AI can speed up report work, but it must not replace data understanding. The workshop teaches how to ask, verify, and turn the output into a useful decision.
Basics
- Length: 1 day (8 hours)
- Price: 16,000 CZK / participant (ex-VAT)
- Format: on-site, adapted to your reports and data, on demand
- Max participants: 15
- Who it's for: data analysts, product owners, business analysts, and managers who work with reports
- Prerequisites: a sample report, data glossary, or anonymized data makes the training much stronger
What you'll take away
- A way to use AI with reports while keeping control over interpretation.
- Question templates for data analysis, hypothesis checks, and outlier review.
- Rules for validating outputs, including when AI must not be treated as a source of truth.
- A report or dashboard proposal tied to one real decision.
- A list of data assumptions to resolve before wider rollout.
Program
Morning: question, report, and data context
- What “chat with data” means and where output trust breaks.
- Mapping one business question to metrics, dimensions, and sources.
- Power BI + AI in practice: visualization proposal, trend explanation, outlier search.
Afternoon: validation and decision use
- Checking interpretation: what the data says, what is a hypothesis, and what is speculation.
- Prompt templates for report analysis and management summaries.
- Work with missing or inconsistent data.
- Agreement on how the team documents and approves AI-assisted outputs.
How it fits
For data pipelines, continue with AI for Data Engineers. For platform AI scenarios, continue with Azure AI Foundry, RAG & Copilot Studio.
Want this training for your team?
Every training is tailored to your team. Tell us about your people, stack, and goals, and we'll come back with a concrete proposal.
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