The intelligent use of spreadsheets, combined with the application of the 80ᚼ rule will help to achieve the foregoing and more. One does not need any expert to start doing these things today. Just take the decision to start keeping daily, accurate records and commit to analysing them. You'll be surprised to find that you will soon become much more aware of how you're doing and what aspects of your business you should focus on more to get better returns for your efforts _ and you will be able to confidently supply verifiable/authentic financial data to back up any claims you make about your business performance to bankers or prospective investors.
Custom spreadsheet solutions which survive long after the developer has "left the scene", are often those which users accept because they discover it _ among other benefits _ makes their work quicker and easier to do. That is why the best person to develop such solutions tend to be one who works in that area, and is therefore familiar with the way the manual system operates. S/he would have an "insider's" perspective of the best way to introduce automation other users will readily adopt _ even as it solves the identified problem(s).
Another question I ask, in answering the "Why Excel VB?" question is : "Why re_invent the wheel? ". My experiences(and those of others who favour the use of Excel VB like I do), confirm that to organise, and analyse data for (financial/management) report generation and decision making, you will save hundreds of hours using already in_built, pre_programmed Excel functions compared to a situation where you used Visual Basic proper. All the functions needed to achieve the above purposes already exist in Excel, so that you don't have to write them all from scratch as would be the case if you were to use Visual Basic. 3.It works even when you lack "In House" expertise.
A person with proven competence in this area CAN become "notorious" for developing spreadsheet applications, which eliminate drudgery from the process of using MS Excel to handle large amounts of data. Typically, work that takes hours or days will suddenly take minutes or seconds to finish.
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