In today’s modern age, many companies rely on the latest technological innovations to achieve competitive advantage and business success. One recent trend that has taken over the online marketplace is the implementation of AI technology to streamline business processes and drive fast and efficient results. That’s why, in this article, we want to elaborate on the top 9 AI tools for data analysis and how they may benefit your company.
Since data analytics deals with large volumes of information, artificial intelligence can be used to take the workload off your shoulders and prevent common human errors from occurring. By explaining how this technology aids the data analysis process, you’ll be able to choose the appropriate tools to streamline your workflow efficiency.
Continue reading to discover the best AI data analytics tools and how their unique features can optimize your business operations.
So, how can artificial intelligence be used in the data analysis process? First, data analysis is responsible for gathering and analyzing large datasets to uncover and identify hidden patterns, trends, and correlations. The main goal of this process is to help businesses discover key pain points and areas of improvement for future process optimization.
Companies use various techniques and algorithms to extract and interpret valuable information from raw data, that can be used as actionable insights for data-driven decision-making. Since artificial intelligence utilizes machine learning and natural language processing algorithms, it can optimize this process through automation.
Many AI tools designed to aid in data analysis rely on this technology’s ability to skim through large volumes of data in mere seconds. Thus, accelerating the process and improving its efficiency are the two main benefits you may experience from implementing it.
Alongside its natural language processing abilities, AI can understand and interpret your data to extract key information. Moreover, its machine and deep learning algorithms can identify patterns and detect complex relationships you may otherwise miss with traditional analysis methods. This allows you to simplify and scale trends while uncovering valuable insights without relying on manual research.
Now that we’ve elaborated on the use and benefits of AI data analysis, we want to showcase some of the data analytics tools we’ve found online. Focusing on both functionality and unique features, the top 9 AI tools for data analysis are the following:
One of the best AI data analysis tools we recommend you to try out is User Evaluation. This platform acts as an all-in-one AI tool for fast and efficient customer research. It’s designed to help businesses uncover valuable user insights with the help of an automated data analysis process.
By identifying the key pain points and areas of improvement, you can then create sophisticated reports and presentations to make data-driven decisions and further optimize your business operations. Whenever you feel stuck during the research and analysis process, you’ll be able to rely on the intelligent AI chat to give you additional context and turn your data into visual representations. But what makes User Evaluation stand out from the rest of the competition? Here are some of the features you can expect when using this platform.
User Evaluation offers a wide range of AI tools and features you can use to optimize your data analysis process. First, it can quickly transcribe your research materials from video, audio, text, and CSV files. Since it’s designed to support 57 languages, you can gain a clear and concise overview of your data, regardless of its primary content form.
Next, you can quickly generate insights from your content either with the help of AI or manually. You can choose between various insight templates that best fit your research and data analysis process. Once you’ve gathered the needed insights, you can add them to collections organized in a tidy Kanban board for further analysis.
Furthermore, you can add tags and notes to important parts of your research to further organize it. This way, you can always revisit your previous findings and continue your analysis from where you left it off. If you want to decipher the customer’s feelings towards your product, you can use the sentiment analysis feature to gain insight into positive, negative, and neutral interactions.
Once done with the research, you can create detailed AI-generated reports and presentations in one click and share them with your colleagues and clients.
Website
Pricing
Freemium
Free trial
Free plan available
The second AI tool for data analysis you should know of is Julius. Similar to User Evaluation, this platform utilizes artificial intelligence to interpret and analyze complex data and visualize it in a simple user-friendly manner. These visualizations can be then shared with your teammates and used to make data-informed decisions.
So, what features does Julius offer to make it a top-grade data analysis tool? First, this AI tool for data analysis allows you to import your research data from various sources, including Spreadsheets, Postgres databases, and Google Sheets, while also supporting PDF, image, and written content.
Once you’ve uploaded your data, you can turn it into detailed and concise visualizations to help during your research. Since Julius is designed to support various plot types, you can choose between the following:
If you need help during the data analysis process, you can turn to Julius’ AI chat to help you with interpretation. Since it uses natural language processing, it can analyze your data and sort it based on your instructions.
When you’re done with your analysis, you can quickly export your new findings through a link generated on the platform. This way, you can easily share the data with your team for further research.
Website
Pricing
Freemium
Free trial
Available
Another AI product that has gained popularity for its data analysis features is Tableau. Similar to Julius, this AI-powered analytics platform excels in creating detailed visualizations from your data and has numerous features to aid in the research process. Since it includes multiple tools under the same name, it can be used both for data analysis and cloud services.
