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. 136. Shape.xyz for ceo waitlist sign-ups analysis

  2. 137. Dsensei for pinpointing metric change drivers

  3. 138. Formularizer for automate data cleaning tasks

  4. 139. Narrative BI for automate kpi monitoring and reporting

  5. 140. PromptLoop for automate data analysis with ai integration

  6. 141. SingleStore for real-time analytics on operational data

  7. 142. Magic Dash AI for effortless data visualization

  8. 143. Stratup.ai for optimizing sales forecasts

  9. 144. BaseBoard AI for generating visual insights for data-driven decisions

  10. 145. Stepsize AI for enhancing team alignment with insights

  11. 146. Crustdata for analyze real-time company growth trends

  12. 147. Scrol.ai for advanced data analysis automation

  13. 148. Visq for visualize and optimize store traffic patterns

  14. 149. Mindee for instant data capture for analytics

  15. 150. CleverCharts AI for market trends visualization

837 Listings in AI Data Analytics Tools Available

136 . Shape.xyz

Best for ceo waitlist sign-ups analysis

Shape.xyz is a data analytics tool designed to enable users to efficiently explore and analyze their data. The tool utilizes AI technology to provide quick answers to complex data questions within seconds. Shape supports various types of queries such as new subscriptions, average app usage hours, and performance comparisons between different types of content in specific months. It also offers insights on topics like top countries for AI course demand, user team size distribution, and CEO waitlist sign-ups. Shape's AI engine is tailored to think like an analyst, ensuring accurate interpretation of questions and providing nuanced answers that go beyond just raw numbers. Additionally, Shape utilizes advanced SQL capabilities, continuously learns from user interactions to improve its performance, integrates with Slack for fast access to answers, and maintains a focus on accuracy and security, including leveraging GPT-4 custom agents and SOC 2 Type 1 certification.

Pricing

Paid plans start at $49/month and include:

  • AI data analyst
  • Ad-hoc queries answered
  • AI analyses your data
  • 2 users included
  • Additional users $24.95/pm
  • Slackbot
Pros
  • AI data analyst
  • Ad-hoc queries answered
  • AI analyses your data
  • Unlimited users
  • Slackbot integration
  • Microsoft Teams bot integration
  • White glove onboarding
  • Continuous improvement through user interactions
  • Smart interpretation of results
  • Best-in-class accuracy for data analysis
  • Industry-standard encryption for credential storage
  • SOC 2 Type 1 certification
  • Easy data exploration, understanding, and visualization
  • Fast access to answers through Slackbot
  • Option to double-check results with human analysts
Cons
  • No specific cons were mentioned in the document.
  • No specific cons mentioned in the document.

137 . Dsensei

Best for pinpointing metric change drivers

DSensei

DSensei is an open-source AI-powered key driver analysis engine designed to help users identify the root cause of fluctuations in metrics. It autonomously explores all possible combinations over a specified period to provide intuitive insights into the reasons behind specific movements in datasets. Unlike other BI tools, DSensei focuses on understanding why metrics change rather than just showing what changes occur, saving data teams time by automating root cause analysis and identifying significant components without manual investigation. It can be tried locally through their GitHub repository and offers a live demo for users to experience its capabilities firsthand. DSensei facilitates data-driven decision-making by offering comprehensive insights into the key drivers behind metric fluctuations, making it useful for organizations across sectors where data-driven decision-making is crucial.

Pros
  • Open-source
  • Automates root cause analysis
  • Analyzes all segments impact
  • Identifies significant components
  • Autonomous data combination explorations
  • Detailed segment exploration
  • Intuitive insights provision
  • Live demo available
  • Local trial through GitHub
  • Active community presence
  • Blog with helpful resources
  • Accessible via Discord
  • Enables data-driven decisions
  • Uncover overlooked metrics impacts
  • Comprehensive understanding of metrics
Cons
  • Requires manual setup
  • Missing data encryption provided
  • Insufficient tutorial resources
  • Dependency on GitHub for installation
  • No data encryption provided
  • No collaboration tools
  • Technical skill required for use
  • No on-premise installation option
  • No customer support service

138 . Formularizer

Best for automate data cleaning tasks

Formularizer is an innovative AI-powered platform designed to simplify and enhance the way users work with spreadsheets on platforms like Excel, Google Sheets, and Notion. It generates and explains complex formulas based on user instructions, aiming to boost efficiency and productivity for students, data scientists, and professionals who frequently use spreadsheets. This tool supports Excel VBA, Google Apps Script, and regular expressions, emphasizing data privacy and security while providing a user-friendly interface for easy spreadsheet manipulation .

