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Home Mortgage Calculator Excel Spreadsheet

Home〉Spreadsheet〉Home Mortgage Calculator Excel Spreadsheet

Spreadsheet Home Mortgage Calculatorxcel Full Year Amortization Schedule Spreasheet Calculator Excel Reverse Loan Comparison Reducing Balance

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.
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.
From this point on, I will refer to only one of the above mentioned applications, because it is my preferred work environment. That is Microsoft Excel. I believe users of other spreadsheet applications will be able to adapt whatever I say from here for use in their own peculiar environments.
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!