Fuzzy Matching for Excel on Mac
- There is No Fuzzy Lookup Add-in for Excel on Mac
- The Built-in Option: Power Query's Fuzzy Merge on Mac
- The DIY Approach: VBA and Complex Formulas
- Why Traditional Fuzzy Matching Falls Short
- The Better Alternative: Flookup for Google Sheets
- Power Query Versus Flookup: A Quick Comparison
- Best Practices for Any Method
- Beyond Mac Excel Limitations
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Key Takeaways
- Mac users lack the official Microsoft Fuzzy Lookup Add-in, but can use Power Query's built-in "Fuzzy Merge" for basic approximate matching.
- Traditional fuzzy matching (like Power Query) uses lexical algorithms that struggle with complex variations, synonyms and acronyms.
- Flookup for Google Sheets offers a superior alternative for Mac users, leveraging AI-powered semantic matching to understand context and meaning.
- Using Flookup allows for advanced deduplication, automated data cleaning and intelligent record linkage without the need for complex VBA or Windows workarounds.
There is No Fuzzy Lookup Add-in for Excel on Mac
Quick Checklist
| Step | Action | Why It Matters |
|---|---|---|
| 1 | Identify unmatched records across your data sources | Pinpointing the gap clarifies which records need fuzzy matching attention |
| 2 | Export the data to a compatible matching tool | Choose a platform that supports the fuzzy algorithms your dataset requires |
| 3 | Apply the fuzzy matching algorithm to candidate pairs | Levenshtein or phonetic methods catch near-matches that exact lookup would miss |
| 4 | Review the suggested match pairs for accuracy | Human oversight ensures borderline matches are correctly accepted or rejected |
| 5 | Merge confirmed matches into a single consolidated dataset | A unified record set eliminates redundancy and improves downstream analysis |
For years, Mac users have faced a significant gap in their Excel toolkit: The absence of the official Microsoft Fuzzy Lookup Add-in. Nearly one in three Microsoft 365 subscribers are on Mac, and those users have been locked out of Excel's Fuzzy Lookup since it launched in 2013. This powerful tool, a staple for data cleaning on Windows, was never made available for macOS, leaving users to rely on cumbersome workarounds.
This gap forced Mac users into inefficient processes, such as:
- Tedious manual data cleaning, which is prone to human error and time-consuming.
- Exporting data to a Windows machine or a virtual machine to utilise the add-in.
- Attempting to replicate fuzzy matching logic using complex, often unreliable, combinations of Excel formulas, which rarely achieve the same level of accuracy or automation.
The Built-in Power Query Fuzzy Merge
Fortunately, the situation has improved. Microsoft has brought Power Query to Excel for Mac and with it comes a built-in "Fuzzy Merge" feature. This is a significant step forward, allowing users to perform approximate matches directly within Excel on macOS for the first time.
Power Query's Fuzzy Merge is a capable tool for basic fuzzy matching tasks. It allows you to merge tables based on similar text and is a huge improvement over having no native tools.
However, it relies on the same lexical algorithm (Jaccard index) as the old Windows add-in, which has its limitations. It is great for catching simple typos but struggles with more complex variations.
A DIY Approach with VBA and Formulas
For those willing to get their hands dirty, it is possible to create a custom fuzzy matching solution using a combination of Excel formulas and Visual Basic for Applications (VBA). This method typically involves two key steps:
- Creating a Custom Levenshtein Function: You can write a VBA script to create a custom function, for example, "LEVENSHTEIN()" that calculates the "edit distance" between two strings. This requires using the VBA editor.
- Combining with Standard Formulas: Once you have your custom function, you can combine it with "INDEX", "MATCH" and other array formulas to find the row with the highest similarity score and return the corresponding value.
While this approach offers a high degree of control, it has significant drawbacks.
It requires coding knowledge and can be very slow on large datasets, making it impractical for most users as a day-to-day solution.