Pros
  • Formula Generation: Generates and explains formulas for Excel, Google Sheets, and Notion based on user instructions.
  • Task Assistance: Provides step-by-step guidance such as changing cell color by typing simple commands.
  • Regular Expression Support: Creates and elucidates Regex patterns for advanced text manipulation and search.
  • Scripting Support: Supports code generation and explanation for Excel VBA and Google Apps Scripts to automate tasks.
  • User-friendly Interface: Features a simple and intuitive interface that assists in solving spreadsheet problems quickly.
  • Formula Generation
  • Task Assistance
  • Regular Expression Support
  • Scripting support
Cons
  • No cons found for Formularizer

139 . Narrative BI

Best for automate kpi monitoring and reporting

Narrative BI is a generative analytics platform designed for growth teams that automatically converts raw data into actionable narratives. It leverages AI technology, specifically 'Generative AI,' to automate the generation of marketing insights and facilitate the production of actionable narratives from raw data. Users do not need to have coding skills to use Narrative BI; they can easily connect their data sources and start using the platform without any code. Narrative BI integrates with popular tools like Google Analytics 4, Google Ads, Facebook Ads, and HubSpot, providing personalized insights for marketing, aiding agencies in data-driven decisions, assisting product teams in understanding users, and enabling sales teams to close deals efficiently. The platform offers features such as Slack integration for monitoring key metrics, anomaly detection, automated reporting, natural language insights, and in-narrative collaboration for team collaboration.

Pricing

Paid plans start at $30/month and include:

  • Slack Integration
  • Unlimited Data Narratives
  • Unlimited Alerts
  • Custom Alerts
  • Automated Reports
  • GPT4-powered Insights
Pros
  • Automatically generates data insights
  • Natural language insights
  • Integrates with popular tools
  • Personalized insights for marketing
  • Data-driven decisions for agencies
  • Provides comprehensive user understanding
  • Augmented analytics for sales
  • Slack notifications for metrics
  • Anomaly detection feature
  • Scheduled reporting system
  • In-narrative collaboration
  • Ease of integration with data sources
  • No coding requirement
  • Multiple data source compatibility
  • Actionable insights transformation
Cons
  • Not real-time analysis
  • Limited 3rd-party integration
  • No Salesforce integration yet
  • No HubSpot integration yet
  • Insights mainly in English
  • No API for customization
  • Poor small data performance
  • Limited metrics customization
  • No distributed data processing
  • No specific cons or missing features of using Narrative Bi were found in the provided documents.

140 . PromptLoop

Best for automate data analysis with ai integration

PromptLoop is a data analytics tool that provides reliable and flexible AI solutions for companies looking to enhance their market research efforts. It offers integration with AI models like chatGPT and GPT4 within platforms like Google Sheets and Excel, allowing users to streamline market research tasks and gain valuable insights effortlessly. With features like advanced tagging, labeling, and web browsing research models, PromptLoop empowers businesses to categorize, analyze data, identify trends, and customer preferences effectively.

141 . SingleStore

Best for real-time analytics on operational data

SingleStore Kai™ is a tool designed to enable up to 100 times faster analytics on JSON data within existing MongoDB applications. It provides an easy-to-use API for MongoDB, allowing developers to utilize familiar MongoDB commands to achieve real-time analytics for their applications. This tool offers the ability to experience split-second response times and elastic scalability with SingleStore, enhancing analytics on applications by 100 times with the lightning-fast MongoDB API. Additionally, SingleStore Kai™ enables users to create embeddings and perform semantic searches using MongoDB APIs on SingleStore.

