Key takeaways:
- "Wide" or "crosstab" data, with categories like months spread across columns, is common but incredibly difficult to filter, sort, and analyze in Excel.
- While Power Query is the traditional tool for unpivoting data, it involves a steep learning curve and a multi-step process that many users find cumbersome.
- Excel AI tools like Excelmatic automate this entire data transformation. You can simply ask the AI to "unpivot my data" in plain English and get an analysis-ready table in seconds.
- Using Excelmatic not only saves significant time but also empowers you to immediately ask follow-up questions and generate insights from the newly structured data without ever leaving the conversation.
Problem background & pain points
Imagine you're a procurement manager or a financial analyst. Every month, you track expenses from various suppliers. Your spreadsheet is neatly organized, or so it seems. You have a list of suppliers in the first column, their payment terms in the second, and then a series of columns for each month: Jan, Feb, Mar, and so on, all the way to December.
The table looks something like this:

This format, often called a "wide" or "crosstab" table, is great for a quick visual overview. You can easily see what you spent with "Supplier A" in March. But the moment you need to do any real analysis, the pain begins.
What if your manager asks, "Can you give me a list of all suppliers we paid in June?" Or, "What was our total spending for suppliers who require Payment In Advance (PIA)?" With the data structured this way, there's no simple filter or formula. You'd have to manually scan the "June" column, or filter by "PIA" and then manually sum the values across 12 different columns. It's time-consuming, error-prone, and simply doesn't scale.
To perform proper analysis—like creating a pivot table to summarize expenses by payment term, or a chart to visualize spending trends over the year—you first need to restructure this data. You need to transform it from a "wide" format into a "long" format, where each row represents a single observation: one supplier, one month, one expense amount. This process is called unpivoting.
The Traditional Excel Solution: Steps and Limitations
For experienced Excel users, the go-to tool for unpivoting data is Power Query (also known as "Get & Transform Data"). Power Query is an incredibly powerful data transformation engine built into modern versions of Excel. It can handle this task flawlessly, but it comes with its own set of challenges.
Here’s a summary of the steps you would typically follow using Power Query:
- Load Data into Power Query: First, you select your data range and go to the
Datatab on the ribbon. From there, you clickFrom Table/Range. This opens the Power Query Editor, a completely separate interface from the main Excel grid.

Select Columns to Unpivot: Inside the Power Query Editor, you need to identify all the columns you want to transform. In our example, you would select the columns from "Jan" through "Dec".
Execute the Unpivot Command: With the monthly columns selected, you navigate to the
Transformtab and find theUnpivot Columnsbutton. Clicking this will magically restructure your data.Rename New Columns: Power Query creates two new columns, typically named "Attribute" (which will contain the month names) and "Value" (which will contain the expense amounts). You'll need to right-click each of these column headers and rename them to something more intuitive, like "Month" and "Expense."
Close & Load: Finally, you click the
Close & Loadbutton. This closes the Power Query Editor and loads the newly transformed, "long" table into a new worksheet in your Excel file.
Now your data is analysis-ready. But this traditional method has several significant limitations:
- High Learning Curve: Many Excel users have never even opened the Power Query Editor. It's a powerful tool, but its interface, functions (written in the M language), and overall workflow can be intimidating for those who live in the world of VLOOKUPs and SUMIFs.
- It's a "Black Box" for Teammates: If you set up a Power Query workflow, your colleagues might not understand how to edit or refresh it if something changes. It's not as transparent as a simple formula.
- Lack of Flexibility for Quick Questions: Power Query is a structured, repeatable process. It's not designed for quick, one-off questions. If you just wanted to see the total for June without permanently restructuring your data, this is a lot of overhead.
- Discoverability Issues: How would a user even know the term is "unpivot"? They just know their data is "sideways" and hard to work with. They wouldn't know what to Google, let alone where to find the feature in Excel's menus.
The New Solution: Using an Excel AI Agent (Excelmatic)
What if you could skip the menus, the new interfaces, and the special terminology? What if you could just tell Excel what you want, in your own words? That's exactly what Excel AI agents like Excelmatic are designed for.

Excelmatic allows you to upload your data file and simply have a conversation about it. You describe the problem, and the AI performs the analysis, generates the formulas, or, in this case, completely restructures the data for you.
Step-by-Step: Unpivoting Data with Excelmatic
Let's solve the exact same supplier expense problem using Excelmatic. The process is radically simpler.
1. Upload Your Excel File
First, you sign in to Excelmatic and upload your Excel file containing the "wide" supplier expense data. You can drag and drop it directly onto the platform. Excelmatic will read the data and show you a preview.

