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AI Analytics Built Into Our Platform
Not Bolted On

Most teams treat AI as a separate step. You export your data, paste it into a chat tool, and get an answer that has no connection to the live dashboard your stakeholders are already watching. ClicData does it differently.
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Build your dashboards with our AI Assistant

Building a fully operational dashboard has never been easier. Describe metrics, filters, modify on the fly without opening a single configuration panel. 
Just using plain English. 
Discover AI Dashboard Builder

Ask AI in your Dashboards

Your dashboard viewers should not need to be analysts to get answers. The Ask AI widget drops a conversational interface directly onto any dashboard you build. You connect the relevant datasets, write a pre-prompt that defines what users can ask, and publish.

A franchise operations manager can type "which locations missed their labour cost target last week?" A sales lead can ask, "Which deals are at risk based on the last activity date?" The AI queries only the data you have scoped; nothing outside that boundary is accessible, and nothing is transmitted externally.

Security is set per dataset. The widget knows the limits you define. Your users get self-service answers; your data team fields fewer ad hoc requests.
Use our Ask AI widget

Charts that write their own summary

Narrative analytics

Not all charts convey the right message and how you build them is sometimes a mix of art and science.

Instead of just displaying the charts the way you feel it should be shown, natural language descriptive analytics can be integrated into your dashboard widgets to summarize and explain the visualization.

The tone, detail and level can be adjusted via pre-prompting to suit your user base.
Read data with AI

Natural language queries right from your Data Tables

We integrated the best LLMs to enable you to query any data table in natural language, optimizing for performance and costs. None of your data is sent to these tools. When you type a question, ClicData generates the query on its side, runs it against your database, and returns the result. Anthropic sees the question structure, not your data. 

"What were my top five revenue sources last quarter, broken down by region?" The AI writes the query. You see the answer. If you want to refine it, add a filter, change the date range, add a dimension, type the follow-up, and the AI holds the context from the previous question. 

For data analysts, this cuts the setup time on exploratory work. For business users without SQL skills, it eliminates the need to rely entirely on the data team for straightforward questions.
Explore data with AI

Build formulas in seconds

AI formula builder in Data Flow

Remembering exact formula syntax argument order, function names, and nesting rules is not where an analyst's time should go. In ClicData's Data Flow module, you describe the calculation you need and ask the AI to write it.

"30-day rolling average of daily orders, excluding weekends and public holidays." The AI builds it. You review, apply, and move on. No documentation lookup, no trial and error with a broken formula.

It works for straightforward calculations and for complex multi-step transformations. If the first output is not quite right, describe the adjustment, and it will be rewritten.
Write formulas in second with AI

Your data stays in your environment

The most common concern when a BI platform adds AI is data privacy: what leaves your environment, and where does it go?

ClicData generates the query locally. Only the query travels, not your data.

Your data does not contribute to any external training model.

Your raw data is never transmitted to any AI company.

The Ask AI widget is scoped strictly to the datasets you assign. Users cannot query outside that boundary.

Permissions follow your existing ClicData access model; the AI respects the same rules as the rest of the platform.

If your business handles financial records, protected health data, or any information that cannot leave your infrastructure, that constraint holds. Our Data Security & Trust Center provides the full technical details of ClicData's architecture.

How Different Teams Use It

AI for business intelligence means something different depending on who is using it. Whether you call it AI business intelligence, AI data analytics, or AI-powered BI, the value shows up differently by role. The same platform serves three distinct patterns:
WhoThe situationWhat they use
Data AnalystsSpends hours on exploratory query work before the actual analysis can start.Type questions into the Insights module. AI generates queries. Analyst reviews and refines exploratory work that used to take half a day, takes under an hour.
Operation ManagersReviews dashboards each morning manually. Overnight anomalies go unnoticed until the next check.Configures an AI Agent to monitor relevant KPIs in real time and send an alert when a KPI deviates outside the expected range.
Executive / Client stakeholdersReceives a dashboard with no context. Numbers visible, meaning unclear.Narrative analytics generates a plain-English summary inside the dashboard. One read, no analyst needed to explain it.
SaaS Product TeamCustomers ask for better in-product analytics. Building it internally would take months.Embeds the Ask AI widget inside their product using ClicData's embedded analytics layer. Customers query their own data directly.
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