Pricing

Paid plans start at $574.9/month and include:

  • Transactions
  • Analytics
  • Search
  • Streaming ingestion + fast writes
  • High concurrency
  • Fast vector search
Pros
  • Transactions
  • Analytics
  • Search
  • Streaming ingestion + fast writes 10M upserts/sec
  • High concurrency 100k+ connections
  • Fast vector search 2-3x faster
  • Record lookups 1-15 ms
  • Global leaders choose SingleStore
  • Building real-time applications + analytics with SingleStore
  • Streaming data ingestion High throughput, parallel, lock-free streaming ingestion – up to millions of events per second – from diverse data sources including Apache Kafka, blob stores (S3, Azure blob storage, GCS) or HDFS
  • Low-latency queries Millisecond query performance that outstrips the performance of top data warehouses on popular analytical benchmarks, including those derived from TPC-H and TPC-DS
  • Petabytes of Data. Millisecond Response Times.
  • The simplest database to power your most complex SQL, JSON and vector workloads.
  • Transactions, Analytics, Search, Streaming ingestion + fast writes (10M upserts/sec)
  • High concurrency (100k+ connections)
Cons
  • No specific cons or missing features were identified in the document provided.
  • Not enough information provided in the documents to determine specific cons of using SingleStore Kai™.
  • The documentation could be improved, and some concepts are not explained very well
  • The interface could be more user-friendly
  • No specific cons mentioned in the provided files.

142 . Magic Dash AI

Best for effortless data visualization

Magic Dash AI is a data analytics tool that provides users with quick and easy visualization of Key Performance Indicators (KPIs). It offers features such as connecting databases with one click, quick insights visualization without the need for coding, and an intuitive user experience. Users have praised Magic Dash AI for streamlining data visualization processes and making it effortless to analyze data quickly, particularly through features like building KPI dashboards rapidly .

Pricing

Paid plans start at $13.99/month and include:

  • Unlimited queries
  • Save favorites
  • Quick Insights
  • No Coding
  • Easy to use
  • Remove query writing from the process

143 . Stratup.ai

Best for optimizing sales forecasts

Stratup.ai is a leading player in the AI tools industry, focusing on advancing AI solutions to boost productivity and innovation for businesses. Their platform is crafted to aid companies in utilizing artificial intelligence effectively for growth and operational efficiency. With a user-friendly interface, even individuals with limited technical expertise can harness the potential of AI for simplifying complex tasks and accessing valuable insights. Stratup.ai offers a range of services including process automation, data analytics, and digital content creation tools. The company prides itself on providing high-quality and adaptable AI tools that continuously evolve to meet the dynamic requirements of the digital landscape.

144 . BaseBoard AI

Best for generating visual insights for data-driven decisions

Baseboard is an AI-powered data visualization tool designed for various professionals including data analysts, product managers, and entrepreneurs to make data-driven decisions. It utilizes natural language processing technology for database interactions using plain English, eliminating the need for complex queries or coding. Baseboard offers a customizable dashboard with features such as team collaboration, generation of visual insights, and detailed visualizations. It aids in identifying trends, creating personalized graphs and charts, and enhancing data interpretation through visually appealing and digestible representations.

Pros
  • Customizable dashboard
  • Data displayed in graphs/charts
  • Natural language processing technology
  • No complex queries or coding
  • Integrates with various data sources
  • Generates visual insights quickly
  • Team-friendly dashboards
  • Promotes collaboration
  • Increases productivity
  • Facilitates data-driven decision making
  • Friendly data communication
  • Strengthens data interpretation
  • Unveils underlying patterns/trends
  • Detailed visualizations
  • Efficient data transformation
Cons
  • No API for data ingestion
  • Limited customer support options
  • Doesn't support large data sets
  • Requires internet connection
  • No mobile application
  • Undefined privacy and data policies
  • Lacks real-time data updates
  • Limited data source integrations

