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Best Accounting Software for Small Businesses in Norway (2026 Guide)

Best Accounting Software for Small Businesses in Norway (2026 Guide) Running a small business in Norway is not cheap — and choosing the wrong accounting software can cost you time, money, and compliance headaches . Norwegian businesses must comply with Skatteetaten , A-melding , VAT (MVA) reporting, and strict payroll rules. Manual accounting or outdated systems simply don’t scale anymore. In this guide, you’ll discover the best accounting software for small businesses in Norway in 2026 , with clear comparisons, pricing, and real-world use cases. Quick Answer: Best Accounting Software in Norway (2026) Software Best For Payroll Price Range Tripletex Growing SMEs & accountants ✅ Yes Medium PowerOffice Go Simple, cloud-first businesses ✅ Yes Medium Visma eAccounting Micro & solo businesses ⚠️ Limited Low Fiken Freelancers & startups ❌ No Low 24SevenOffice Larger SMBs ✅ Yes High If you want a safe, compliant, and future-proof sol...

Unlock Excel's Hidden Trick: Instantly Split One Column into Multiple with This Simple Hack!

 

Unlock Excel's Hidden Trick: Instantly Split One Column into Multiple with This Simple Hack!

Converting data from a single column into multiple columns in Excel is a common task that enhances data organization and readability. Whether you're managing names, addresses, or any delimited data, Excel offers several efficient methods to achieve this transformation. Below, we explore three primary techniques:

  1. Text to Columns Wizard
  2. Flash Fill
  3. Power Query

1. Text to Columns Wizard

The Text to Columns feature is ideal for splitting data based on a specific delimiter, such as commas, spaces, or tabs. Here's how to use it:

  1. Select the Data:

    • Highlight the column containing the data you want to split.
  2. Access the Wizard:

    • Navigate to the Data tab on the ribbon.
    • Click on Text to Columns.
  3. Choose the Delimiter:

    • In the wizard, select Delimited and click Next.
    • Choose the delimiter that separates your data (e.g., comma, space).
    • Preview the results in the Data preview window.
  4. Set the Destination:

    • Click Next and specify where you want the split data to appear.
    • Click Finish to complete the process.

This method is particularly useful for data exported from databases or other applications where fields are separated by specific characters. citeturn0search2


2. Flash Fill

Flash Fill is a powerful tool that automatically fills data when it senses a pattern. It's perfect for splitting data without a consistent delimiter. Here's how to utilize it:

  1. Enter the Desired Output:

    • In a new column, type the first instance of the desired split data.
  2. Initiate Flash Fill:

    • Start typing the next instance; Excel will detect the pattern.
    • Press Enter to accept the suggestions.
  3. Apply Flash Fill:

    • Alternatively, after entering the first instance, press Ctrl + E to auto-fill the remaining data.

Flash Fill is intuitive and works well for data like names, dates, or codes that follow a consistent pattern. citeturn0search3


3. Power Query

For more complex data transformations, Power Query offers advanced capabilities:

  1. Load Data into Power Query:

    • Select your data range.
    • Go to the Data tab and click on From Table/Range.
  2. Split the Column:

    • In the Power Query Editor, select the column to split.
    • Go to the Home tab, click on Split Column, and choose by delimiter or by number of characters.
  3. Finalize and Load:

    • After splitting, click on Close & Load to return the transformed data to your worksheet.

Power Query is especially useful for handling large datasets and performing repetitive tasks efficiently. citeturn0search0


Tips:

  • Backup Your Data: Always create a copy of your original data before performing transformations.
  • Check for Consistency: Ensure that the data follows a consistent pattern to achieve accurate splits.
  • Utilize Undo (Ctrl + Z): If the result isn't as expected, you can easily revert the changes.

By mastering these techniques, you can efficiently manage and analyze your data, making your Excel experience more productive and insightful.

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