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[![Example scenario: a vague analysis request becomes a concrete question, is tried on sample data, and waits for your approval before running on the full data.](https://oguzerol.com/gorseller/senaryo/ai-data-analysis-senaryo-en.webp)

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# AI Data Analysis | Make Your Data Talk

[Oğuz Erol](https://oguzerol.com/en/about-me/)  |  4 min read  |  Published: 29 July 2026  |  Updated: 21 August 2026

## Quick summary

Your data doesn't fit a ready-made report? We define your question together, and I turn the data into a clear answer. We start with a sample.

You have data, but your question doesn’t fit any ready-made report type — something specific to your business, like “which product group sells more in which region, and how does that relate to season.” This page is about **custom data analysis** questions that don’t fit a pattern: we clarify the question together, and I turn your data into a clear answer.

If your question fits one of the patterns below, that page is a faster and cheaper path:

- Want to **forecast future sales**? → [Sales Forecasting](https://oguzerol.com/en/sales-forecasting/)
- Want to **segment your customers**? → [Customer Segmentation](https://oguzerol.com/en/customer-segmentation/)
- Want to know **who’s leaving and why**? → [Customer Churn Analysis](https://oguzerol.com/en/customer-churn-analysis/)
- Want to see **which products sell together**? → [Basket and Cross-Sell Analysis](https://oguzerol.com/en/basket-and-cross-sell-analysis/)
- Just want **messy data cleaned up**? → [Excel Data Cleaning](https://oguzerol.com/en/excel-data-cleaning/)

## How It Works

1. **The question gets clarified.** “Analyze my data” is too broad a request; something concrete like “which product group drops in which month” gets a much faster and more accurate result. That clarification itself is part of the job.
2. **A sample gets tried first.** A small sample of your data gets run through first — you see whether the approach works, and we don’t enter a large job on an abstract promise.
3. **The analysis gets scaled up.** Once the sample is approved, the full dataset gets worked on.
4. **The result gets presented clearly.** Not a pile of raw numbers — a summary that says “these three findings show this,” in a format you can act on.

## Who This Makes Sense For

Any business whose data question doesn’t fit a ready-made pattern, but who has data at the Excel/Sheets level. This is the situation I run into most with small and mid-sized businesses without a data team — the question exists, the data exists, nobody’s building the bridge between them.

## The Mistake I See Most Often

**Diving into the data before the question is clear.** An analysis that starts with “find something in this data” usually ends up with irrelevant or shallow findings. Without a clear question first, the result turns into charts that look impressive but don’t actually help you decide anything.

## What It Does Not Do

- **It doesn’t make investment or strategic decisions.** I present the finding; you make the call.
- **It doesn’t magically fix bad or incomplete data.** If data quality is poor, I say so upfront — sometimes the first job is cleaning it.
- **It doesn’t profile individuals.** The analysis works on aggregate/anonymized data; I don’t build a setup that targets individuals.

## You Can Hire Me for This

**You can hire me for this:** remote, billed hourly. Timeline depends on the complexity of the question and data volume; I give you a realistic estimate after the sample run.

To start, just share your question and a sample of your data. Write to me from the [contact page](https://oguzerol.com/en/contact/).

## Frequently Asked Questions

### My data is very messy — does it need cleaning first?

Usually yes, but that’s treated as a separate step — I look at a sample first and tell you how much cleaning is needed. Sometimes cleaning takes longer than the analysis itself.

### How much data do I need?

Depends on the question, but the general rule is: little data doesn’t produce a reliable result. You can’t look for a year-long pattern in a few weeks of data — we assess this together during the sample review.

### Do I need a tool beyond Excel?

Most analyses finish at the Excel/Google Sheets level. If data volume is large or the analysis needs to repeat regularly, I can suggest a more automated setup.

### How do I receive the result?

I deliver a report summarizing the findings along with the supporting data behind it — not just a chart, but an explanation that answers “why is this happening.”

[Back to top ↑](https://oguzerol.com/en/ai-data-analysis/#icerik)

## You may also find these useful

[Customer Churn Analysis | Who Left, and Why?Find the common traits of customers who left, flag at-risk customers, and get a retention plan built around what the data shows. Retention plan included.](https://oguzerol.com/en/customer-churn-analysis/)[Excel Data Cleaning | Order for Messy SpreadsheetsBroken formats, duplicate records, inconsistent addresses — I turn your messy data into a clean, filterable table. Cleanup stays under human review.](https://oguzerol.com/en/excel-data-cleaning/)[Survey Design and Analysis | Listen to Your CustomersThe right questions get designed, responses get collected, and the results are delivered as a report you can act on — for satisfaction and product decisions.](https://oguzerol.com/en/survey-design-and-analysis/)

[Browse all articles →](https://oguzerol.com/en/articles/)