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. 151. Aible for lead scoring optimization

  2. 152. Conduit app for customized performance dashboards

  3. 153. Brewit for real-time data-driven decision-making

  4. 154. Byterat for optimizing data visualization techniques

  5. 155. Kanaries for streamlining complex data analysis

  6. 156. Roe AI for customer interaction data analysis

  7. 157. Athenic AI for enhanced decision-making with real-time insights

  8. 158. Yabble for real-time customer feedback analysis

  9. 159. Cerebri AI for crm data optimization

  10. 160. Fluenthq for empower analytic teams with insights

  11. 161. Three Sigma AI for enhances efficiency in data analytics

  12. 162. Sisense for comprehensive data visualization

  13. 163. Raia for transform static data into dynamic

  14. 164. Insightjini for interactive data analysis platform

  15. 165. Rose AI for enhancing business decision making

837 Listings in AI Data Analytics Tools Available

151 . Aible

Best for lead scoring optimization

ChatAible is an explainable AI tool that is designed to automatically ask millions of questions of data, identify key insights, and summarize those insights using generative AI technology. This makes the insights easily understandable for business executives. ChatAible's generative AI is used to summarize and double-check the key insights identified by the AI, allowing for the presentation of insights in a format that business executives can easily consume. Some of ChatAible's clients include large companies like UnitedHealthcare, Cisco, and NYC Health+Hospitals. The tool engages with data by asking numerous questions to uncover key insights, utilizes explainable AI technology to find insights, and then summarizes them using generative AI. ChatAible provides resources such as case studies, marketing solutions, e-books, webinars, videos, and whitepapers. It complies with user preferences regarding cookies by only using a single cookie, without tracking user information. The tool has a wide range of applications across industries such as Marketing, Supply Chain, Higher Education, Sales, e-Commerce, and Customer Service, with specific benefits in areas like CPG Manufacturing, Healthcare, Education, and more. Capabilities offered by ChatAible include 'Gen AI', 'Augmented Data Engineering', 'Augmented Analytics', and 'Augmented Data and ML', enabling efficient AI utilization by both business and IT teams. ChatAible has partnered with companies like AWS, Boomi, Google, Intel, and Rackspace. It is not necessary to be a data scientist to use ChatAible, as it is accessible to various roles including Chief Data Officer, Business Manager, and Business Analyst. Additionally, it offers features for sales and marketing analysis, customer experience enhancement, logistics optimization, and enterprise analytics. A demo of ChatAible is available on their website for users to explore its capabilities further. Recent features introduced by ChatAible are not specified, but the tool regularly updates to align with industry trends and client needs.

Pros
  • Accelerates finding key insights
  • Fortune 100 validation
  • Optimizes business operations
  • User information privacy
  • Customizable cookie preferences
  • Resource availability (webinars, videos, etc.)
  • Targeted to diverse roles
  • Applicable across industries
  • Constant evolution and updates
  • Successful case studies
  • Third-party technology integration
  • Sales, logistics, customer retention optimization
  • Healthcare analytics capabilities
  • CPG manufacturing, legal, transportation application
  • Augmented Data Engineering feature
Cons
  • Limited personalization options
  • No clear API integration
  • Limited real-time analysis
  • Lack target user adaptation
  • Unmentioned data security measures
  • Lack of a free version
  • Single cookie usage
  • Lack of free version

152 . Conduit app

Best for customized performance dashboards

Conduit is an AI-powered data analytics tool that specializes in data integration, analysis, and presentation. It is designed to import data from various systems such as Shopify, Salesforce, HubSpot, Google Analytics, Quickbooks, Zendesk, and Stripe into Google Sheets. Users can work with and analyze their data within Google Sheets, generate customized dashboards, and receive clear GPT-like answers to data-related queries. Conduit offers features such as data monitoring, notifications via email or Slack, free dashboard templates, and performance metrics tracking. It is user-friendly, requiring no advanced technical skills and can be used within SaaS applications through a Chrome extension.

