Business intelligence, notebooks, data platforms and conversational analysis
Top 10 AI Tools for Data Analysts
The AI tools data analysts are using to query data, build reports and answer questions in plain English. Each entry links to the maker's site.
An editorial selection, not a ranking from independent testing. AI can write queries that run but answer the wrong question, so check the logic and the numbers before sharing results, and follow your organisation's rules on what data may be uploaded.
1
What it does
A business intelligence platform for building reports and dashboards, with Copilot to create visuals and summarise data.
Why it matters
The most widely used reporting tool in organisations that run on Microsoft.
2
What it does
A data visualisation platform for exploring data and sharing dashboards, with agentic analytics features.
Why it matters
Long regarded as the best tool for visual analysis, and now part of Salesforce.
3
What it does
A general AI assistant that can analyse uploaded spreadsheets and data files, write code and draw charts.
Why it matters
The quickest way to explore a dataset or get help writing SQL and Python.
4
What it does
An AI workspace for analysing data by chat, producing charts, models and reports.
Why it matters
Lets people who do not code carry out real analysis on their own files.
5
What it does
A collaborative analytics platform combining notebooks, dashboards and AI agents that write and run analysis.
Why it matters
Popular with data teams that want SQL, Python and sharing in one place.
6
What it does
A data and AI platform, with Genie, which lets users ask questions of company data in plain English.
Why it matters
Used by large organisations to keep data, analytics and machine learning together.
7
What it does
A cloud data platform for analytics and applications, with built-in AI agents for coding and analysis.
Why it matters
One of the main cloud data warehouses, so its AI works where the data already lives.
8
What it does
Google's cloud data warehouse, with Gemini to write queries, prepare data and answer questions.
Why it matters
Handles very large datasets without servers to manage, and connects to Google's other tools.
9
What it does
An analytics platform built around search, with Spotter, an AI analyst that answers questions about your data.
Why it matters
Aimed at letting business users get answers without waiting for an analyst.
10
What it does
A platform for preparing and blending data and automating analysis workflows, now with AI agents.
Why it matters
Popular with finance and operations teams that repeat the same analysis each month.