145 . Stepsize AI

Best for enhancing team alignment with insights

Stepsize AI is an AI-powered tool designed to streamline product development by generating intuitive and insightful dashboards using data from Jira boards or Linear teams. This tool offers unique features such as AI-powered analysis, zero-setup functionality, complete project visibility, robust data security measures, and theme identification to improve project understanding and decision-making. Stepsize AI generates detailed reports with actionable metrics and charts, accompanied by AI-generated commentary to aid users in understanding their data stories and aligning on sprint themes and goals. The tool also ensures data security by allowing users to choose which channels, projects, and repositories to include in updates, never using user data for training Large Language Models (LLMs), and employing 256-bit encryption for data safety. Additionally, Stepsize AI offers a 2-week free trial with no credit card required for the initial update.

Pricing

Paid plans start at $115/month and include:

  • Pull request integrations
  • Issues tracker integrations
  • Intelligent delivery risks
  • Instant insights
  • Zero setup
  • Tailored insights
Pros
  • Intuitive dashboards
  • Insightful reports
  • Actionable metrics and charts
  • Sprint theme identification
  • Streamlines product development
  • Zero setup feature
  • Complete project visibility
  • 256-bit encryption
  • Data security commitment
  • Selectable data sources
  • No use of user data for training
  • Automated dashboard generation
  • Task theme detection
  • Detailed work overview
  • Team alignment support
Cons
  • Visibility restrictions may limit insights
  • Lack of user interface customization
  • Doesn't support other project management tools
  • No mention of multi-platform support
  • No explicit user-defined data filters
  • Limited task theme identification
  • May oversimplify complex data
  • Lacks custom setup options
  • Only works with Jira and Linear

146 . Crustdata

Best for analyze real-time company growth trends

Companygpt, specifically Crustdata, is an AI-powered thematic company screener tool that offers a wide range of datasets and insights to help users gain a competitive edge over their rivals. It predicts the future performance of companies, enabling informed decision-making and strategic planning within various industries such as robot delivery services, enterprise SaaS, market intelligence, restaurant POS software, and fintech. Crustdata stands out among other company screeners due to its application of AI technology, comprehensive data range, and focus on functionality over marketing. Users can leverage features like BrandScope and Media to access brand-related data and information on media companies, enhancing their competitive advantage.

Pros
  • Thematic company screener
  • Wide range of datasets
  • Predictive insights on companies
  • BrandScope for brand data
  • Media data tools
  • Customizable search parameters
  • Sector-specific data
  • Supports various industries
  • Functional over marketing
  • Actionable insights provided
  • Custom plan discussion call
  • Data-driven decision making facilitation
  • Competitive advantage generator
  • Tailored user experience
  • Enhances business performance
Cons
  • No explicit cybersecurity measures
  • Insufficient support resources
  • Possible delay in updates
  • Lack of transparency in algorithms
  • No user community
  • Requires custom plan call
  • Narrow dataset categories
  • No API provided
  • Still in Beta version
  • Limited search functionality

147 . Scrol.ai

Best for advanced data analysis automation

Scrol.ai is an innovative platform for data-related needs that empowers users with instant and accurate content retrieval and generation capabilities. It leverages cutting-edge technology, including the latest GPT models, to enhance productivity and efficiency for tasks like searching for information, generating customized content, and conversing with data. The platform offers automation capabilities to streamline workflow, advanced data management solutions, and robust privacy and security measures to safeguard private data. Users can upload course material to have Scrol.ai teach them and solve problems, extract data from various sources, analyze company filings, and generate insights quickly with references. Additionally, features like creating Chat Bots trained on specific documents, conversational AI memory in chats, organizing with collections, generating document insights, and using Direct GPT Chat enhance the experience and utility of Scrol.ai.

