Preparing your data
Five data checks before trusting an AI analysis
A practical review of duplicates, totals, dates, relationships, and missing values to catch convincing answers built on unreliable data.
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Rumbleo blog: analyzing data with AI
Before connecting an assistant to your data, some decisions deserve a closer look. These guides include worked examples and criteria for evaluating a solution.
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Sales
Why are sales falling? Separate price and volume before asking AI for an explanation
A worked example for separating unit and price changes, checking product mix, and asking useful follow-up questions about sales.
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Data and security
ChatGPT with company data: what to prepare before connecting it
Review data, permissions, and business definitions before using ChatGPT or Claude to answer business questions.
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Choosing a solution
Conversational BI and dashboards: which work belongs where?
How to divide monitoring and exploration between dashboards and AI analysis, with example questions and practical evaluation criteria.
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Choosing a solution
How to evaluate an AI analytics tool with your own questions
A practical evaluation script for checking figures, clarification, limits, and usefulness before buying an AI data analyst.
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Worked example
Revenue is flat, profit is down: investigating margin with AI
A worked example of investigating a margin decline, comparing channels and checking missing evidence before attributing a cause.
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