The 10 Best AI Data Analytics Tools for 2024
The new kids on the block are outplaying the long-established by far.
Written by
Last updated
Lili Marocsik
April 16th, 2024
Data analysis lays the groundwork for improving operations, understanding customer behaviour, and optimizing strategies for growth based on your collected data.
Data Analytics AI 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, it’s a great data analytics AI assistant.
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.
AI Data Analytics tool Comparison
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interview with Rahul Sonwalkar, CEO of Julius AI
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 — the biggest struggle is getting users to explain their tasks thoroughly, without leaving out or skipping over key details.
How do big players like Power BI, Looker and Tableau compare to the AI data analytics tools?
Let’s take a look!
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.
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