Custom spreadsheet solutions which survive long after the developer has "left the scene", are often those which users accept because they discover it _ among other benefits _ makes their work quicker and easier to do. That is why the best person to develop such solutions tend to be one who works in that area, and is therefore familiar with the way the manual system operates. S/he would have an "insider's" perspective of the best way to introduce automation other users will readily adopt _ even as it solves the identified problem(s).
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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.
You will find this article of considerable reading value, if you belong to at least ONE of the following spreadsheet user categories: Owners of Small Businesses _ Restaurants/Bars, Hotels, Hospitals, Factories, Consultants etc; Decision Makers/Job Holders in Corporations _ Materials Managers, Sales/Marketing Analysts, Financial Analysts/Accountants, Project Engineers; And Anyone desiring to make BETTER sense _ and use _ of data!
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