Spreadsheet Automation Facilitates EFFORTLESS Data Handling, Analysis & Report Generation! Sometimes people don't really care about learning(or using) all the "cool' advanced functions, formulas and techniques in the spreadsheet application they use for their work. They just want to punch in their relevant raw data _ at any time _ and immediately see the computed results generated by the spreadsheet in a manner that can facilitate their important decision making.
Why Excel Visual Basic _ and NOT Visual Basic? I always answer this question by asking the following question: What would be the point of "Killing A Fly With A Hammer"? Let me elaborate. If a method is available that allows us to achieve the same desired result(s) at LOWER cost, with LESS effort and in LESS time, why should we fail to adopt it? Certain IT persons insist that developing executable applications using the standalone Visual Basic programming language is "better" as it does not limit the user to a particular user application software environment. I concede that this might be a valid point under certain conditions. However, I point out that there are many users who have peculiar needs that do not necessarily require complex solutions. A lot of people today simply want to get their data recording, (re)organisation, and analysis for decision making done quicker and with less effort. They also want to spend as little money as possible to do this. In other words, they want a cost_effective solution that gives them independence from the solution provider in the long term _ without requiring them to undertake laborious skills acquisition immediately. This category of everyday users of technology described above are the ones I believe need Excel VB solutions of the type I describe. One expects that some of these users will over time develop an interest in acquiring advanced skills needed to develop their own solutions in future _ which is why I also encourage them to do so, possibly via self_tutoring, like I did.
In my article titled You Can Increase Your Profits Without Changing Your Prices, I ended with the following summary: If You Remember Nothing Else, Remember The Following: 1. One good way to maintain and/or significantly increase your profits without raising your prices, is to reduce your Variable Costs(VCs). 2. You can reduce your variable costs by marketing more efficiently (getting more customers at lesser cost, AND maintaining them at lower expense). I once read an article that proposed a new parameter COCS: Cost Of Customers Sold or Served). This could be adopted as a Key Performance Indicator(KPI). 3. You can also reduce your variable costs by innovating more(i.e. developing greater efficiency in your routine internal operations and/or product/service delivery). That way, you would be able to produce/deliver more products and/or services with less effort, in less time, and using less resources. All of these would imply LOWER expenses/costs, leading to INCREASED profit retention per unit of product/service sold. 4. There is saying that: "You cannot manage something, if you do not measure it. Nor can you measure it, if you do not record it". Spreadsheet tracking will help you conveniently implement and sustain the process of monitoring, controlling and/or reducing your VCs. You will need to do this so as to constantly evaluate progress of your VC monitoring/control and reduction initiatives.
Deciding What Spreadsheet Application To Use. This would ultimately be up to you. The big "fight" has always been between Lotus 1θι and Microsoft Excel. I started out with Lotus 1θι back in 1993 and learnt Lotus Macros programming(via self_tutoring). I eventually used this skill to develop _ in my free time _ various custom spreadsheet solutions(that were formally adopted for use in the departments I worked in as a brewer/manager in Guinness), before switching to Microsoft Excel in 2001. Subsequently, I developed my Excel Visual Basic spreadsheet programming skills (also via self_tutoring), because the company had chosen to adopt MS Office during the roll over to year 2000.