The assignment was not an accident. Before being redeployed to Benin brewery, I had been involved in "validating" the numerous complex formulas in the custom Lotus 1θι spreadsheet application during its development. The author _ Richard Chambers _ was at the time in charge(as Training Coordinator) of training new entrants, and upon discovering my keen interest in learning, often gave me his laptop to "proof" formulas, links etc. It was he who had told his counterpart in Benin brewery(Joe Sheehy) that I could help out with a problem they were having using the application. And I did resolve the problem _ resulting in my subsequently becoming responsible for the reports collation using the application.
In addition, visualise it having dynamic query/report drop menu interfaces, and a variety of custom buttons: for navigation(within and between worksheets), printing, data export (as PDF documents or spreadsheet files), saving, auto_data filtering, auto_charts plotting, auto_backup of files, user login authentication (for documents with sensitive or confidential content) etc.
In effect what I am saying is that companies which get the most value from spreadsheet automation(including using it to avoid expenditure on less adaptable commercial off the shelf applications) will be those which empower their users to routinely generate "in house" solutions. In such companies, you will find that only when the requirement becomes considerably specialised or complex, does the IT department get called upon to develop or purchase software solutions for user departments or functions with significant data recording and analysis needs.
The visiting head of the technical function only needed to look at the most recently plotted point on the chart (relative to preceding ones) for a Key Performance Indicator like. Cost per Hectolitres brewed(One Hectolitre = 100 Litres), to know if the brewery had stayed within the approved upper limit of spend(plotted as a straight line target across the same period) or not. Discussions would then take place based on identified "Exceptions"(which could be "good" e.g. savings made or "bad" e.g. monetary loss due to materials over_used), and "Actions To Be Taken" to correct or maintain observed performances agreed upon.
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