How it works

Analyse. Explore. Expand.

Every Dactana session follows a simple journey: analyse the question, explore the evidence and expand the work when more detail is needed. Start with a quick answer, test a hypothesis or build a repeatable analysis. Turn the findings into recommendations with evidence, assign an owner and track the action.

See it in a demo
1

Analyse

Start with the business question. Dactana structures it into an analytical approach, runs it against your data and returns a finding with checked numbers and visible evidence.

The AI handles interpretation and structure. The arithmetic is handled separately, with every number queried directly from your data and verified before it reaches the output.

Checked numbersVisible evidenceStructured finding
2

Explore

The analysis output becomes an Explorer: a decision-ready workspace that combines findings, visuals, commentary and evidence in one place.

The chart is not the endpoint. The Explorer lets you inspect the working, interrogate the evidence and share a full picture, not just a screenshot.

Shareable workspaceEvidence trailOpen-book analysis
3

Expand

The first answer is the start, not the finish. Use follow-up to investigate segments, exceptions and drivers without starting over. The analytical path stays open.

Analysis built in Dactana is reusable. It can be refreshed with new data, extended with new questions and shared across the team to build a common view of the evidence. Turn recommendations into actions with owners and status so the team can follow through.

Follow-up questionsReusable analysisValidated outputs

From your data to
action backed by evidence

Step 1 of 8

Connect & profile your data

We connect to your data and our agents map out the relationships, assess data quality and document the gotchas that matter for analysis, so everything that follows is built on a solid understanding of your data.