Pricing

Paid plans start at $300/month and include:

  • 5 users limit
  • Unlimited import size
  • 10 integrations
  • $50 per additional integration
  • 3 years of data
  • 4 schema per connection
Pros
  • Data integration with multiple systems
  • Google Sheets integration
  • GPT-like answer generation
  • No technical skills required
  • Can work within SaaS applications
  • Plugin for Chrome
  • Data monitoring capabilities
  • Notifications via email or Slack
  • Free dashboard templates
  • Performance metrics tracking
  • Comprehensive and customized dashboards
  • Tag analysis functionality
  • Contact reasons tracking
  • Demand drivers analysis
  • SLA quality control
Cons
  • Limited to Google Sheets
  • Dependent on Chrome extension
  • Requires external apps integrations
  • No mobile app available
  • Limited free templates
  • No support mentioned
  • Lacks in-depth analysis tools
  • Dependent on existing SaaS
  • No Offline Capability
  • Data security depends on third-party

153 . Brewit

Best for real-time data-driven decision-making

Brewit is an AI-powered data analytics tool that simplifies data management by incorporating an intelligent semantic layer for collaborative, data-driven decision-making. It offers features such as handling complex queries, an approval workflow for data review, role-specific AI agents, and real-time insights through clear data visualization. The tool aims to assist businesses in understanding their performance by analyzing their data efficiently.

Pros
  • Real-time insights
  • Intelligent semantic layer
  • Fast complex queries
  • Data review workflow
  • Integration with data warehouses
  • Built-in data catalog
  • Visual data presentation
  • Instant data insights
  • Drag and drop dashboards
  • Collaboration settings
  • Permission management
  • Better decision-making support
  • Text-to-SQL enhancement
  • Single source of truth
  • Efficient schedule management
Cons
  • Lacks prediction capabilities
  • No native mobile app
  • No dedicated customer support
  • Missing advanced visualization
  • No offline capabilities
  • Integration limited to warehouses
  • Limited language compatibility
  • No data export feature
  • Inefficient updates for agent
  • No Customizable dashboards

154 . Byterat

Best for optimizing data visualization techniques

Byterat is a data analytics tool that harnesses the power of machine learning to accurately forecast battery performance. It offers insights and predictions about the lifespan, capacity, and overall health of various types of batteries. Byterat's platform enables users to make informed decisions regarding battery usage, maintenance, and replacement. One of its key features is the ability to analyze and interpret battery data in real-time, allowing users to monitor performance, identify issues, and optimize battery efficiency. Additionally, Byterat provides recommendations for optimal charging cycles, best practices for battery storage, and insights into the environmental impact of different battery technologies.

155 . Kanaries

Best for streamlining complex data analysis

Kanaries RATH is an AI-enhanced data exploration tool specifically designed for automating the discovery of patterns, insights, and the creation of charts and dashboards from multi-dimensional data. It simplifies data wrangling, exploration, and visualization workflows with its robust automation capabilities, including features like the Augmented Analytic Engine, Copilot for Data Exploration, Data Painter, Data Preparation, and Graphic Walker for embedding visual analytics into web and mobile applications.

It offers numerous advantages such as automated data exploration, simplified data wrangling workflow, one-click data exploration, intelligent recommendations generation, data cleaning and transformation capabilities, along with support for better prediction models and improved business decision-making. Kanaries RATH also enhances data analysis speed and accuracy through automation and machine learning, thereby reducing the risk of human error and improving efficiency.