2. Describe Your Goal in Natural Language
This is where the magic happens. Instead of clicking through menus, you just type your request into the chatbox. You don't even need to know the word "unpivot."
Here are a few examples of prompts you could use:
- "This table has months in columns. Can you restructure it so I have one row per supplier per month?"
- "Transform this data from a wide format to a long format. Take the columns from Jan to Dec and make them into two new columns: 'Month' and 'Expense'."
- "I want to unpivot the monthly expense columns."

3. Review and Iterate on the Result
Excelmatic will instantly process your request and present the transformed, "long" data table.
But it doesn't stop there. This is a conversation. The newly structured data is now the basis for your next question. You can immediately start analyzing it:
- "Great. Now, can you filter this to only show expenses for June?"
- "Create a pivot table that shows the total expenses for each Payment Term."
- "Which supplier had the highest total spending for the entire year?"
- "Generate a bar chart comparing the total expenses for Q1 vs Q2."
This interactive, conversational approach allows you to move from raw, messy data to actionable insights in a single, fluid workflow.
4. Export Your Results
Once you have the data, pivot table, or chart you need, you can download the results as a new, clean Excel file with a single click. You can get the unpivoted data, the final report, or both.
Dialogue Example
Here’s how a typical conversation might look in Excelmatic:
User: I've uploaded my supplier expense sheet. The data is laid out with months across the top, which makes it hard to analyze. Can you fix this for me?
Excelmatic: Of course. I see the wide format with columns from 'Jan' to 'Dec'. I will unpivot these columns to create a "long" table with four columns: 'Supplier', 'Payment Terms', 'Month', and 'Expense'. Is this correct?
User: Yes, that's perfect. Go ahead.
Excelmatic: Done. Your data has been restructured. You now have a clean table with 264 rows (22 suppliers x 12 months). What would you like to do with this data now? For example, I can create a summary report or filter for specific information.
User: Show me the total expenses for suppliers with 'PIA' payment terms, and then create a chart to show how those expenses are spread across the months.
Excelmatic: No problem. The total expense for 'PIA' suppliers is $XX,XXX. Here is a bar chart visualizing the monthly spending for this group. You can download the chart and the underlying data as a new Excel file.
Traditional Method vs. Excelmatic: A Quick Comparison
| Feature | Traditional Method (Power Query) | Excel AI Agent (Excelmatic) |
|---|---|---|
| Time to Result | 10-30 minutes (including learning/research) | < 1 minute |
| Learning Curve | High (requires learning a new interface) | Almost zero (requires knowing your goal) |
| Flexibility | Rigid (structured for repeatable tasks) | High (conversational and iterative) |
| Discoverability | Low (must know the term "unpivot") | High (describe the problem in plain English) |
| Error Rate | Low if done correctly, but steps can be missed | Very low; AI handles the transformation logic |
FAQ
Q: Do I need to know technical terms like "unpivot" or "wide to long" to use Excelmatic?
A: Absolutely not. That's the main advantage. You can simply describe your data's structure and what you want to achieve, like "my table has months as columns, please fix it" or "stack all the monthly data into one column."
Q: Is Excelmatic replacing Power Query?
A: Not at all. Power Query is an essential tool for building complex, automated data pipelines (ETL). Excelmatic is designed for business users who need to perform rapid analysis, clean data on the fly, and get answers without a steep learning curve. They solve different scales of the same problem.
Q: What if my data isn't perfectly clean? For example, some cells are empty.
A: Excelmatic can handle imperfections. When it unpivots the data, rows corresponding to empty expense cells are often excluded by default, which is usually the desired behavior. You can also give specific instructions, such as "ignore any rows where the expense is zero or blank."
Q: Is my data secure when I upload it to Excelmatic?
A: Yes. Excelmatic is built with enterprise-grade security. Your data is encrypted in transit and at rest, and is not used for training AI models. For specific details, always refer to the official privacy policy and security documentation.
Q: Can I use the unpivoted data to build a dashboard later?
A: Definitely. You can ask Excelmatic to generate charts and pivot tables directly, or you can download the perfectly structured "long" data table and use it as a clean source for your own Excel dashboards or Power BI reports.
Take Action: Revolutionize Your Excel Workflow Today
Think about the last time you wrestled with a poorly structured spreadsheet. How many minutes or hours were lost to manual copying, pasting, and reformatting? Continuing to use manual methods for tasks like unpivoting is not just slow—it’s a barrier to insight.
By embracing an Excel AI agent, you transform data preparation from a chore into a conversation. Instead of fighting with your data's structure, you can focus on the questions that truly matter for your business.
Ready to see it for yourself? Try Excelmatic for free today. Upload that messy supplier report or any other "wide" table you have, and use one of the prompts from this article. Experience the difference when your data just works for you.