As mentioned, Tableau offers various features to help ease the data analysis process. First, this AI tool can create detailed visuals from different data sources. Since it’s able to generate various graphs, maps, and diagrams, some of the most used options are:
Next, this platform is highly prized for its data blending capabilities because you can include data from multiple sources into a single project. This allows you to seamlessly compare data and draw detailed conclusions from it. Whenever you need help contextualizing data, you can use augmented analytics to ask specific questions, and the platform will use natural language processing and machine learning algorithms to create easy-to-understand explanations.
Some features that focus more on the analysis process are trend analysis and forecasting. Alongside the statistical tools, you can create AI-powered predictions, useful for what-if scenario planning. Furthermore, it also supports complex computations and dashboarding while maintaining a user-friendly and easily navigable interface.
Lastly, Tableau emphasizes the importance of collaboration and sharing with tools like Tableau Server and Cloud, designed to quickly store and share your data and findings with the rest of your teammates.
Website
Pricing
Tableau Viewer: $15 per month
Tableau Explorer: $42 per month
Tableau Creator: $75 per month
Free trial
Available
Next, we have the Polymer AI tool for data analysis, specializing in creating thorough and easy-to-navigate dashboards from your data. The main goal of this platform is to allow their users to explore, visualize, and present their data quickly and with confidence. To ensure accessibility, using this tool doesn’t require any previous knowledge of coding.
As mentioned, Polymer utilizes AI technology to analyze data gathered from multiple sources and help users gain a better understanding of it. Since it offers various integrations with platforms such as Facebook, Google Ads, and Shopify, you can easily import data from spreadsheets, databases, and third-party applications.
Once you’ve uploaded your data, you can transform it into clear and compelling dashboards that you can share with your colleagues. If you need help organizing your data, you can use one of Polymer’s pre-built dashboard templates to start off. The numerous customization features allow you to visualize your data based on your needs. Moreover, if you’ve already connected a specific data source, the platform will automatically update your dashboards with the latest information.
During the analysis process, you can utilize Polymer’s AI chat to get answers regarding business critical questions and generate insights that help in patterns and correlation identification. Furthermore, it offers explanations for each chart or graph within your dashboard for a more thorough and efficient analysis.
Same as the previous platforms, Polymer also offers an easy sharing option. All you need to do is access the specific dashboard you want to share and create a link for it.
Website
Pricing
Starter: $25 per month
Pro: $50 per month
Teams: $125 per month
Free trial
Available
Another AI-powered platform you can look into is MonkeyLearn. This data analysis AI tool specializes in no-code text analytics and can be used to clean, label, and visualize customer feedback. Besides interpreting text and data, it can also extract insights from your unstructured text and rearrange its data.
Similar to the previous AI data analytic tools, MonkeyLearn offers multiple features to aid in the process. First, since it’s designed to act as an all-in-one text analysis and data visualization platform, you can create custom charts and visualizations in a matter of seconds. You can also combine and filter select data from multiple sources for easier comparison and thorough analysis. Furthermore, you can include custom fields and dates to organize your workplace based on your needs and circumstances.
One unique feature that MonkeyLearn offers is its pre-built and custom machine learning models. Since it’s a no-code platform, all you need to do is define your custom tags and choose your topic classifiers and entity extractors to train the model based on your needs.
The next feature that this tool offers is the business templates, designed for various business scenarios. They include pre-made text analysis models and dashboards to accelerate your research process while also providing valuable insights. Some of the options they offer are the following:
Website
Pricing
$299 per month
Free trial
Available
The next AI tool for data analysis you can try out is KNIME. This open-source platform specializes in data science and offers an intuitive, drag-and-drop interface. It can be used as an extensive toolkit for data analysis with the ability to train and apply machine learning models.
The first feature KNIME offers is the ability to automatically generate workflows with the help of their AI assistant. Besides eliminating repetitive data, this platform also allows you to access and blend data from multiple sources. Furthermore, KNIME offers easy integration with multiple platforms for a more efficient data collection process.
Another unique feature that this AI tool offers is the ability to sort, filter, and transform your data, regardless of its file format. Once you’ve uploaded your desired content, you can extract meaningful information and insights through interactive charts and visualizations. Alongside the vast range of analytic techniques, you’ll also have the opportunity to automate your spreadsheets and certain repetitive data tasks that require manual efforts.
