The 10 Best AI Data Analytics Tools for 2024

The new kids on the block are outplaying the long-established by far.

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Hasan Shaukat Data Scientist reviewing AI Data Analytics tools

Hasan Shaukat

August 23rd, 2024

Data analysis lays the groundwork for improving operations, understanding customer behaviour, and optimizing strategies for growth based on your collected data.

AI data analytics tools suggest angles for analysis and learn with you as you go, like the software from polymer.

Unsure which metric to use on which axis? Just ask ChatGPT, itā€™s a great data analytics AI assistant.

Also, our review contains a few affiliate marketing links. If you purchase any of the tools, we might receive a small commission.

Hasan Shaukat Data Scientist reviewing AI Data Analytics tools

Spoiler Alert

AI is now running SQL queries and python scripts on our data.

In some platforms it gives visual outputs along with an explanation, in others it gives a natural language response to our questions.

AI driven data analytics landscape is ready to use for small businesses, and can be used as part of analytics for large businesses. It's only a matter of time when these platforms will do no code prompt-based analytics at scale for large companies.

The big players like PowerBI, Tableau, Looker, though not yet equipped with AI, will soon include AI chat assistants and will change the data analytics landscape once again.

We still made an effort and compared those big companies to new up and coming AI data analytics stars on the horizon like Polymer or Julius AI in our extensive review.

Data Analytics AI Tools Comparison Winner

AI Data Analytics tool Comparison

1

Setup/Onboarding

5/5

User Experience

5/5

Tool Performance

5/5

Overall score:

5/5

Use Cases

Give your agency a competitive edge with AI. Here are some ways that Akkio can help support your clients ā€“ from predictive analytics to automated reporting.

Support

Chatbot

Key Features

  • Data Analysis
  • Data Interaction
  • Decision Making Modeling
  • Data Visualizations
  • Report Generation
  • Generative AI Text Generation
  • Collaborative editing in Reports by giving edit access
  • Multiple reports within a project
  • Shareable charts
  • Integrated predictive models
  • Powerful embedding feature
  • Chat in Reports
  • Enhanced sharing for Reports
  • Insights in Reports
  • Tabbed Reports
  • Enhanced Sharing for Reports
  • Embeddable Reports
  • Insights in Reports
  • Prompt Interpretation Visibility
  • Detailed Chat Explanations
  • Improved Text Responses
  • Efficient Lead Scoring
  • Quick Conversion Insights
  • Rapid Ticket Forecasting

Pros & Cons

Pros:

  • Natural language based data cleaning and wrangling
  • Natural language based data cleaning and wrangling
  • Able to understand metrics and automatically create derived metrics to answer questions
  • Can give visualizations to answer questions. Each visual can be added to a dashboard
  • Whitelabel your agency brand on the dashboard, chat, deployed model

Cons:

  • Limited to one table per project/scenario
  • Needs aggregate tables for best utilization
  • Dashboarding section is primitive, underdeveloped

Price Point

Basic
$49
Pro
$99
Free Trial
14 days free

Conclusion

A superb tool that does extensive data analyst and data scientist work just with natural language.

2

Setup/Onboarding

5/5

User Experience

5/5

Tool Performance

4/5

Overall score:

4.75/5

Use Cases

Ideal for small businesses. Create visualizations, build dashboards, and present your data like a pro ā€” in minutes. Super easy data integration saves nerves and time.

Support

1:1 onboarding session

Key Features

  • Reusable custom elements
  • AI suggestions for analysis
  • Data binding
  • Component-based architecture
  • Board designer
  • Embedded Analytics

Pros & Cons

Pros:

  • AI suggested dashboard auto creation
  • AI chat in the dashboard page answers questions and gives suggestions for further visuals

Cons:

  • Lack of depth, can't create derived metrics on it's own to answer questions

Price Point

Starter
$20/month
Pro
$40/month
Enterprise
from $500/month
Free Trial
14 days free Pro (unlimited connections, visualisations and templates)

Conclusion

A great tool for a small business to monitor performance and understand from data

3

Setup/Onboarding

5/5

User Experience

5/5

Tool Performance

3/5

Overall score:

4.25/5

Use Cases

Streamlines customer support operations by automating responses to common queries through natural language understanding and machine learning, improving response time and efficiency.

