Variable Costs Control/Reduction was a strategy that worked extremely well for the company. Most memorable for me as a brewer, was the manner in which huge monetary savings/profit gains were made by successfully implementing variable cost reduction initiatives. For instance, a brewing ingredient switch was made to a more readily available local alternative which was many times cheaper, resulting in phenomenal savings and progressively increasing profit earnings even though the price of beer produced was not raised. This practice was routinely applied across the brewing and packaging processes in line with a well thought out plan.
To elaborate further: A one_page Variable Costs Analysis report sheet automatically generated by the custom spreadsheet application I earlier described, was a powerful tool used by top management to quickly assess performances of individual breweries. Among other benefits, the report made it quite easy to realistically compare sister breweries in different locations(even across countries) based on common denominators. Apart from summarising brewing/packaging materials in two groups _
You can choose to learn how to do it yourself _ or call in someone(an Excel VB Solutions Developer for instance) who knows how. Again, this would be dependent on your purpose, how proficient you are, and/or how much time you have at your disposal. Ultimately, even if someone develops a custom application for you, it should happen with YOUR guidance at every point to ensure that it does EXACTLY what you want it to do, and that you can easily _ with your developer's support/coaching _ learn how to make modifications to it in future, without needing to call back your developer.
You will find this article of considerable reading value, if you belong to at least ONE of the following spreadsheet user categories: Owners of Small Businesses _ Restaurants/Bars, Hotels, Hospitals, Factories, Consultants etc; Decision Makers/Job Holders in Corporations _ Materials Managers, Sales/Marketing Analysts, Financial Analysts/Accountants, Project Engineers; And Anyone desiring to make BETTER sense _ and use _ of data!