• Motla has developed a system to normalise as-is data captured from the actual invoices to reflect a more accurate picture of actual utility consumption and rand values.
  • This system caters for the following scenarios that takes place on monthly invoices:
    • Estimates
    • Missing data
    • Varying meter reading days
    • Account errors
    • Irregular meter reading periods
    • Only rand values appear on the invoice
  • This is stored as two separate datasets. The as-is dataset is financially auditable and will mirror the invoice data.
  • The normalised dataset is not financially auditable because the data has been altered from the original source document, but provides a more accurate picture and is used for reporting purposes.