LIVE on Tue, Sep 22 · 5–6pm CEST

Your AI Data Analyst

Get reliable insights from your business data without hiring a data team (or waiting on one)

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Live online + recording

Uploading a spreadsheet to ChatGPT or Claude is easy.

Connecting AI to your database or CRM just takes a few clicks.

But getting reliable business insights is a different problem.

Even powerful models like GPT-6 Astra and Claude Fable 5.1 can produce confident but wrong findings when your data lacks the right structure, definitions, and context.

The missing piece is a system around the model.

The AI Data Analyst gives you one that works.

You’ll see a simple setup that can start with one spreadsheet and grow into a wider company data system.

Then you’ll install the Starter Pack and try it yourself.

You don’t need to be “technical” or a data expert. If you can work with spreadsheets and a tool like ChatGPT, you can follow along.

(For the best experience, I recommend installing either the ChatGPT or Claude desktop app and subscribing to one of these services.)

Part 1 – See How This Works (10m)

I’ll show you how an AI Data Analyst works and how the main parts fit together.

You’ll understand the architecture behind the system instead of downloading a random ZIP file and hoping for the best.

That matters because once you understand the setup, you can adapt it to your own business, connect new data sources, and add new analytical skills.

Then we’ll install it.

Part 2 – Install The Starter Pack (40m)

The Case includes an AI Data Analyst Starter Pack you can install in under 20 minutes:

  • It supports everyday analysis as well as a range of more advanced analytical methods.

  • The Starter Pack comes as a ZIP folder. Just download, extract, and open it.

  • You’ll need a paid subscription to an agentic AI system like ChatGPT (Desktop App) or Claude (Desktop App).

I’ll walk you through a live demo in 3 parts:

A) Add a spreadsheet – We’ll start with an Excel file.

  • The AI Analyst will inspect the data, identify the main fields

  • Look for possible problems

  • Ask you about unclear business terms, and

  • Add the dataset as a documented, governed source.

B) Ask a real business question – We’ll ask the AI Analyst something simple:

  • “Who are my top customers, and has that changed over the last six months?”

  • The analyst checks the business definitions, looks at the quality of the data, runs the analysis, and saves a record of how it reached the result.

C) Add a cloud data source and run advanced analysis – Time to shift gears.

In addition to the spreadsheet, we’ll:

  • Connect the AI Analyst to a real cloud data warehouse with thousands of products, customers, and transactions.

  • Use that data to explore more advanced methods such as clustering, association rule mining, and multivariate trend analysis.

  • You can follow along even if those terms are completely new to you.

  • It will guide you through the method, whether your data is a good fit, tell important assumptions, and helps you interpret the results.

Part 3 – What Comes Next (10m)

The Starter Pack gives you a working starting point. Then we’ll look at how far you can take it.

  • You’ll see how to adapt the system to your own field, add more skills and data sources, strengthen governance, and understand where its limits are.

  • We’ll also look at what it takes to run the system fully on your own infrastructure, including fully local setups where your data can stay on your computer and open-source models do the analysis.

And because this is live, you can ask questions throughout the session.

What You Get

  1. How it works — a simple overview of the AI Data Analyst concept

  2. The architecture — how data, business definitions, skills, and analysis history fit together

  3. The Starter Pack — a working system you can install in under 20 minutes

  4. The next-step plan — how to customize, govern, and scale it for real business use

You’ll finish with a working example and a plan for what to do next.

Great If You Want To...

  • Speed up data analysis with AI

  • Analyze data without waiting for a data analyst

  • Get more reliable answers from AI

  • Use advanced analysis without being a statistician

  • Reduce the risk of AI giving you wrong insights

  • Check whether your data is good enough for an analysis

  • Understand which analytical method to use

  • Spend less time on ad-hoc analysis

  • Ask questions that your dashboards cannot answer

  • Combine spreadsheets with database data

  • Make AI analysis easier to review

  • Keep a record of how an insight was produced

  • Reproduce important analyses later

  • Test an AI analytics use case before making a bigger investment

  • Start small before building a full AI data platform

  • Explore where AI can reduce manual analytical work

  • See how the role of data teams may change with AI

Not Great If You Want To...

  • Copy one magic prompt into ChatGPT and call it done

  • Fire your 50-person data team

  • Turn this into your next AI startup — this is designed as an internal business use case

Want the AI Data Analyst for yourself?

Tue, Sep 22
5-6pm CEST
Live online + recording

Save Your Spot
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Recording included.