What is Dot - Chat with your Data?
Tired of waiting days for answers to simple data questions? Dot, the AI-powered data bot, is here to transform how your business interacts with data. Whether you're a business stakeholder or a data team member, Dot makes analytics self-service a reality, freeing your team to focus on high-impact tasks while answering ad-hoc requests in seconds.
Why Dot?
Dot is more than just a chatbot—it’s your intelligent data assistant, designed to:
Answer business questions instantlyin plain English or multiple languages.
Analyze data directly in Slack or Teams, so you don’t need to switch tools.
Ensure accuracywith a built-in training space that prevents hallucinations.
Integrate seamlesslywith your existing tech stack, from Snowflake to Looker, with no-code setups.
Key Features
🔍 Instant Insights
No more waiting weeks for reports. Dot delivers answers in seconds, not days.
🤖 AI-Powered Analysis
Leverage advanced AI to analyze anything—from sales data to marketing ROI—without needing technical expertise.
🔒 Enterprise-Ready Security
With SOC 2 Type I compliance, role-based permissions, and row-level security, your data stays safe and secure.
📊 No-Code Integrations
Connect Dot to your favorite tools like Snowflake, BigQuery, Redshift, and more—no coding required.
How Dot Works for You
Ask in Plain English
Need to know your sales performance or marketing ROI? Just ask Dot in Slack or Teams.Get Trusted Answers
Dot uses your existing data stack and business logic to provide accurate, consistent results.Focus on What Matters
Free your data team from repetitive questions so they can tackle deep, strategic work.
Use Cases
📈 Sales & Profit Analysis
Quickly analyze order data from your e-commerce store to track performance trends.
📊 Marketing ROI Evaluation
Chat with Dot to measure the return on your marketing campaigns in real time.
👥 Usage Analytics
Monitor user activity on platforms like Hacker News to understand engagement.
Trusted by Teams Worldwide
Dot is already helping businesses like yours bridge the gap between data and decision-making. As Marcus Bernardi, Head of Data and Analytics at Daki, puts it:
"Through the blend of AI and our existing BI structures, we managed to bridge a crucial gap, allowing data to seamlessly integrate into the micro-decisions that shape our business every day."
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