Why Traditional Fuzzy Matching Falls Short
Traditional fuzzy matching, like that in Power Query, works by comparing the characters or words in two strings. It calculates a similarity score based on how many elements they share. For example, it can easily see that "John Smith" and "Jhon Smith" are very similar.
But this approach has a fundamental limitation. What we call the Synonym Problem: it can count shared characters, but it cannot tell you that "CEO" means the same thing as "Chief Executive Officer". That is the fundamental limitation of character-based matching.
Consider these examples where it would struggle:
- "The big apple" versus "New York City"
- "Chief Exec. Officer" versus "CEO"
- "United States of America" versus "USA"
A traditional algorithm would see these pairs as completely different because they share few, if any, common words. This is where a more intelligent approach is needed.
A Better Alternative with Flookup
For those who need more power, accuracy and flexibility than Power Query can offer, Flookup Data Wrangler for Google Sheets is a far more advanced solution. Its cloud-based nature makes it perfectly accessible and incredibly powerful for Mac users.
Flookup moves beyond traditional algorithms by leveraging sophisticated Advanced custom functions for data cleaning.
This allows it to intelligently identify connections that other tools miss, such as matching "Chief Executive Officer" with "CEO.".
By using Flookup Data Wrangler, Mac users can:
- Perform advanced fuzzy lookups: Merge disparate datasets, such as combining customer lists with slight name variations.
- Identify and remove duplicate entries: Detect and eliminate redundant records, even with minor variations, preventing data integrity issues.
- Clean and standardise messy data: Transform inconsistent entries like "New York", "NY" and "NYC" into a single, uniform format.
- Automate data matching processes: Schedule recurring matching tasks to run automatically, saving significant time and effort.
Comparing Power Query and Flookup
| Feature | Power Query (Excel) | Flookup (Google Sheets) |
|---|---|---|
| Core Technology | Compares text characters using the Jaccard similarity algorithm | Compares text by meaning using advanced custom functions. |
| Best For | Simple typos and minor spelling variations. | Complex variations, synonyms and acronyms. |
| Collaboration | File-based, limited real-time options. | Cloud-native, built for real-time team collaboration. |
| Ease of Use | Integrated, but can have a steeper learning curve. | Simple and powerful custom functions. |
Best Practices for Any Method
Regardless of the tool you choose, following these best practices will ensure better and more reliable results:
- Clean Your Data First: Before matching, use data cleaning tools to remove extra spaces, standardise case and remove irrelevant punctuation. This reduces unnecessary variations.
- Test with a Small Sample: Before running a fuzzy match on your entire dataset, test it on a small, representative sample to ensure the settings and threshold are correct.
- Always Back Up Your Data: Data cleaning can be a destructive process. Always work on a copy of your original data to prevent accidental data loss.
Beyond Mac Excel Limitations
While Excel for Mac now has a basic fuzzy matching capability through Power Query, it is not the most powerful tool available.
For Mac users who need truly advanced, accurate and intelligent data matching, Flookup for Google Sheets is the definitive solution.
It overcomes the limitations of older, algorithm-based tools by bringing AI-powered semantic understanding to your data, all within a collaborative, cloud-based environment that works seamlessly on any operating system.
Frequently Asked Questions
Does Excel for Mac have built-in fuzzy matching?
No, Excel for Mac does not include a built-in fuzzy matching feature. The Excel Fuzzy Lookup add-in is only available for Windows. Mac users need alternative solutions such as Google Sheets add-ons or cloud-based tools to perform fuzzy matching on their data.
Can I use Power Query for fuzzy matching on Mac?
Power Query is not available in Excel for Mac. Microsoft has not ported this feature to the Mac version, leaving Mac users without access to Power Query's merge-with-fuzzy-matching capability. This is a significant gap that tools such as Flookup for Google Sheets can fill.
What is the best alternative to Excel Fuzzy Lookup for Mac?
Flookup for Google Sheets is a strong alternative, offering Levenshtein, phonetic and semantic matching within the spreadsheet environment. For users who prefer offline tools, Python libraries such as fuzzywuzzy or RapidFuzz provide powerful fuzzy matching capabilities on any platform.