Laverna Philippine May 2, 2021 Spreadsheet
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.
Most planners are good at multi-tasking and have no problems designing a simple spreadsheet to handle a basic budget or designing a form to handle registration. So, you spend your time designing and stressing out. You end up with a variety of forms that each handle a specific need like registration, exhibits, food expenses and budget. The forms are not connected and do not work together. Hence, you end up having to do additional work merging the information from the various forms into your budget. Why do this when there is a Budget Spreadsheet for Meetings on the market that will tie your history, individual forms and budget together? It is so easy that all you have to do is enter the information. The spreadsheet does the rest.
Oh my goodness, it‘s not surprising that so many couples who want to get divorced just stay separated for years. The process is daunting, expensive and, frankly, ridiculous. Basically I had to stop communicating with my husband immediately. Going forward all communication would be between my lawyer and his lawyer. We would turn in all of our financial documents and her paralegals would put them into spreadsheet form and then we would go about dividing everything up. We would have to come up with a parenting plan, my husband and I, with these two lawyers translating for us. We would have to get employment contracts from his employers so I knew that I was getting a fair share of all of his assets. It was going to be long and drawn out and messy. And the cost, somewhere between $15,000-$100,000, minimum.
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.
He was an ex-divorce attorney who had seen firsthand what a messy thing divorce was when lawyers were involved. He developed a program where a couple would meet together, with him present, and work through the divorce piece by piece. Property, finances, kids, pensions. It was a great system. And he was cheap! Relatively speaking. It took about 10 months including some stops and starts (”what do you mean you want some of my inheritance? if you want my inheritance then you STAY married to me”) but in the end we were able to come to terms with each other in a reasonable and fair way.
Microsoft Excel is a phenomenally powerful calculator. You can create spreadsheets with 10,000 lines of data and calculate subtotals instantly. Indeed, if you change your data, any totals will get automatically updated. Arguably that‘s not too impressive. If we have quarterly revenues of $1m, and we secure another $20k, we can update our subtotal without summing revenues from scratch. So it‘s more impressive that Excel can do the same thing with statistical functions. If you‘ve ever plotted a chart on Excel, you may be aware that you can add a best fit line. These best fit lines are calculated using a method known as regression. Basically, you have to calculate the distance of every single point from the line, and minimise the sum. The maths is a little more sophisticated but the key point is that, every time you change the data, you need to perform the analysis all over again.
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