Pros
  • Faster workflow with Tasks
  • Add custom Styles
  • OpenAI Plugin
  • Create a Chat Bot that is trained on your documents
  • The chat is now conversational
  • Organize with Collections
  • Add document Insights
  • Use Direct GPT Chat
  • Extraction from unstructured data
  • Get insights - quickly - with references
  • Build a better data workflow
  • Upload all the files your organization needs - once
Cons
  • Possible higher cost for using GPT-4 compared to GPT-3.5
  • Limitation on output size to allow for Context
  • Integration with productivity formats pending support
  • Missing features like OCR for legal contracts
  • Possible longer response times while using GPT-4
  • Potential need for more affordable options for simpler tasks
  • 404 errors on pages
  • Dependence on GPT models for more advanced outputs and creativity

148 . Visq

Best for visualize and optimize store traffic patterns

VisQ is a data analytics tool categorized under "Data Analytics Tools." It offers a "Visual Copilot" feature that simplifies advanced visual solutions for business operators and tech enthusiasts. This platform integrates generative AI and computer vision to allow users to easily create and deploy AI-driven visual tools without the need for coding knowledge. VisQ aims to enhance operational efficiency and explore AI technology, making cutting-edge visual solutions accessible across various industries. Key features include a no-code interface, advanced generative AI, computer vision, and customizable solutions tailored to meet specific business needs. This tool provides functionalities for tasks such as analyzing customer-product interaction from store footage, checking for PPE compliance in warehouse images, and assessing crop health from aerial farm images.

149 . Mindee

Best for instant data capture for analytics

Docti : Custom Document Processing

Docti is a custom document processing tool that enables users to build personalized OCR APIs quickly and effortlessly. Unlike generic off-the-shelf APIs, Docti allows for the creation of customized OCR APIs tailored specifically to the requirements of the user's product. This customization process does not involve any model training, offering instant and precise AI document processing capabilities. By leveraging state-of-the-art deep learning and large language models, Docti ensures high accuracy and efficiency in handling document processing tasks. With recent launches emphasizing the ease and speed of creating custom OCR APIs, Docti empowers users to enhance their document processing workflows effectively .

Pros
  • Unlimited volume
  • Community Support
  • Enterprise
  • Demand best in class services for large scale products
  • Ad-hoc pricing
  • Dedicated support
  • Private slack channel
  • The SLA you need
  • Custom pricing
  • Instant capture APIs transforming documents into usable data
  • A game changer for integrating document processing into apps
  • Smooth navigation with live user interface
  • Development of custom OCR API for any type of document
  • Extract accurate data in seconds
  • Smooth user interface for easy navigation
Cons
  • Demand best in class services for large scale products
  • Ad-hoc pricing
  • Dedicated support
  • Private slack channel
  • The SLA you need
  • Custom pricing

150 . CleverCharts AI

Best for market trends visualization

CleverCharts AI is an innovative data analytics tool that aims to redefine data analytics by providing AI-driven insights in a user-friendly manner. With CleverCharts AI, users can say goodbye to complex data analysis tools and SQL queries as the platform translates data queries into actionable insights using simple and conversational language. Users can interact with their data through customizable and visually appealing dashboards, allowing for deeper exploration of the data.

Moreover, CleverCharts AI prioritizes data security by encrypting user credentials to ensure privacy and utilizes the least privilege principle along with comprehensive audit logs for maximum safety. The platform caters to small to mid-sized businesses, startups, and non-technical users, offering them a new ally in making well-informed, data-driven decisions.

Pros
  • Conversational language data queries
  • Interactive, customizable dashboards
  • Full control over data
  • Encrypts user credentials
  • Planned cloud integration
  • MySQL data management
  • SQLite and Excel support
  • Aimed for non-technical users
  • Scaled for startups and SMBs
  • Data-driven decision making
  • Doesn't store platform data
  • Security through least privilege principle
  • Comprehensive audit logs
  • Data presentation is visually appealing
  • Complexity reduction in data analysis
Cons
  • Lack of advanced analytics
  • No specific cons or missing features were found in the document.
  • May lack scalability for larger companies
  • No multi-user collaboration features
  • Unclear data retrieval performance
  • Potential ambiguity in conversational input
  • May oversimplify complex queries
  • Limited to SQL, SQLite, Excel
  • No support for large databases
  • No API for external integration
  • Missing real-time data analysis