Support

Chat

Key Features

  • Natural Language Processing (NLP)
  • Data Analysis and Insights
  • Personalized Recommendations
  • Automation and Task Management
  • Predictive Analytics
  • Integration with External Systems
  • Customizable Workflows
  • Analyze Datasets
  • Create charts and plots
  • perform computations
  • apply statistical methods like regression, forecasting, PCA

Pros & Cons

Pros:

  • Able to make detailed visualizations upon user request

Cons:

  • No holistic dashboarding
  • Conversational AI sometimes give wrong answer compared to the visualization

Price Point

Basic
$17.99 per month with 250 messages
Free Trial
15 free messages per month

Conclusion

A good tool for an analyst for deep-dive analyses Also available as a plugin on ChatGPT Plugins "Chat with your Data"

Julius - Free AI Math  Solver

interview with Rahul Sonwalkar, CEO of Julius AI

Spilling the digital beans on AI by Rahul Sonwalkar

Any tips, tricks or hacks regarding the use of AI?

Prompt like you are speaking to a human with no context of what is going on. Don't assume the models can read your mind! We often see this with Julius ā€” the biggest struggle is getting users to explain their tasks thoroughly, without leaving out or skipping over key details.

4

Setup/Onboarding

5/5

User Experience

4/5

Tool Performance

3/5

Overall score:

4/5

Use Cases

Connect, prepare, analyze your data, and get deep, actionable insights.

Support

Community Forums, Knowledge base

Key Features

  • Data Preparation and Management
  • Visual Analysis
  • Augmented Analytics
  • Unified Business Insights
  • Collaborative Analytics
  • Data Storytelling
  • Embedded BI
  • Mobility
  • Deployments

Pros & Cons

Pros:

  • Easy setup
  • Default dashboards are good for basic analytics

Cons:

  • Chat based information retrieval is trivial, not LLM based
  • AI can't go beyond basic aggregations

Price Point

Standard
$800 yearly (billed monthly)
Professional
$1400 yearly (billed monthly)
Enterprise
$2400 yearly (billed monthly)
Ultimate
$2600 yearly (billed monthly)
Free Trial
30 days free trial

Conclusion

A good tool for basic dashboarding for non-technical people, especially when they're using the rest of the Zoho Suite

5

Setup/Onboarding

3/5

User Experience

4/5

Tool Performance

5/5

Overall score:

3.75 / 5

Use Cases

Ideal for marketing teams that require robust reporting and analytics capabilities to track the performance of their online marketing campaigns across various platforms.

Support

Help Center & Email support

Key Features

  • Data integration and automation
  • Connecting to various data sources
  • Data transformation and cleansing
  • Scheduled data imports
  • Performance tracking and reporting
  • Marketing dashboards

Pros & Cons

Pros:

  • Ease of use
  • Modular pricing

Cons:

  • Integrations not always working
  • Single plan very limited

Price Point

Single
$15
Business
$40
Pro
$100
Enterprise
$295
Free Trial
14 days, without credit card
hellobonsai

6

Setup/Onboarding

3/5

User Experience

4/5

Tool Performance

4/5

Overall score:

3.75 / 5

Use Cases

For businesses that need to integrate data from multiple marketing sources seamlessly, so data from sources like advertising platforms, eCommerce, and web analytics is collected and organized efficiently.

Support

Help Center & Email support

Key Features

  • Multi-channel data collection
  • Data normalization and mapping
  • Marketing attribution
  • Automated data enrichment
  • Customized reporting and analytics
  • +500 integrations
  • Data cleaning automation

Pros & Cons

Pros:

  • Good customer support

Cons:

  • No scheduling function
  • Limited functionality across marketing services

Price Point

Free
$0 with limited features
Starter
$360
Free Trial
available (length not specified)
fireflies

How do big players like Power BI, Looker and Tableau compare to the AI data analytics tools?

7

Setup/Onboarding

1/5

User Experience

3/5

Tool Performance

3/5

Overall score:

2.25 / 5

Use Cases

Advanced data analytics tool for enterprises with solid but a bit outdated dashboards.

