Andree Éléonore June 5, 2021 Spreadsheet
This will show your Angel Investor that you indeed are a rational thinker and concerned about the money as well as the truth. If the Angel Investor cannot trust you your chances of being funded are nil. An angel investor is betting on the jockey not only the horse. As an entrepreneur you must be honest with yourself as well as your financial partner. They want to make sure you believe in what you are doing and that you also have risked your own capital, time and energies into the new business. Angel investors want you to succeed and often they also like to give their input and if you end up taking their money for your startup, the need to realize that their input needs to be taken seriously.
You can go over your budget as often as you like. Some find it easier to enter amounts every day after they‘ve settled in for the day. Others will choose to go over it monthly. Going over it weekly is likely where most will settle though. Occasionally, we‘ll have a surplus or deficit at the end of the month. Perhaps you‘ve spent too much, or not spent all that you thought you would. Spending too much can be troublesome, but not spending as much as you thought can be a lot of fun. You may want to consider adding a budget field carryover in the income sheet and one called shortfall in the expenses sheet. If you spent too much, the amount that you overspent by becomes your budgeted amount for shortfall in your expenses sheet the next month. Didn‘t spend enough, and you put that amount in the carryover field in the income sheet. This will help you keep track of all your money as well as account for any shortfalls.
Lester‘s temporary office at the Factory was glassed on all sides, and surrounded by the sights, sounds, searing temperatures, and smells of the smelting and pouring areas. Originally, the cubbyhole had been used for storing coal and coke until the plant converted to gas-fired furnaces in the mid-‘50s. Over the next three decades a succession of plant superintendents used the room to boink their secretaries, which necessitated its windows being painted a squalid olive drab. During 10 years of performing this chore every six months, Lester had scraped two panes clear, so now he could gaze into the murky, smoky, smelly pit outside as he waited for the grinding computer and clackety printer to spit out a stream of spreadsheets.
Lester P. Goodbinder had suffered another agonizing week in Pittsburgh. The semi-annual audit he conducted at the Bourgeois Ball Bearing Factory stretched into five 14-hour days examining electronic spreadsheets on an archaic computer system installed in the early ‘80s. The equipment churned so abysmally he cleverly joked to himself it was powered by lazy hamsters on treadmills. Not only that, the accounting software loaded on the system was an early version of ”Abacus,” and only slightly faster than a key-punch adding machine but considerably slower than a hand-held calculator.
These common complaints with Microsoft Excel filtering are heard time and time again by engineers, accountants, management consultants, bankers and finance professionals who work with data in Excel spreadsheets on a daily basis. Many spreadsheet users including financial modellers (who seem to be leading the charge) are turning towards Excel Add-ins and software tools that plug into Microsoft Excel to help them improve the in-built filtering logic of Microsoft Excel and thus analyse certain data sets quickly and easily.
Spreadsheets such as Microsoft Excel are well suited to tasks involving the manipulation of small amounts of related data. Working out a budget, producing visual reports, organizing lists and calculations that involve many variables are all tasks well suited to a spreadsheet. There are some data related tasks however that spreadsheets such as Microsoft Excel are not suited for. Tasks involving the processing and combination of large sets of data for example are generally not well suited to spreadsheets. There is another technology with a long history and theoretical background that specializes in these sorts of tasks. That technology is relational databases. The most common way people insert data into and extract data from relational databases is via the language of Structured Query Language.
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