Pros
  • Automated data exploration
  • Generates charts and dashboards
  • Simplifies data wrangling workflow
  • Powerful automation capabilities
  • One-click data exploration
  • Intelligent recommendations generator
  • Data Painter for pattern identification
  • Data Preparation features
  • Data cleaning and transformation
  • Graphical Walker for embedding
  • Speeds up data analysis
  • Enhances accuracy of analysis
  • Supports multi-dimensional data
  • Augmented Analytic Engine
  • Causal relationship identification
Cons
  • Possible over-reliance on automation
  • Not open-source
  • No specified collaboration features
  • Limited to web and mobile applications
  • Learning curve for non-experts
  • No clear data import capabilities
  • Unclear data security measures
  • No offline usage
  • No integrated version control

156 . Roe AI

Best for customer interaction data analysis

Roe AI

Roe AI is a platform designed to manage unstructured data efficiently, enabling users to store data from various sources in different formats and eliminate data silos. It leverages GEN AI technology to swiftly process and extract insights from unstructured data. The platform supports multiple types of unstructured data and features an omni search capability for comprehensive searches within the data. Roe AI prioritizes data security by encrypting data, models, and indices at rest within a secure virtual private cloud. It finds applications in various sectors including market intelligence, customer success, marketing, and AI copilots.

Roe AI supports a wide range of unstructured data types, with more than 21 types covered, including natural language scripts, documents, images, videos, and audios.

The platform can be applied in multiple sectors for data analysis, such as market intelligence, customer success, marketing, and AI copilots. It assists investment teams in extracting insights about companies and founders, improving data analysis from customer interactions, aiding in marketing segmentation based on unstructured data, and supporting AI copilots.

GEN AI technology within Roe AI is designed to quickly process and derive insights from unstructured data. It is known for its ability to reason complexly, be steerable and teachable, and provides personalized Gen AI models tailored to process unique unstructured data for enterprises.

Roe AI ensures data security by encrypting data, models, and indices at rest within a virtual private cloud, offering a high level of protection for sensitive data handling and storage.

Roe AI eliminates data silos and supports quick results delivery, offers versatile data type support, omni search capability, strong data security, and a variety of use cases including marketing segmentation and customer success enhancement.

Pros
  • Unstructured data support
  • Data silos elimination
  • Quick results delivery
  • Versatile data type support
  • Omni search capability
  • Strong data security
  • Data encryption
  • Virtual private cloud use
  • Diverse use cases
  • Marketing segmentation aid
  • Unstructured data standardization
  • Data classification and inferences
  • Content optimization with similarity search
  • Data handling efficiency
Cons
  • No mobile application
  • Limited data types supported
  • No built-in collaboration features
  • Machine learning knowledge requirement unclear
  • Only supports English language
  • Pricing details not clear
  • Setup requirements not mentioned
  • Limited customer service options

157 . Athenic AI

Best for enhanced decision-making with real-time insights

Athenic AI is an AI-powered tool designed to simplify data and business analytics by enabling teams to analyze company data through asking questions. It utilizes AI to generate SQL queries, integrates with various data sources, and helps in making data-driven decisions without the need for deep SQL knowledge. Athenic AI ensures data security by being SOC2 Type 2 compliant, meeting high standards for managing customer data.

It supports integration with over a hundred different data sources including CRMs and various databases like PostgreSQL, MySQL, MariaDB, and SQL Server. The tool translates user questions into SQL to provide rapid insights from big data and presents the extracted information through reports, graphs, or data visualizations. Athenic AI is suitable for industries requiring data analytics for decision-making and offers self-service analytics capabilities, reducing dependency on IT for data analysis.

Athenic AI allows users to directly ask questions in plain language, which the AI then translates into SQL queries, enabling quick and understandable access to business insights. It can also assist business leaders in decision-making by facilitating easy navigation and analysis of large datasets. The tool is versatile for various industries and data sources, improving operational efficiency and making data silos actionable. Athenic AI has a streamlined approach to data analytics, enabling on-demand data analysis and providing comprehensive data source integration.

