI functionalities compared to other industry competitors, potentially limiting its analytical capabilities.
  • No explicit mention of a mobile application for on-the-go access to analytics, which could be a drawback for users requiring mobile functionality.
  • Limited details on customization options for tailoring the AI Copilot embed to specific business needs.
  • Lack of information on specific customer support options or service level agreements (SLAs) for users needing assistance.
  • The pricing structure may not be transparent or competitive compared to other AI tools in the industry.
  • Neuralmind does not clearly outline all features of its plans, leaving uncertainty about the full functionality and value of the tool.
  • Absence of insights on integration capabilities with other software systems, potentially hindering seamless implementation.

311 . BlazeSQL

Best for automatically generating sql queries

Blaze SQL AI is an innovative AI Data Analytics chatbot and AI SQL generator that simplifies the data analysis process. It functions similarly to ChatGPT for SQL databases, offering a high level of convenience and efficiency. Users can interact with BlazeSQL AI in natural language to state their requirements, without needing extensive knowledge of SQL syntax or database structure. By connecting BlazeSQL to a SQL database on Windows or Mac, users can benefit from a private, local, and secure data analysis experience. The AI learns the intricacies of the user's database, enabling it to generate SQL queries, execute them, and produce visualizations like graphs and dashboards rapidly. BlazeSQL AI significantly reduces the time spent on data tasks, offering up to an 85% reduction in workload. It has been adopted by innovative teams globally, enabling the creation of complex reports and dashboards without the need for manual code writing, thus accelerating data-related tasks and decision-making processes.

312 . Shimoku

Best for sales forecast prediction

Shimoku is an analytics and artificial intelligence Software as a Service (SaaS) solution that enables customers to swiftly build custom data products and provides predictive analytics products for various factors like churn, user sessions, future purchases, cohort behavior, anomalies, and demand planning. It targets roles such as CIOs, Heads of Sales, and Python Developers, catering to industries like eCommerce, SaaS businesses, Banking & Insurance, and the Data & AI sector. Shimoku offers applications like 'Revenue Copilot' for optimizing marketing and sales performance, 'Python AI Apps' for creating data-driven products, and an 'AI App Factory' for customizable solutions. The platform supports machine learning for non-experts, promotes transparency in its AI processes to enhance user understanding, and facilitates agile data-based decision-making.

Pros
  • Custom data product creation
  • Predictive analytics products
  • Wide industry applicability
  • Optimizes marketing, sales
  • Supports Python development
  • Predicts upselling opportunities
  • Data-driven products
  • Machine learning for non-experts
  • Streamlined data decision making
  • Revenue Copilot application
  • Churn, cohort behavior anticipation
  • User session prediction
  • Future purchase prediction
  • Demand planning
  • Anomaly detection
Cons
  • Requires Python knowledge
  • Difficulty with non-tabular data
  • Secrecy around algorithm types
  • Limited ready-to-use algorithms
  • Lack of transparent pricing
  • Too complex for beginners
  • Limited data visualization options
  • Dependent on Shimoku's templates

313 . QueryCraft

Best for seamless data analysis automation

Querycraft is a data analytics tool that falls under the category of "Data Analytics Tools." For a detailed and human-readable description of Querycraft, please refer to the document named "querycraft.pdf" .

314 . Gretel

Best for data analytics enhancement

Gretel is a synthetic data platform for developers specializing in creating artificial datasets resembling real information to improve AI models while maintaining privacy standards. It offers APIs for custom AI model fine-tuning and on-demand synthetic data generation. Ideal for finance, healthcare, and the public sector, Gretel.ai creates anonymized and secure synthetic data.

Pros
  • Generates synthetic data
  • Unlimited synthesized datasets
  • Privacy-preserving transformations
  • Advanced NLP detection
  • Complete set of APIs
  • Quality and privacy scoring
  • Generates data on-demand
  • Offers documentation and tutorials
  • Open-source SDKs
  • Cloud runners for containment
  • Can run in own environment
  • Workload cloud scaling
  • Generates data from input
  • Builds synthetic data pipelines
  • Flexible rule-based data transformation
Cons
  • Limited industry-specific solutions
  • Lack of deployment options
  • Potential long training times
  • Requires technical knowledge for use
  • Manual data transformation rules
  • Lack of built-in data visualization
  • Limited model validation features
  • Lack of predictive analytics capabilities
  • No real-time data support

315 . Hotjar

Best for facilitates swift data-driven decisions

Hotjar is a data analytics tool that provides comprehensive insights into website user behavior. It offers features such as heatmaps to show ignored areas and elements that drive conversions, surveys for user feedback, and recordings to understand user interactions. Hotjar is trusted by over 1.3 million websites globally and is used by various companies to enhance user experience and optimize web pages. The tool facilitates team alignment, integrates with multiple applications, and offers a free basic plan alongside paid options with GDPR and CCPA compliance. Hotjar AI is a component of Hotjar that automates survey creation, analysis, and report generation to streamline research processes and enable quicker data-driven decision-making.

Hotjar AI specifically revolutionizes the research process by automating survey creation, analysis, and summary report generation. It supports users in setting research goals, offering features like seamless integration with various applications, alignment with team objectives, and assisting in making user-led product decisions. Hotjar AI eliminates manual work involved in creating surveys and allows for indefinite storage of survey responses. Additionally, Hotjar AI is available on all Hotjar plans, includes a free basic plan, and ensures data security with GDPR- & CCPA-readiness.

Pros
  • Facilitates team alignment
  • Quick identification of key findings
  • Seamless integration with applications
  • Syncs with email and Slack
  • Connects with over 1,000 tools via Zapier
  • Available on all Hotjar plans
  • Free Basic Plan available
  • GDPR- & CCPA-ready
  • Unlimited surveys on paid plans
  • Stores survey responses indefinitely
  • Supports diverse research goals
  • Helps in user-led product decisions
  • Automates survey research process
  • Speedy survey creation
  • Summary reports generation
Cons
  • No offline capabilities
  • Limited user-centric capabilities
  • No multi-user collaboration
  • No voice command feature
  • Fewer translations available
  • Less control over analysis
  • Dependent on third-party integrations
  • Restricted free Basic plan
  • Limited custom survey options
  • Limited to predefined objectives