3 SCOPE reduces Risk of using corrupted data
Wherever possible FP Analysts usually try and reuse previous counts stored in previous spreadsheets as a template to save time in recording the count ‘documentation’ information and count details.
MS Excel Counting
If the Analyst is able to find a spreadsheet to ‘reuse’ the fields entered by a previous count, this usually requires manipulation of the spreadsheet deleting and inserting rows to only include the processes and data impacted by the current project or deleting all previously used information. Typically the formulas have been set to derive totals from a pre-defined range of cells, these formulas are often corrupted when the analyst inserts new rows outside this range or deletes rows or columns or clears fields used for validation or providing static values. In a recent audit of Excel counts from a Global Outsourcing Organisation it was found that in every count the total FPs calculated by Excel were different than the actual manually counted project size (in once case 300% lower). In this case, the formula for summing the totals was only totalling 30% of the rows in the count. In another count rows had been ‘hidden’ unknown to the FP Analyst and these ‘hidden’ rows were being incorrectly included in the project size. When the project is large, or the count is completed quickly, the errors in calculations are frequently overlooked by the analyst who relies on Excel to calculate correctly. Other issues occur when an Analyst accidently reuses a count that was later corrected and therefore incorporating the previous counting errors into the latest count.
SCOPE was specially built to optimise count reuse but at the same time all its formulas are protected and it has inbuilt expertise to ‘check’ counts. E.g. SCOPE will automatically derive complexity of functions based on the number of FTRs and Dets linked and automatically derive whether a file is Internal or External based on how the processes access it. The only errors that can be inadvertently introduced into SCOPE counts are human errors introduced by the FP Analyst failing to correctly record if a Process or Data Group was impacted by the requirements of a project.
Reduces Risk and Cost
SCOPE avoids count errors due to spreadsheet formula corruption which based on our experience result in errors from 5% to 300% in the count result for Enhancement projects