Pros
  • Generates SQL queries
  • Search-based analytics
  • Data-driven decisions support
  • Over hundred data integrations
  • Self-service analytics
  • Compatible with any database
  • Compatible with CRMs
  • Compatible with ERPs
  • Compatible with other apps
  • Reduction of IT dependency
  • Support of customized questions
  • Instant question answering
  • SQL usage without technical knowledge
  • Easy navigation even with large datasets
  • Safe and reliable data handling
Cons
  • Lacks mobile app
  • No live chat support
  • Inadequate tutorials and documentation
  • Limited integration features
  • Dependent on Internet connectivity
  • No offline capabilities
  • Potential security concerns
  • Complex setup process

158 . Yabble

Best for real-time customer feedback analysis

Yabble is a powerful AI-powered tool that revolutionizes insights by providing instant and automated solutions for analysis and decision-making. Founded by Kathryn Topp and Rachel O’Shea, Yabble offers a transformative toolbox of secure and automated AI solutions with various features such as Count, Gen, Summarize, Stories, and Virtual Audiences. This tool utilizes custom-built algorithms and OpenAI's GPT neural network to generate accurate and automated insights from unstructured text data effortlessly. It caters to various stages of research, enabling teams to access insights within minutes, accelerate innovation pipelines, create themes and subthemes from data quickly, and validate multiple hypotheses in real-time. Yabble's products include Count, Gen, Summarize, and Augmented Data, empowering teams to unlock the value in their unstructured data and gain a competitive advantage for business growth.

Pricing

Paid plans start at $800/month and include:

  • Count
  • Gen
  • Summarize
  • Stories
  • Virtual Audiences
Pros
  • Yabble is an AI-powered tool that revolutionizes insights by providing instant and automated solutions for analysis and decision-making.
  • It offers a suite of tools that can count, summarize, and chat with data, including the world's first ChatGPT plugin.
  • Yabble is designed as an end-to-end AI solution for insights, catering to various stages of research.
  • The tool utilizes a combination of custom-built algorithms and OpenAI's GPT neural network to generate accurate and automated insights from unstructured text data effortlessly.
  • Its unique features enable teams to access insights within minutes, accelerate innovation pipelines, create meaningful themes and subthemes from data in seconds, and validate multiple hypotheses in real-time.
  • Yabble's key products include Count, Gen, Summarize, and Augmented Data.
  • Count allows users to turn their data into actionable insights with a single click, helping identify key drivers for business growth.
  • Gen acts as an AI research assistant, allowing users to ask their data unlimited questions and gain rich insights quickly.
  • Summarize provides detailed summaries of long-form data effortlessly in minutes, reducing the time and effort spent on manual analysis.
  • Augmented Data enables users to access quality data quickly and easily to answer any research question.
  • Overall, Yabble empowers teams to unlock the value in their unstructured data, gain a competitive advantage, and accelerate their speed to insights for business growth.
  • AI-generated data
  • Unlimited insights
  • Virtual Audiences – an industry step change
  • Instant access to market insights and trends
Cons
  • Considering other AI tools in the industry, Yabble may have some missing features that could be considered as cons. However, no specific cons are mentioned in the provided document.

159 . Cerebri AI

Best for crm data optimization

Cerebri AI Inc. specializes in providing data science and AI-based analytics tools for business travel and meetings for enterprise customers. Their platform, Cerebri AIQ, aims to offer near real-time data and analytics to help managers make informed decisions driven by AI. This platform combines human intelligence, big data, and machine learning to convert complex data sets into actionable knowledge, with a focus on marketing & sales, travel & finance, and ESG data management. Cerebri AI empowers businesses to act swiftly and intelligently by applying advanced analytical algorithms to data, facilitating seamless integration between human decisions and smart technology.

160 . Fluenthq

Best for empower analytic teams with insights

Fluent is an AI data analyst tool categorized under Data Analytics Tools. It is designed to empower decision-makers by enabling self-serve data insights through natural language queries. The tool promotes team-wide data understanding, supports remote work dynamics, enhances data integrity, and ensures consistency by clarifying user inquiries and offering shared data dictionaries. Fluent integrates with communication platforms like Slack and Teams to deliver insights directly within these chat interfaces, supports major data warehouses and common file formats, offers enterprise-grade security measures like AES-256 encryption, multi-factor authentication, and on-premise deployment options, and provides options for user-owned data storage.