Lastly, KNIME encourages its users to extend the platform's capabilities by implementing custom functionalities through their coding knowledge. Since it’s an open-source tool, you can integrate scripting in Python and Javascript, and bundle specific parts of your workflows as components for future reuse.
Website
Pricing
Team plan: $99 per month
Basic: $35,000 per year
Standard: $65,000 per year
Enterprise
Free trial
Free personal plan
Qlik is another amazing AI tool designed to help data analysts make sense of their data. Similar to Tableau, it offers multiple tools under the same name, each with its own use during the data analysis process. Thus, it's designed to support each step of your journey, whether it’s data integration, transformation, or analysis, to achieve positive outcomes.
In the first step of your analysis, Qlik allows you to store, manage, and process your data in their end-to-end cloud portfolio. Since the platform is capable of real-time data integration, you can improve your data’s availability with the agentless, log-based data capture approach.
Once you’ve uploaded the raw records, you can transform them into analytics-ready data. Thanks to the Qlik Analytics option, you can quickly search from your data and gain valuable insights. By also providing a ChatGPT-like experience, the platform aims to amplify the power of your data.
One of the best features Qlik offers is the automation processes. The platform allows you to automate certain actions with complex criteria by leveraging data insights. Furthermore, you can quickly generate the desired machine-learning models by simply selecting a target field within your data set.
Lastly, Qlik allows you to share the data and findings with your colleagues in a secure environment.
Website
Pricing
Standard: $825 per month
Premium: $2,700 per month
Enterprise
Free trial
Available
The eighth spot on this list is reserved for Akkio. This AI analysis tool acts as a no-coding platform and is designed to be easy to use even for those just starting with data analytics. It offers multiple forecasting and business analytics features to ease the research process and predict potential outcomes.
So, what makes Akkio one of the best AI data analysis tools? First, this platform allows you to integrate your data from various sources, which it then automatically updates for you. To better organize your workplace, you can remove unwanted fields, merge files, and add or remove columns.
During the analysis phase, you can utilize the platform’s predictive AI engine to discover hidden insights. Alongside the Chat & Chart option, you can turn these strategic and actionable insights into visuals and reports. Thanks to the live auto-refreshing feature, you can easily showcase your findings to your clients and keep up with the latest changes.
Furthermore, Akkio is designed to support thorough predictive analysis and aid in making data-informed marketing decisions. Some of the options available on the platform are the following:
Lastly, this AI data analysis tool allows you to create custom dashboards from which you can present your findings with real-time data.
Website
Pricing
Basic: $49 per month
Pro: $99 per month
Build-on package: from $999 per month
Enterprise
Free trial
Available
The last AI tool for data analysis we want to highlight is AnswerRocket. Designed as an AI assistant for enterprise analytics, this platform aims to give elaborate and comprehensive answers to your business questions. Alongside their GenAI Analytics Platform, you can supercharge your analytics capabilities and drive fast and efficient results.
The main feature that AnswerRocket offers is their intelligent AI Chat named Max. Once you’ve uploaded your desired data, you can ask specific business-related questions, and the artificial intelligence will give you detailed answers based on your content.
One unique aspect of this AI chat is that you can appoint a selection of “Skills” to further expand its analytics capabilities. Within the designated “Skill Studio”, you can prompt the AI to generate visuals, insights, and answers based on specific datasets. This ability to create purpose-built AI assistants can automate numerous analytical tasks while also allowing you to manage permissions based on your needs.
Furthermore, AnswerRocket’s analytics platform is capable of running diagnostic, predictive, and prescriptive analysis. Its advanced data processing abilities can be accompanied by various data visualizations to better understand your findings. Besides the seamless data integration process, this platform offers flexible outputs where you can customize the language, insights, and visualizations.
Website
Pricing
Customized pricing
Free trial
Demo available
After exploring the best AI data analysis tools, it’s important to know how to choose the most beneficial ones for your company. While there are numerous options found online, we always recommend you choose the ones that offer the necessary features to help you reach your business goals. That being said, here’s what you should focus on when choosing the right AI tools for data analysis:
After discovering the top 9 AI tools for data analysis, remember that you should always choose the ones most suitable for your business needs. While most of these platforms require little to no coding experience, each of them has a unique set of features designed to aid in your data analysis process. With options such as predictive and sentiment analysis, building custom machine learning models, and generating compelling visuals from your data, you can automate most of your manual labor.
So, if you’re ever in need of the ideal AI research assistant, check some of these platforms out and discover how you can turn raw data into compelling reports and presentations!