Corette Garance June 7, 2021 Spreadsheet
His entomological collection occupied any open areas large enough to accept skewered insects. And his Buddy Holly collection consisted of three scritchy albums the talented tunester recorded before dying at 22 when his plane crashed in Iowa. Lester wore black horn-rimmed classes identical to those of the late singer, and considered these a statement to the world that a ”cool” persona existed within his ”bean counter‘s” body. Too, Lester was a college graduate: Penn State, class of ‘78. He maintained a solid ”C” average over four years, and finally earned ”Certified Public Accountant” status on his fifth try. ”Reversing entries are hemorrhoids in the ass of accounting,” he remarked flatly during a first interview with his present employer, who dwelled briefly on his gradepoint average and numerous shots at CPA accreditation. ”They tricked me every time!” In spite of his lackluster academic record, the firm hired Lester and beginning Day One sacrificed him to Bourgeois and 20 other mediocre accounts.
He grossed $2,000 a week for his bosses, and earned slightly less than $500 for himself. Still, the wages kept him in seeds, bowling shoes, stick pins, and a Platinum Buddy Holly Fan Club Membership. Lester‘s favorite word was ”crapola,” and he applied it to the ball bearing factory‘s antiquated data processing system in coats as thick as the olive drab membrane clinging to the smudgy glass before him. ”You piteous piece of crapola!” he‘d hiss at the computer when error messages flashed across its screen or its ancient system locked under the demand of crunching numbers to the tenth decimal point. ”Some day I‘ll throw your sorry ass into one of those melting pots out there!”
Here‘s where the expense sheet gets complex. All of your categories of spending go in column A. Get as detailed as you like, or keep it really simple and just put the basic categories. Generally, the more detail the better. it‘s also helpful to have categories for your categories. A Utilities category for your power, gas, water, etc, categories. Again, detail is good, but be wary of going into too much detail. Column B is where you‘ll put the amount that you‘re budgeting for that category. Column C, how much you‘ve spent on that category to date. If you like (or are a statistics junkie) you can add columns for % of budgeted amount, and % of total budget as well. For our simple budget, we‘ll just leave that out for now.
Second – Planning your Budget – is this easy or are you going to start over from scratch? If you kept good records and have accurate figures, then you have a great start for you next meeting. It is easy to modify last year‘s information and make changes for this year. That will be necessary for a variety of reasons. You will need it to tell your hotel contact what you want and you will also need it to prepare this year‘s budget. Third – Budgeting Spreadsheet for Meetings – take the easy way out. Use a spreadsheet that will make your job easy. There are excel spreadsheets that can do it for you. Do not waste your time trying to design something that already exists and is proven to save you effort and stress.
In a well-designed spreadsheet, any output can be calculated from the raw data. However, that‘s not always enough. Sometimes the output is fixed and the raw data is variable. Let‘s say you run an investment company and want to offer your clients a fixed return. An Excel expert could create a very complex model to calculate the likely return on investments over a fixed period. You could then calculate the internal rate of return being offered to clients. The problem is that you‘re not interested in the return offered to clients; that is, after all, fixed. Instead you‘re concerned with how much money you expect to draw from the investment fund, whilst still offering your investors a satisfactory return. If you have $1 and owe investors a quarter, you can calculate your profits using a simple formula.
As a set of general rules data is most useful when things like text fields hold only names as well as meaningful and validated codes, categories and classifications. Text notes and other free form text should be isolated to a dedicated notes field and thus separated from other numeric data. Numeric fields should hold only numeric values (numbers, dates, %‘s and in the correct quantum or magnitude with no text prefixes, suffixes, spaces, text elements or text notes present. You must also be careful that numeric data is not stored as text and it should be internally consistent in terms of the correct format so that it can be used in calculations or for comparison and queries. Finally, addresses should be separated out into multiple fields such as street address, town /suburb, state / province, postal code and country to allow for geographic analysis and mail outs if required. Fixing up a data set to meet these criteria is called data scrubbing, cleansing or massaging. This data cleansing process can be very time consuming even for an experienced Microsoft Excel user, database engineer, business analyst or computer programmer.
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