Pros
  • Self-serve data insights
  • Natural language insights interpretation
  • Clarifies user inquiries
  • Promotes real-time data collaboration
  • Shared data dictionaries
  • Supports remote work
  • Integration with Slack, Teams
  • Curated tailored datasets
  • Clear data usage guidelines
  • Intelligible SQL feature
  • Embeds company-specific metrics
  • Consistent terminology usage
  • Major data warehouses compatibility
  • Supports common file formats
  • Regularly adds new integration
Cons
  • Natural language understanding issues
  • Depends heavily on user input
  • No predictive modeling capabilities
  • Limited access control options
  • Query results reliant on external storage
  • No autonomous data discovery
  • Requires 'Intelligible SQL' understanding
  • Dependent on company-specific metrics embedding
  • Inflexible in regards to data sources

161 . Three Sigma AI

Best for enhances efficiency in data analytics

Three Sigma is an AI research tool that utilizes advanced search algorithms to quickly and easily locate the information needed. It is designed to enhance productivity, improve efficiency, and enable innovation by leveraging OpenAI's algorithms. The tool works by navigating through documents, reducing reading time by 90%, and providing precise information efficiently.

Pros
  • Advanced search algorithms
  • Enhances productivity
  • Improves efficiency
  • Traces origin of answers
  • Free Solo Mode
  • No document reference needed
  • Refines algorithms continuously
  • Reading time reduced by 90%
  • Upcoming GPT-4 upgrade
  • Can understand document images
  • Suitable for large data
  • Not restricted to developers
  • Ideal assistant for Q&A
Cons
  • No offline mode
  • No document security details
  • Limited to English language
  • Lacks voice recognition
  • No mobile app version
  • Available upgrades not defined
  • Limited user interface customization
  • No multiple user support
  • Potential missing visual data interpretation

162 . Sisense

Best for comprehensive data visualization

Sisense is a data analytics tool that provides various features such as AI capabilities like analytics chatbots and narratives. It caters to advanced users and developers, offering RESTful web API access for enhanced data interaction. Users can run standard SQL queries in Sisense to explore and manipulate data effectively, allowing for in-depth analysis. The platform's actionable intelligence capability enables users to take direct actions based on data-driven insights, aiding in efficient decision-making. Sisense also offers explainability features to help users interpret analytics outcomes quickly. Additionally, it allows for joining multiple data sources for extensive data modeling and offers a single sign-on feature for improved user authentication.

Sisense supports various industries like healthcare, retail, manufacturing, tech, financial services, pharma, and life sciences, providing valuable insights for data-driven decision-making in these sectors. The platform is suitable for embedding intelligence into product development processes and offers a FusionCompose SDK for creating seamless analytics experiences within products. With capabilities like the Javascript API & Add-ons, users can customize visualizations and apply custom formatting to meet their analytical needs. Sisense caters to a broad range of users, including those comfortable with pro-code, low-code, and no-code environments, providing a flexible and versatile analytics platform.

Pros
  • Pro-code, low-code, no-code capabilities
  • Seamless analytical experiences
  • Scalability for analytics management
  • Multi-source data access
  • Conversational analytics feature
  • RESTful web API for developers
  • Actionable intelligence capability
  • Data interpretability (Explainability)
  • Data modelling across multiple sources
  • Single sign-on feature
  • Industry-specific applicability
  • Git Integration
  • Standard SQL queries for data extraction
  • User and developer authentication
  • Developer-friendly with API and SDKs
Cons
  • No-code usability not specified
  • SQL needed for data extraction
  • Complex for basic users
  • Limited explainability features
  • Dependent on data quality
  • No obvious real-time capabilities
  • Limited predictive analytics
  • Learning curve for SDK
  • Industry-specific features not specified
  • Limited tools for data cleaning

163 . Raia

Best for transform static data into dynamic

Raia is a data analytics tool that provides real-time actionable insights, automates data analysis processes, and offers predictive insights and potential actions to take based on the data analyzed. It facilitates decision-making, boosts productivity, and simplifies the handling of complex data sets. Raia goes beyond traditional data reporting by transforming static data into dynamic, streamlining report creation, and engaging with users personally. It supports daily data analysis, facilitates team communication, and enhances sales opportunities. However, Raia requires a data source connection, is dependent on natural language processing, and may lack specified security measures and customization options.

