10 Best Generative AI Tools for Data Analysis in 2024

Do you want to make your data analysis even more intuitive and insightful? In the fast-paced world of technology, generative AI tools for data analysis are setting the way for revolutionary advancements. These tools use the power of artificial intelligence to not just analyze data but also to generate valuable insights into your data, opening new doors of possibility for both businesses and researchers.

In this article, we’ll explore the top best generative AI tools for data analysis in 2024, discovering how they’re reshaping the way decision-making is done in a data-driven world. So if you are someone dealing with lots of locked data then this article is your key.

1. Tableau

Tableau stands out as a popular Generative AI Tools for Data Analysis in 2024. This American startup was founded in 2003 and excels in helping users effectively organize and present large amounts of data. Tableau is best for individuals and businesses looking for a Generative AI Tool for Data Analysis that makes complex data simple through ready-to-use dashboards, without requiring coding skills.

Link: https://www.tableau.com/

Features:

1. Gives access to Ready-to-use dashboards.
2. Summarizes data in an understandable way.
3. Facilitates the development of relationships within the data.

Pros	Cons
No coding skills required. Provides with an user-friendly interface.	No option to retrieve previous versions of data. Expensive tool for large companies.

Pricing Plans:

• Free Trial
• $70 per user/month
• $42 per user/month
• $15 per user/month

2. Qlik

Qlik is a Generative AI Tools for Data Analysis founded in 1993 in America. It uses an associative data model thus ensuring that users could derive meaningful insights without hassle. So if your business is seeking to find art in the bulky data then this tool is for you.

Link: https://www.qlik.com/us

Features:

1. Drag and drop for data analysis.
2. Provides commentary for displayed data.
3. Automatic connection of related data.

Pros	Cons
Flexible data visualization. Enables collaboration and sharing of insights.	Dependency on JavaScript may limit accessibility. Limited features in the mobile application.

Pricing Plan:

• Free trial available
• $20 per user/month
• $2,700 per user/month
• Customisable plan for enterprises.

3. Looker

Looker powered by Google Cloud is a 2012 Generative AI Tools for Data Analysis. It is commonly used for the purpose of making interactive reports and to work together on data using google cloud.Looker is best for teams and businesses in search of a Generative AI Tool for Data Analysis that facilitates shared exploration, self-service BI, and updated data boards.

Link: https://cloud.google.com/looker?hl=en

Features:

1. Provides self-service BI for data exploration.
2. Cloud storage is used for data.
3. You can schedule report updates for performance tracking.

Pros	Cons
It keeps the data boards updated. Quick and effective customer support.	Time-consuming loading of reports. Can have problems while dealing with complex set of data.

Pricing Plans:

• Provides free trial.
• $5,000/month
• Can be communicated and decided.

4. Sisense

Sisense is a Generative AI Tools for Data Analysis which is based in Israel. It was formed in 2004. Most of its users are small and medium businesses. The previously well known periscope data has now been integrated with this tool.

Link: https://www.sisense.com/

Features:

1. Provides catchy visuals of data.
2. The data can be exported to PDF, Excel, Images, CSV and other formats.
3. Provides drag and drop feature.

Pros	Cons
Reduces the need to use multiple tools. Can scale with growing business needs.	Difficult to learn its advanced features. Limited number of native connectors.

Pricing Plan:

• Provides free demo
• Price decided based on authors.

5. Domo

Domo is a friendly Generative AI Tool for Data Analysis. It helps businesses easily understand and use their data, making insights quick and simple. Perfect for anyone who wants smart data assistance.

Link: https://www.domo.com/pricing

Features:

1. Provides catchy visuals of data.
2. Exports data to PDF, Excel, Images, CSV and other formats.
3. Provides drag and drop feature.

Pros	Cons
Reduces the need to use multiple tools. Can scale with growing business needs.	Difficult to learn its advanced features. Limited number of native connectors.

Pricing Plan:

• Provides free version
• Standard: $300/month
• Price can be decided based on the requirements of the project.

6. Mode Analytics

Mode is a quite liked Generative AI Tools for Data Analysis, made to assist entrepreneurs and businesses, especially in the technological field. It’s a hit among data analysts and scientists. People use it for quick analyses, checking vital business parts, and creating personalized reports.

Link: https://mode.com/

Features:

1. Analyze data with SQL, Python, and R easily.
2. Collaborate smoothly with your team on the same platform.
3. Create and style capturing visuals effortlessly using CSS or JavaScript.

Pros	Cons
Free trial and a free version for individual data analysts. Ideal for startups and organizations dealing with various data sources. Cloud-based, ensuring easy setup and accessibility, especially beneficial for startups.	Challenges in importing data onto third-party clouds, raising privacy and security concerns. Advanced filters are not user-friendly. Challenging to organize reports, impacting the overall management experience.

Pricing:

• Free version available
• Pricing is decided based on company size and usage.

