In the ever-evolving landscape of Microsoft 365, users frequently encounter the challenge of moving complex data from Excel into Microsoft Lists. One of the biggest hurdles is importing multi-choice columns without losing their structure or having to painstakingly edit each item one by one. In a recent YouTube video, Giuliano De Luca [MVP] demonstrates a smart and efficient workaround to address this issue, making it easier than ever to preserve and utilize multi-choice data during imports.
This news story explores the key insights from De Luca’s video, highlighting the process, its benefits, and the tradeoffs involved. The approach not only saves time but also opens up new possibilities for data management in SharePoint - Lists and Microsoft Lists.
Traditionally, importing tables from Excel into Microsoft Lists often resulted in problems when dealing with columns containing multiple selections. De Luca’s method introduces a simple yet powerful solution: users separate each choice in a cell using the ;# delimiter. This format ensures that, upon import, Microsoft Lists recognizes the data as a multi-choice column rather than a single text string.
As a result, users can maintain the integrity of their data without the need for additional scripts or manual reformatting. The process is straightforward—prepare the data in Excel, insert the appropriate separator, and then import the table into Microsoft Lists or SharePoint. This approach balances simplicity with functionality, making it accessible for users of varying technical backgrounds.
One major benefit of this method is the significant boost in efficiency. Users no longer have to edit each list item individually to assign multiple choices. Instead, the import process automatically converts separated values into an array, suitable for advanced operations such as JSON formatting, filtering, and searching within Microsoft Lists.
Furthermore, this technique enhances the accuracy of data migration. By automating the conversion of multi-choice fields, the risk of human error is minimized, ensuring that large and complex datasets retain their intended structure. This is particularly valuable for teams managing projects, inventories, or surveys where data consistency is crucial.
While the technique is efficient, it does introduce certain tradeoffs. For instance, users must adhere strictly to the prescribed format in Excel, using the ;# separator for all multi-choice cells. Any deviation may lead to incorrect imports or lost data, requiring careful preparation before import. This step is critical, especially in larger datasets where inconsistencies can be harder to spot.
Additionally, although the process automates much of the conversion, users may still encounter limitations if their Excel data is highly customized or contains nested structures not supported by Microsoft Lists. Balancing ease of import with data complexity remains a challenge, and in some cases, further manual adjustment or automation via tools like Power Automate may be necessary.
De Luca’s approach stands out for its practicality and immediate impact. By leveraging a simple delimiter, users can unlock advanced features in Microsoft Lists without relying on external scripts or extensive training. This innovation not only streamlines current workflows but also encourages broader adoption of Microsoft Lists for business-critical tasks.
Looking forward, as Microsoft continues to enhance integration between Excel, SharePoint, and Lists, methods like this could become standard practice. However, ongoing user education and clear documentation will be key to ensuring smooth adoption and minimizing errors during the import process.
In summary, Giuliano De Luca [MVP] has provided a valuable solution for importing multi-choice columns from Excel into Microsoft Lists. This smart workaround addresses long-standing challenges, offering a balance between simplicity, accuracy, and advanced functionality. As organizations increasingly rely on digital lists for collaboration and data management, techniques like these will play a vital role in driving productivity and data integrity.
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