Data Analyst
Talk to all your marketing and business data.
Bring spreadsheets and databases together and ask questions in plain language. A coordinated team of AI specialists explores, queries, computes, charts and documents the answer — and writes every step to a sealed ledger, so "how was this computed?" always has an answer.
- Files, SQL databases and Google Sheets
- Charts, documents, statistics and ML
- Every operation in a verifiable ledger
Your data knows more than your dashboards show.
Campaign, sales, media and survey data live in separate files and systems. Joining them takes analyst time most marketing teams don't have — and when an AI does it, nobody can check how the numbers were produced.
Questions, not queries
Ask in plain language; the agents work out the joins, filters and aggregations across your datasets.
An answer you can audit
Every operation is recorded in a hash-chained ledger, and a Query Auditor can review any analysis.
Your systems stay untouched
Analyses run on private snapshots, never on a live line into production, and every query is validated before it runs.
From raw data to a verified answer.
- 01
Bring in your data
Upload CSV, Excel or SQLite files, or connect MongoDB, PostgreSQL, MySQL or Google Sheets and import a snapshot. Refresh it manually or on a schedule.
- 02
Ask your question
In plain language, with context documents if useful. Choose the depth of analysis: standard, advanced or deep.
- 03
Watch the specialists work
An orchestrator coordinates a data explorer, a query engineer, a visualisation specialist and, when you enable it, a statistician — live.
- 04
Check and share
Open the ledger to see how each number was computed, run the Query Auditor, export the data or share the analysis.
An analytics team, on demand.
Specialist agents
Orchestrator, data explorer, query engineer, visualisation specialist, statistician, machine-learning specialist and query auditor, each with a defined role.
Charts and documents
Line, area, bar, column, pie, donut, scatter, heatmap and radar charts, plus polished documents — described as data, never as executable code.
Advanced statistics
Regressions, forecasts and hypothesis tests in an isolated Python sandbox, switched on when you need it.
Machine learning
Train regression and classification models on your datasets, compare them on a cross-validated leaderboard, and turn predictions into new datasets to analyse.
The data ledger
Every tool call is written to a sealed, hash-chained ledger: who asked, which datasets and versions were touched, what came out. Tampering is detectable.
Connected and scheduled
MongoDB, PostgreSQL, MySQL and Google Sheets connectors, with hourly, daily, weekly or monthly refreshes.
What goes in, what comes out.
What goes in
What comes out
Where teams use Data Analyst.
Campaign performance analysis
Join campaign, conversion and media-spend data to see what worked, where, and at what cost.
Sales & conversion analytics
Conversational analysis of your e-commerce and CRM data — with charts, statistics and a verifiable trail.
Forecasting & modelling
Train and apply machine-learning models on your datasets; predictions become new datasets you can analyse further.
Quant meets qual
Confront survey or sales data with what the panels said; every figure traceable in the ledger.
Monthly brand review
A saved workflow: panels + AI visibility + media spend + social data → a branded review deck, every month.
Board & executive reporting
Recurring workflows that produce decision-ready documents from data, with every number auditable.
Part of one connected platform.
Data Analyst shares the platform's sign-in, governance and budgets — and every other intelligence can call on it.
Rigour inside every agent
AdaptivAgent calls Data Analyst as a tool, so every agent analysis rests on the same auditable foundations.
Explore AdaptivAgent App StudioData for your tailored apps
Power the apps you build in App Studio with Data Analyst datasets and queries.
Explore App Studio GroupChatNumbers meet voices
Set what synthetic panels said against your survey and sales data.
Explore GroupChat- Hosted in the EU
- GDPR by default
- Single sign-on & role-based access
- Every AI call in a spend ledger
Questions, answered.
What is Data Analyst?
Data Analyst is AdaptivAI's data intelligence application: a conversational analytics tool in which specialist AI agents analyse your marketing and business data, produce charts and documents, and record every computation in a verifiable ledger.
Which data sources are supported?
You can upload CSV, Excel and SQLite files, and connect MongoDB, PostgreSQL, MySQL and Google Sheets.
Does it query my production databases directly?
No. Data is imported as private snapshots owned by the application; analyses never run on a live connection to your systems. We recommend a read-only user for connected sources, and credentials are encrypted and write-only.
Can the AI change my data?
No. Every query is validated before it runs, and operations that would modify data are blocked. When you enable statistical analysis, the code runs in an isolated, disposable sandbox.
How can I trust the numbers?
Every operation is written to a sealed, hash-chained ledger that you can open from any answer. A Query Auditor can also review an analysis and return a pass, warning or fail verdict.
Does it do machine learning?
Yes. Train and compare regression and classification models on your datasets; predictions become new datasets that you can analyse or export.
Can I share an analysis?
Yes, through a link restricted to your organisation that expires after seven days; the recipient gets their own copy.
Bring your data. Ask your first question.
A 30-minute live session, tailored to your industry, your brands and your team. We show the intelligence domains most relevant to you with real scenarios from your category. No commitment required.
We learn about your team, workflows and strategic challenges to tailor the session.
A walkthrough of the market, brand, commerce, data and orchestration intelligences that matter to you — on your use cases.
If there is a fit, a scoped pilot with clear success metrics — evaluate before committing.
Prefer email? Write to contact@adaptivai.net.