The intelligent use of spreadsheets, combined with the application of the 80ᚼ rule will help to achieve the foregoing and more. One does not need any expert to start doing these things today. Just take the decision to start keeping daily, accurate records and commit to analysing them. You'll be surprised to find that you will soon become much more aware of how you're doing and what aspects of your business you should focus on more to get better returns for your efforts _ and you will be able to confidently supply verifiable/authentic financial data to back up any claims you make about your business performance to bankers or prospective investors.
For instance if a company had five drink brands in the market but notices that Brand A, which has a profit margin of at least twice the others is in greatest demand, they could (a) focus production efforts on that brand, so that more bottles go out to trade (b) Apply Best Practice/Continuous Improvement initiatives that would result in lower costs of producing each bottle of Brand A so that even though the market price remains fixed, the company is able to earn increasing profit margins per bottle.
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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