Leonela Yasmine June 11, 2021 Spreadsheet
”Rippeto‘s Rendezvous” was only a block away, and attracted patrons from all levels of the social spectrum: Primarily fringe types, college students, and the occasional Young Urban Professional. It was near the University, and close to Civic Arena and Three Rivers Stadium. On clear nights, you could look out Rippeto‘s windows and see the Monongahela River afire in the distance. Two things are striking about Rippeto‘s when one weasels through the wall of humanity standing outside, and plasters oneself against an identical living wall inside: The smoke and the smell.
I don‘t think so. My husband and I weren‘t a great married couple but we were excellent business partners. We almost never, actually maybe NEVER, fought about money. We agreed on how to raise our kids and were always honest about our finances. He made a lot of money and I had some money of my own from my grandmother and would inherit when my parents died. I knew that we would be able to sort through these things better on our own. Most significantly, he LOVED to make spreadsheets and certainly would not be willing to pay someone else make one for him. I did some research on the internet to see what our options would be. I knew we couldn‘t do it ourselves but that we would need some assistance because our finances were complicated. I learned about divorce mediators, professionals who work with couples at an hourly fee to help them navigate the process. It sounded like it would work for us so we agreed to find one. And we did. Well, I did.
Lester loved his numeric universe, but this was not how he had envisioned his life unfolding; flying hither and thither from his hometown of Hershey to wherever his firm wished to send him. Just because he was 38, single, and still living with his folks didn‘t mean his employer should take advantage of him which, in fact, his company did on a regular basis. After all, Lester had other important interests, too. The ”Four Bs” he called them: Botany, bowling, bugs and Buddy Holly. Myriad plants crowded his tiny room in his parent‘s house, forcibly sucking carbon dioxide out of anyone who entered. Bowling trophies – ranging in size from tiny silver cups to massive bronze edifices shaped like the Empire State Building – claimed space not dominated by flower pots, planter boxes, and hanging baskets.
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!”
When presenting your business plan to an angel investor you must understand that they will be very interested in your spreadsheets and proformas, but you must also realize that it is typically an entrepreneurial optimistic approach, which causes problems with proformas. Therefore, you should have dueling spreadsheets; that is to say the spreadsheets, which take your best guess and double the time, double the expenses to compete with your optimistic approach. You should be able to present both of these to your Angel Investor; who chances are is a retired business person with a little bit of financial savvy.
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.