Pros
  • Tailored data insights
  • Executes tasks based on data
  • Transforms static data into dynamic
  • Automates crucial tasks
  • Assists in decision-making
  • Boosts productivity
  • Provides proactive analysis
  • Futuristic decision-making with predictions
  • Simplifies complex data sets
  • Goes beyond traditional data reporting
  • Easy connection to internal data
  • Supports daily data analysis
  • Facilitates team communication
  • Streamlines report creation
  • Offers Natural Language processing capabilities
Cons
  • Requires data source connection
  • No standalone capability
  • Dependent on natural language processing
  • May alienate advanced users
  • Unclear integration process
  • No specified security measures
  • Limited communication platforms
  • Lack of customization

164 . Insightjini

Best for interactive data analysis platform

InsightJini is an AI-powered tool designed for simple data analysis and visualization, particularly tailored to non-experts. Users can upload Excel or CSV files to receive instant insights and visualizations without the need for coding or manual efforts. The tool allows data exploration through an intuitive interface, supports files up to 100MB in size, and stores data for 24 hours before automatic deletion. InsightJini also integrates ChatGPT for conversational interactions with data, enhancing the exploration process and providing interactive insights.

Additionally, InsightJini does not provide an API for integration and operates on a credit-based cost system, with task credits consumed for each file upload and AI words utilized by the chat feature. The ChatGPT integration allows users to interact with their data conversationally, making the exploration process more intuitive and interactive. The tool simplifies data analysis, eliminates the need for manual effort or programming skills, and offers automatic insights and visualizations from uploaded datasets. InsightJini ensures data privacy by storing data for only 24 hours before deletion and provides a feature request page for users to suggest new functionalities.

Pros
  • Simple data analysis
  • Data visualization for non-experts
  • Excel, CSV file support
  • Auto-insights
  • Interactive interface
  • ChatGPT integration
  • Interactive data exploration
  • Handles up to 100MB files
  • Data storage for 24 hours
  • User-friendly
  • Efficient
  • No need for programming
  • Automated data processing
  • Credit-based cost
  • Drag and drop file upload
Cons
  • No API availability
  • Limited data storage duration
  • File size maximum 100MB
  • No programming features
  • Cost per file upload
  • Only support CSV, Excel files
  • No language processing options
  • Costs per file upload

165 . Rose AI

Best for enhancing business decision making

Rose.AI is an AI-powered tool designed to streamline the data research process by finding, cleaning, visualizing, and transforming data. It utilizes open-source Language Model Models (LLMs) and natural language processing techniques to parse information based on human language prompts. Rose.AI offers seamless integration with data providers, effective data visualization, and a fully auditable framework. Users can protect sensitive information, share data easily, and operate as a data marketplace for buying and selling datasets. However, it does not have an API mentioned, relies solely on LLMs, and may pose complexity for non-analysts. The tool is particularly popular among analysts in financial institutions for its reliability in data-intensive tasks.

Pros
  • Streamlines data research
  • Efficient solution for data analysis
  • Cleaning and visualizing data
  • Uses open-source LLMs
  • Incorporates natural language processing
  • Locates relevant data sources easily
  • Seamless integration with data providers
  • Effective data visualization
  • Fully auditable framework
  • Traceable outputs to raw inputs
  • Promotes transparency and accountability
  • Frictionless data sharing
  • Control over data permissions
  • Protects sensitive information
  • Functions as a data marketplace
Cons
  • No API mentioned
  • Relies solely on LLMs
  • Complex for non-analysts
  • Unclear data security measures
  • May have permissioning challenges
  • Platform's transparency unclear
  • Limited customer support channels
  • Unclear how to troubleshoot