In 2024, AI tools for data analysts will be critical for making sense of large amounts of data quickly and accurately. These tools assist data analysts in identifying patterns, making predictions, and creating reports. There are a variety of AI-powered analytics tools available that will make your life significantly easier.
In this article, we will look at the top ten AI tools for data analysts in 2024, both free and paid. These tools are intended to make data analysis easier and more effective, allowing you to convert raw data into useful insights with ease.
Let's take a look at the best AI tools for data analysis that every data analyst should be aware of this year.

Top 10 AI Tools for Data Analysis in 2024

In 2024, AI tools for data analysis will be more important than ever for businesses and individuals. These tools can help you make sense of complex data, allowing you to make more informed decisions. Here's a list of the top ten AI tools for data analysts. We will go over both free and paid AI tools for data analysis, as well as their features, benefits, and drawbacks, so you can select the best AI tool for data analysis for your requirements.

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Tableau

Tableau is an artificial intelligence-powered analytics tool for data analysis. Businesses and individuals looking for a Generative AI Tool for Data Analysis that simplifies complex data through ready-to-use dashboards without scripting should consider Tableau. Tableau provides instant access to the best AI data analysis tools and allows you to easily group data points, making research more accessible. It increases data trustworthiness, visibility, and discoverability. Tableau can help you understand your data through natural language.

Features

• Gain instant access to the best analytical tools.
• You can easily group data points to make research easier.
• Improves information trust, visibility, and findability.
• How your data can assist you with natural language.

Pros

• Tableau provides users with AI-driven insights to improve their analysis.
• Improves workflow by streamlining data management.

Cons

• Previous data versions are unavailable.
• Tableau is an expensive tool for large companies.

Pricing

• The pricing plan starts at $12 per month.

Polymer

Polymer, a generative AI data analysis tool, is well-known for its usability. This is one of the best AI tools for data analysts; it allows you to create visualizations and presentations without having to write anything. Polymer monitors market fluctuations to assist you in making informed decisions and allows you to plan long-term business objectives through strategic planning. It also assesses financial performance to maximise profits and ensures smooth operations by monitoring critical KPIs.

Features

• Monitor market fluctuations to make informed decisions.
• Strategic planning helps to prepare long-term firm expansion goals.
• Profitability analysis measures financial performance in order to maximize profits.
• Check out the most important KPIs for ensuring smooth operations.

Pros

• Polymer simplifies data analysis and saves time.
• Polymer assists individuals in making informed decisions by automating pattern detection and providing detailed data insights.

Cons

• Polymer's sophisticated features may necessitate training for data analytics beginners.
• Users should look into pricing plans because advanced functionality may cost more.

Pricing

• Starter - $25 per month.
• Pro - $50 per month.
• Teams: $125 per month.
• Enterprise - Please contact sales to discuss a custom plan.

RapidMiner

RapidMiner, a versatile data mining platform for all skill levels, utilizes an intuitive drag-and-drop structure to accelerate data processing. Extensive integration and machine learning enable data teams to access, load, and analyze text, image, and audio files throughout the analytics life cycle. RapidMiner provides API integration to improve workflow management, advanced data security controls, real-time notifications for actionable data, and tools for collaborative decision-making and research.

Features

• API integration improves workflow management.
• Advanced access controls protect data while also meeting regulatory requirements.
• Real-time notifications provide actionable data.
• Tools for collaborative decision-making and research.

Pros

• RapidMiner simplifies data analysis through various system integrations.
• Machine learning-powered advanced analytics aids decision-making for businesses.

Cons

• Cheaper plans may limit the use and functionality of analytics tools by membership tier.
• The interface is simple, but data analysis beginners may need to understand its full potential.

Pricing

• Professional- $7,500 per month.
• Enterprise - $15,000 per month.
• All Hub- $54,000 per month.

Microsoft Power BI

Microsoft Power BI, a critical business intelligence application, is one of the AI tools for data analysts. Power BI, a well-known data analysis application, generates comprehensive reports and dashboards from various data sources. Microsoft Power BI connects to multiple data sources and integrates seamlessly with Microsoft applications. It allows you to change and model data using Power Query and Power Pivot, as well as create custom data visualizations to make data more engaging and relevant.

Features

• Connect to multiple data sources easily.
• Power BI, which is integrated with Microsoft and is one of the top ten free AI tools for data analytics in 2024, connects data in meaningful ways.
• Change and model data using Power Query and Power Pivot Access.
• Custom data visualizations make data more engaging and relevant.

Pros

• It streamlines data reporting, visualization, and dashboard development in existing frameworks.
• Dashboard customization enhances the user experience and delivers targeted insights.

Cons

• This free AI Data Analytics offers numerous capabilities; however, some subscriptions restrict sophisticated analytics.
• As with any complex data analysis tool, understanding Power BI may take some time.

Pricing

• Free, with limited features.
• Pro - £8.20 per month.
• Premium: £16.40 per user/month.

Julius AI

Julius AI provides customized data analysis tools and a web-based solution. Users can upload their CSV files to the platform for AI analysis. Julius AI provides data visualization in the form of simple charts and graphs, an easy-to-use user interface for data exploration, forecasting through predictive analytics, and the ability to create unique statistical models with reliable results.