7. MonkeyLearn

Monkeylearn is a San Francisco based Generative AI Tools for Data Analysis founded in 2014. This tool is very flexible and is primarily used for analyzing text and data. The main task this performs is extracting valuable insights from unstructured text.

Link: https://monkeylearn.com/

Features:

1. Create and test custom ML models.
2. Gives access to pre-trained models.
3. Provides API and SDKs when using popular programming languages.

Pros	Cons
Excellent for gaining insights from text data. Does not need coding experience to use.	Limited efficiency beyond text data. Effectiveness depends on input quality.

Pricing:

• Free version available
• MonkeyLearn API: $299/month with 10k queries/month
• MonkeyLearn Studio: Contact MonkeyLearn for pricing

8. Polymer

Polymer is one of the Generative AI Tools for Data Analysis which is famous because it provides easy to use services. Many tasks which include everything from creating data visuals to creating presentations from data can be done on this tool without using any codes.

Link: https://www.polymersearch.com/

Features:

1. Can be integrated with many data sources like google ads etc.
2. Creates interactive and searchable spreadsheets
3. Work with team members using shared dashboards.

Pros	Cons
Can be easily used by non technical people as well. Gives Real time updates about data.	There is no mobile application provided. Some crucial information is lacking in the website.

Pricing Plan:

• Free trial available
• $10/ month
• $20/ month
• Custom pricing available.

9. Akiko

Akiko was founded in 2019 and is a MA based technology company. When exploring the best Generative AI Tools for Data Analysis akiko stands as one of the tools providing some excellent features. Akiko is best suited for individuals and businesses seeking a Generative AI Tool for Data Analysis with future insights, collaborative features, and adaptability across industries.

Link: https://www.akkio.com/

Features:

1. Gives future insights about data.
2. Hassle free integration with currently using tools.
3. Collaborative work with teams could be done.

Pros	Cons
Could be used even without coding experience. Can fit the needs of diverse industries.	Problem in handling large and complex databases. Does not provide much flexibility and customisation options.

Pricing Plan:

• Free trial available
• $49 per user/month
• $99 per user/month

10. Yellowfin BI

Yellowfin is a tool made in the year 2003 to bring solutions to a market of high cost, complexity, and ineffectiveness of analytics tools. If you are looking for an Generative AI Tools for Data Analysis which helps you act faster by quickly and efficiently analyzing the opportunities buried in your data then yellowfin BI might be the right choice for you.

Link: https://www.yellowfinbi.com/

Features:

1. Transforms organization data flow into engaging and informative narratives.
2. Creates captivating visuals for dashboards, stories, and presentations effortlessly.
3. Quickly explores, find patterns, and share business insights.

Pros	Cons
Works quickly with great efficiency Could be used without a thorough training	May face difficulty in generating reports Does not provide cloud storage.

Pricing:

• Free version available
• Price can be flexibly decided as per needs.

Best Generative AI Tool for Data Analysis

In 2024, Microsoft Power BI stands out as the best Generative AI Tool for Data Analysis. This tool makes you feel like having an amazing and intelligent assistant for your data. First of all, it’s super easy to use, you don’t need to be a technology enthusiast to use it. You can create desirable reports and dashboards just by dragging and dropping. Perfect for people who want quick insights without hassle.

The strength of Power BI lies in its ability to connect with different data sources effortlessly. It makes sure nothing gets left out. Businesses, be it big or small can benefit. It’s not just about understanding data, it’s about making smart decisions based on that data.

The best thing is that it’s part of the Microsoft family, so if you’re already using Microsoft data, it fits with your user preferences. It’s the perfect match you can find. Plus, it’s cloud-powered, meaning you can access your data from anywhere.

Conclusion

When talking about data analysis, 2024’s best Generative AI Tool for Data Analysis offers diverse features for businesses and researchers. From user-friendly Tableau to collaborative Looker and versatile MonkeyLearn, each tool caters to unique needs.

Choosing the right tool involves considering factors like data complexity, automation, and scalability. Microsoft Power BI, with its simplicity, data source integration, and affordability, stands out. Yet, options like Mode Analytics, Sisense, and Akkio are also there to provide valuable alternatives. In the competition driven world it becomes important to find a tool that aligns with your specific requirements, ensuring you make informed decisions efficiently.

Best Generative AI Tools for Data Analysis – FAQs

What is a generative AI tool for data analysis?

Generative AI Tools for Data Analysis create insights, organizing and presenting data effectively. They simplify complex analytics tasks.

What is the best AI tool for data analytics?

The best Generative AI Tool for Data Analysis depends on needs; Tableau, Microsoft Power BI, Qlik are popular choices. You can choose one as per your need.

Which AI tool can Analyze Excel data?

Generative AI Tools for Data Analysis like Tableau and Looker can analyze Excel data efficiently.

What is the fastest growing AI tool?

The fastest-growing Generative AI Tool for Data Analysis varies, with Tableau, Looker, and Qlik having shown significant growth in popularity.