How to Consolidate Data From Multiple Sheets in Excel

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Whether dealing with sales data from different regions, financial reports from various departments, or customer feedback across several channels, the challenge remains: how do you efficiently consolidate all this information into a single, coherent dataset?
Flipping between spreadsheets, manually copying and pasting data in Excel files to combine data, and keeping track of changes while doing so is inefficient and increases the risk of critical mistakes.
Fortunately, Excel offers powerful tools and techniques to simplify data consolidation. In this blog, we’ll walk you through the essential methods to consolidate data effectively in Excel sheets.
You will learn how to merge two Excel spreadsheets, streamline your workflow, improve accuracy, and enhance your data analysis capabilities. Let’s get to it.
Data consolidation in Microsoft Excel involves combining data from multiple Excel sheets into one. This process helps you analyze large data sets scattered across multiple Excel files.
Merging Excel spreadsheets can be a tough task, especially if you have a ton of data. Skip the mess and stay organized with this free ClickUp Editable Spreadsheet template.
Consolidation is important for businesses, as data in multiple spreadsheets from different departments, locations, or systems often needs to be combined in one sheet to obtain a comprehensive overview.
Knowing how to merge two Excel spreadsheets makes it easier to transform data and find universal patterns and insights.
Knowing how to merge two Excel spreadsheets gives you two clear benefits:
Before creating an Excel database, ensure that the information in your Excel files is clean, standardized, and organized
Alternatively, avoid the manual preparation process by using pre-created database templates. These templates provide organizational structure and help you replicate common pages and processes.
The ‘Consolidate’ feature in Excel helps merge sheets by combining similar datasets from multiple rows, columns, worksheets, or workbooks.
Let’s say you have an e-commerce store’s procurement data with order ID, SKU ID, and quantity in an Excel file.

You want to add up the quantities of similar SKUs. You can use the following steps:
Step-by-step process:
1. Find ‘Consolidate’ under the data tab.

2. Select the cell in which you want the consolidated data to appear. Click on the ‘Consolidate’ function, and a dialog box will appear on the screen. Choose the Up arrow button and select your reference range.

3. Select the reference range that you would like to consolidate and hit enter.

4. After selecting the range, click the ‘Add’ button to add it as a reference. Check the ‘Left column’ to keep the SKU IDs in the consolidated table. Click OK to proceed.

5. You will get the SKU-wise combined quantity in the consolidated procurement data view.

Let’s say you have two different datasets in different Excel files.

1. Select the cell where you want the consolidated data to appear

2. Go to the ‘Consolidate’ function and provide the cell reference by switching to the first sheet tab (e.g., Sheet 1) and selecting the range you want to sum (e.g., A1:A10). Then, switch to the next sheet (e.g., Sheet 2) and select the range (e.g., A1:A10). Repeat this step until you reach the destination sheet. Click on ‘OK’ to proceed.

3. The data will be successfully consolidated from multiple sheets.

💡Pro Tip:
a. The reference cells can also be from different workbooks. Let’s say you have five different Excel worksheets with monthly sales information. You could make a consolidated view using the ‘Consolidate’ function and referencing the five worksheets. Excel will pull information from those five, giving you a comprehensive view.
b. With the ‘Consolidate’ function, in addition to sum, you can also find count, average, min, or max across different rows, worksheets, or workbooks. Switch to any of these functions in the ‘Consolidate’ menu to get the desired results.
Excel has built-in functions that help you find and consolidate data from different worksheets based on a common key. Let’s see how they work.
Step-by-step process:
1. Prepare your data and ensure that the key column (e.g., column A) is present on both Excel files.

2. Click on the cell where you want the VLOOKUP result to appear.
3. Enter the VLOOKUP formula and select the cell containing the lookup value in the current sheet (e.g., A2).

