In effect what I am saying is that companies which get the most value from spreadsheet automation(including using it to avoid expenditure on less adaptable commercial off the shelf applications) will be those which empower their users to routinely generate "in house" solutions. In such companies, you will find that only when the requirement becomes considerably specialised or complex, does the IT department get called upon to develop or purchase software solutions for user departments or functions with significant data recording and analysis needs.
"Over_used/Over_spent"(Losses) and "Under_used/Under_spent"(Savings) _ on a monthly basis based on data entered, the program also automatically plotted charts showing trends over a 12 month period.
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.
A DIFFERENT Type Of Automation. The approach to spreadsheet automation that I refer to, is one that seeks to provide functional spreadsheet automation alternatives for ANY spreadsheet user task(s). Typically, solutions like this would require the developer to study existing manual data recording, analysis and report generation systems, then plan _ in consultation with users _ for incorporation of automation into the spreadsheet to replace them, where possible.
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