Lorin Amy June 9, 2021 Spreadsheet
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.
Given this data set imagine trying to find out which Fridays you were busy at an appointment at noon while your partner was also busy at an appointment at noon and the descriptions of both of your appointments contained the phrase down town. If you are not familiar with relational databases and SQL it might surprise you to know that the question can be answered by a single simple SQL query. The database and SQL don‘t have it all their own way however. Spreadsheets come in to their own for tasks that benefit from a visual representation. Traditionally databases do not provide a visual way to browse the data in tables without explicitly requesting data.
Paying off your debt and becoming financially independent has many important parts. The most important of those is creating a budget. A budget gives you an outline of where your money is going and where it should go. In some instances, it can be used to create strict limits for your spending. How well you stick to the budget is up to you. When you reach the end of your budget month, the balance for the month should be 0. Funds in – Funds out = 0. If you end up with a negative number, you‘ve overspent and will need to adjust by reducing budgeted funds in another category or by reducing the total amount of money available for the next month. If you end up with a positive number, you‘ve spent less than you made. Good for you! Now, put that money to good use. Pay down some debt, or put it into savings.
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.
”Happy crapola!” he exclaimed, rising from the rollered chair and scooping accordion folds of printouts into his tattered briefcase. He snatched his worn black suit coat from a hanger on the back of the office door, switched off the fluorescent overheads, and walked to the executive offices in the adjoining building. When his audit week ended, Lester typically teamed with Lance Lott for a tour of the local watering holes. Lance was a marketing guy he‘d met when he first worked the Bourgeois account. Lance also was single, and resembled Keanu Reeves on a bad hair day. Lester considered him a ”chick magnet,” and although he himself never got lucky on their semi-annual expeditions, the other always disappeared with a babe on his arm. Lester decided, tonight would be HIS night.
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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