Front runner for AI innovation.

Support

Large variety for higher plans

Key Features

  • Data visualization and exploration
  • Interactive reports and dashboards
  • Integration with Microsoft ecosystem
  • Data modeling & transformation
  • Natural language queries

Pros & Cons

Pros:

  • Solid and high variety of features

Cons:

  • Unspecified error messages
  • Overall data complications

Price Point

Pro
$10 / per user
Premium
$20 / per user
Free Trail
Only available with company email

8

Setup/Onboarding

2

User Experience

2

Tool Performance

1

Overall score:

1.75/5

Use Cases

As an analytics platform, Qlik facilitates real-time monitoring of key performance indicators, allowing organizations to quickly adapt to market changes and optimize operational performance.

Support

Customer support, Training & Webinars

Key Features

  • Data Visualization
  • Data Integration and Connectivity
  • Advanced Analytics
  • Collaboration and Sharing
  • Mobile Access and Offline Analytics
  • Security and Governance
  • Qlik Answers

Pros & Cons

Pros:

  • Capable of processing complex datasets
  • Has data engineering and modeling ecosystem

Cons:

  • No AI is being used to analyze data
  • Very complex to navigate setup

Price Point

Standard
$20/user/month
Premium
$2700/month
Free Trial
on request

Conclusion

Still a traditional data analytics platform with a large overhead learning cost

9

Setup/Onboarding

2/5

User Experience

3/5

Tool Performance

4/5

Overall score:

3 / 5

Use Cases

Advanced data analytics tool, ideal for enterprises and many collaborators seeking powerful data insights. Its extensive visualization capabilities make it a preferred choice for big businesses, provided users are willing to invest time and effort into mastering it.

Support

Large variety for higher plans

Key Features

  • Data visualization
  • Interactive dashboards
  • Data exploration
  • Integration with various data sources
  • Collaborative analytics
  • Automatic updates
  • Smart Dashboards
  • CRM analytics

Pros & Cons

Pros:

  • Best data visualisation

Cons:

  • Complex onboarding

Price Point

Viewer
$15 / per user
Explorer
$42 / per user
Creator
$75 / per user
Free Trail
Application required

10

Setup/Onboarding

1/5

User Experience

2/5

Tool Performance

2/5

Overall score:

1.75 / 5

Use Cases

Advanced data analytics tool, which requires data sets to be provided in an optimal way to work flawlessly.

Support

Large variety for higher plans

Key Features

  • Data exploration and discovery
  • Interactive dashboards
  • Real-time analytics
  • Data modeling & transformation
  • Embedded analytics

Pros & Cons

Pros:

  • ?

Cons:

  • If data is not prepared the optimal way, very long loading times
  • Colours not always assigned correctly

Price Point

Viewer
$30 / per user
Standard
$60 / per user
Developer
$125 / per user
Free Trial
Application required
Hasan Shaukat Data Scientist reviewing AI Data Analytics tools

About the author: Hasan Shaukat

A crazy nerd babbling about the outer space and quantum worlds, apart from that, a Marketing Data Scientist with 6 years of experience.

Hasan worked with web tracking data, customer and market response modeling, text mining, LLMs, and Data Products.

Connect with him on Linkedin if you like.

FAQ Data Analytics

What are the key considerations for selecting a data analytics tool? 

When choosing a data analytics tool, the process is similar to selecting a smartphone - it should align with specific needs and offer ease of use. Here are a few key points to consider:

  • Data integration capabilities 

  • User-friendliness

  • Scalability to grow with your business

What are some top analytics tools?

The selection of an analytics tool depends on requirements and objectives. Some businesses require tools for quick, visual reports, while others need robust systems to process large amounts of complex data. Leading solutions include Akkio with its no-code AI analytics, Polymer for intuitive dashboards and visualizations, and Julius AI for marketing-focused insights. The most suitable tool aligns with specific business needs.

What's the best data analytics software for small businesses?

Consider essential requirements ā€“ whether simplicity or advanced features are priorities. Factor in the time available for system learning and compatibility with existing business tools. For example, Polymer offers AI capabilities for automated analysis, while ZOHO Analytics integrates effectively with other Zoho products for connected operations.