Features

• Data visualization includes simple charts and graphs.
• A simple and user-friendly interface for data exploration and analysis.
• Forecasting employs predictive analytics to forecast trends.
• Developing unique statistical models with reliable results.

Pros

• Julius AI makes data analysis easier for non-technical users.
• Users have complete control over their data sources, ensuring its security and confidentiality

Cons

• While Julius AI simplifies data processing, it may require more advanced features for comprehensive analyses.
• Julius AI visualization is a simple project that may require assistance with complex data processing.

Pricing

• Free Plan: Free with limited features.
• Basic Plan - $17.99 per month.
• Essential Plan - $37.99 per month.
• Pro Plan - $49.99 per month.

MonkeyLearn

Monkey Learn, a San Francisco-based Generative AI Tool for Data Analysis, was released in 2014. It is adaptable and used for text and data analysis; its primary function is to extract insights from unstructured text. MonkeyLearn provides no-code text analytics, pre-built or custom machine learning models, customized text analysis models, and simple data visualization using textual data.

Features

• No-code text analytics makes it easier to visualize client feedback.
• To develop your models, you can use either pre-built or custom machine learning models.
• Company Blueprints creates customized text analysis models and dashboards for a variety of business needs.
• Data visualization entails creating simple charts and graphs from textual data.

Pros

• Ideal for textual analysis.
• Does not require any coding.

Cons

• Efficiency beyond text data is limited.
• Quality makes good use of effectiveness.

 Pricing

• MonkeyLearn API is available for free and costs $299 per 10,000 queries per month.
• MonkeyLearn Studio: Contact MonkeyLearn regarding pricing.

PyTorch

PyTorch is a ground-breaking deep-learning framework that enables complex models for natural language processing and image recognition. Major cloud service providers provide developers with a broad range of tools and frameworks. PyTorch supports tensor computations, improved GPU acceleration for faster data processing, automatic differentiation for neural network training, and versatile data mining tools with powerful machine learning capabilities.

Features

• You can compute tensors for analytics.
• Improved GPU acceleration speeds up data processing.
• Automatic differentiation makes it easier to train deep neural networks.
• Flexible data mining tools with powerful machine learning.

Pros

• With PyTorch's interface, you can easily develop and test complex neural network topologies.
• Using ONNX and TorchScript, models are efficiently distributed across platforms and devices.

Cons

• PyTorch's flexibility and dynamic nature may extend deep learning.
• PyTorch is one of the top ten data analysis tools for research and prototyping, but high-performance and scaled production may require additional effort.

Pricing

• Free

Akkio

Akkio is a ground-breaking artificial intelligence platform for data analysts looking for seamless business analytics and forecasting. It allows users to analyze datasets and forecast outcomes, making it ideal for data analysis beginners. Akkio supports predictive analytics, job management prioritization, lead scoring to find buyers, and sales and income forecasting. It is simple to use and ideal for beginners in data customization.

Features

• Analytical methodologies that predict the future.
• To improve job management, prioritize tasks using a list.
• This top free AI tool for data analysis includes lead scoring, which aids in the identification of potential buyers.
• Forecasting sales and income.

Pros

• Akkio's simple interface and lack of use make it ideal for newcomers to data customization.
• Clarity on model correctness improves user trust in platform analytics.

Cons

• Lower-cost subscription services may have fewer analytics features, limiting data exploration.
• Akkio is capable, but it could use more features to meet a variety of analytical needs.

Pricing

• Free.
• Basic - $49 per month.
• Professional - $99 per month.
• Organization Build-On Package - $999 per month.
• Organization Dedicated Server - $1,999 per month.

Datarobot

DataRobot revolutionizes machine learning model development and deployment for data scientists and ML engineers. Its automatic machine-learning capabilities accelerate model experimentation and operationalization while reducing human intervention. DataRobot detects feature data types automatically, provides simple statistics for each trait, frequent number histograms and charts, and allows you to change variable types manually for flexibility. This is one of the free artificial intelligence tools for data analysts.

Features

• Automatic feature data type detection.
• Datarobot calculates simple statistics for each trait.
• Creating frequent histograms and charts.
• Manually changing variable types promotes freedom.

Pros

• The flagship product, DataRobot AI Cloud, enables non-coders to create machine learning models.
• DataRobot makes data scope rationalization more productive by automating repetitive tasks.

Cons

• Specific pricing options may limit advanced analytics and capabilities.
• DataRobot simplifies machine learning, but some users may require the full experience.

Pricing

• Free

Sisense

Sisense is an Israeli company that develops Generative Artificial Intelligence Tools for Data Analytics. The well-known periscope data is now included in this tool. Sisense provides professional data management for large datasets, quick data cleaning for focused analysis, and thorough data exploration for insightful ideas. Sisense reduces the need for multiple tools and can scale with business needs; however, its advanced tools can be difficult to learn and use.

Features

• Sisense's data visualization simplifies complex data.
• Manage large datasets professionally.
• Clean the data quickly for focused analysis.
• Discover ideas by thoroughly exploring data.

Pros 

• Sisense reduces the need to use multiple tools.
• It can expand to meet the needs of the business. 
• Cons
• It is difficult to learn and use the more advanced tools.
• There are few native connections.

Pricing

• Free
• Basic– $25000 per year.