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Revenue - Northwood revenue reporting

SME Professional can provide revenue balances between specified date ranges for reporting purposes. For consistency and accuracy, it is strongly recommended that the Month-End Reconciliation process be completed before generating this export, as this will lock the relevant transactions. More information about this reconciliation process can be found here.

To export the data, the process for our Franchise users is as follows

  1. Navigate to Admin > Exports

  2. Select Bank lines from the Financial section

  3. On the pop-up, enter the required date range for the report

    • A full, completed calendar month is typically recommended.

  4. Please bear in mind that bank transactions will be imported into SME Professional until the previous working day, so any date range selected should only be up to this date

  5. Leave Include manual/uncleared lines unticked

  6. Click Go

  7. This will produce a CSV file that can be saved

Nominal codes can be applied to this export for further compatibility with management accounting software. For information, please contact the support team at [email protected].

To further organise and interrogate the data

  1. On the export, select all data on the tab by clicking the triangle in the top left

  2. Then select the Insert tab from the toolbar and select PivotTable

  3. From the pop-up, select New Worksheet and then click OK

  4. Click anywhere within the PivotTable to display the fields

  5. Select the following data:

    1. Sum of Amount (Gross)

    2. Sum of Amount (Net)

    3. Sum of VAT

    4. Third-party account name

    5. Sub-category

  6. Click and drag these categories to the required areas

  7. Navigate to the PivotTable Analyse tab from the toolbar and select Insert Slicer

  8. Tick VAT, then select OK

  9. Toggle Multi-select and remove 0 from the selection

  10. This will then leave only the relevant data in the table

When saving the spreadsheet, ensure that the file is saved in Excel workbook format (for example, .xlsx) rather than as a CSV file. This will ensure no data is lost.

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