4. Switch to the sheet you want to pull data from (e.g., Sheet 2) and select the range that includes both the key column and the data you wish to retrieve (e.g., A: B). Enter the column number in the table array to retrieve the data. For example, if you want data from column B, enter 2.
5. Specify the Range Lookup by typing FALSE to find an exact match and close the formula. Drag down the column data to see fully consolidated values.
6. After this, you’ll see data consolidated in Excel.
INDEX-MATCH is a more flexible alternative to VLOOKUP for merging multiple sheets.
Step-by-step process:
1. To merge data, open the Excel workbook that contains the sheets you want to consolidate.
2. Prepare your data and ensure that the key column (e.g., column A) is present in both Excel files. Make sure your data is well-organized, and click on the cell where you want the INDEX-MATCH result to appear.
3. Go to ‘Data’> ‘Data Validation’. Then select ‘List’ under the ‘Allow’ tab.

4. Now, select the range from the first sheet that you want to consolidate.

5. You’ll see a drop-down button with the cell range you selected in the previous step.

6. Start by typing the MATCH part of the formula to find the position of the lookup value. Then, select the cell containing the lookup value in the current sheet (e.g., A2). Type a comma.
7. Switch to the sheet you want to look up data from (e.g., Sheet2) and select the range that contains the key column (e.g., Sheet2!A:A). Type a comma, and then type 0 for an exact match. Close the MATCH function with a bracket.
8. Now, nest the MATCH function inside the INDEX function to retrieve the corresponding value. Type ‘INDEX(‘ to start the formula. Then, switch to the sheet where the data to be retrieved is located (e.g., Sheet2) and select the range containing the data (e.g., Sheet2!B:B). Type a comma and paste the MATCH function you previously created (e.g., MATCH(A2, Sheet2!A:A, 0)). Close the INDEX function with a bracket.

It isn’t enough to know how to merge two Excel spreadsheets. Adhering to best practices while consolidating data in Excel ensures that your data is accurate and reliable.
Here are some essential practices to follow:
Before you merge Excel files and start your analysis, format the data to maintain consistency across all Excel sheets. Inconsistent formats can lead to errors and complications during the merging process.
You can also use pre-built Excel templates while tracking a project so that your team can work with the same format and maintain consistency across all Excel files.
Here are some tips to achieve consistency:
Establish a routine schedule for data updates on your Excel files so your team members always have up-to-date information.
Since multiple team members may update your data, display a Work Breakdown Structure in Excel. A WBS ensures that everybody is aligned about the scope of work, goals, and expectations
Here are some tips to update data:
Data loss can be catastrophic, especially when dealing with large datasets in Excel workbooks. Regular backups ensure you can recover your data if somebody accidentally deletes it or it gets corrupted.
Here are some tips to back up your data:
While Excel helps with most of the analysis and consolidation, it has certain limitations you should be aware of, especially when working with complex or large-scale tasks. Here are some limitations that you should consider:
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The Table view in ClickUp offers a spreadsheet-like interface for data analysis, so users can become familiar with Excel and enjoy enhanced data analysis features.

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| Feature | ClickUp Table View | Excel |
| Data organization | Structured task management with status and dates | Cell-based data organization |
| Real-Time collaboration | Available with live updates | Limited collaboration options |
| Automation | Extensive with customizable workflows | Limited to macros and VBA |
| Integration with other tools | Integration with 1000+ tools like Slack, GitHub, and Hubspot | Requires additional software for integrations |
| Templates | Pre-built and customizable spreadsheets and database templates | Primarily financial and analytical templates |
| Performance with large datasets | Efficient for task management, limited for large datasets | Performance issues with large-scale data analysis |
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For example, your marketing team can create tasks for each campaign activity, such as social media posts, blog articles, and email newsletters in ClickUp. Each task is linked to a row in their ClickUp Table View, allowing team members to update statuses and track progress in real time.
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You now know how to merge two Excel spreadsheets. We’ve seen how the different consolidation methods all require formulas and functions. Instead, you can use ClickUp to perform faster, better, and more advanced analysis. Without needing to remember steps and formulas.
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