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It is easy convenient and I admit ego-boosting to show off what I can do in a spreadsheet. With that in mind let s look at some of the differences between these two different types of tools. For the purposes of this article I selected six criteria by which to make the comparison. These were selected from the feedback of customers and prospects as well as learning what is important for the successful adoption and implementation of project tools within an organization. Data Mining Data mining is a huge part of project management tools. The whole reason for having a tool is to collect data so that you can look intelligently at that data make sure your processes are performing as advertised and make good decisions.
You need to know which projects and tasks are slipping through the cracks so that you again react. You need to know when you will not have enough resources to meet demand so that you can allocate them properly or manage the demand. You need to know which issues are lurking so that you can address them now before you lose the favor of a critical customer. And you need to see how your processes are working so that you can continuously improve your processes. In today s economy competitive landscape and accountability standards you must have the data. Managers are getting blindsided because they do not know what is coming and what is going on.
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The use of color in your spreadsheet is an extremely important consideration. Color can help emphasize particularly important data and separate it from the rest of your information. Spreadsheets that feature a lot of accounting data often use red to show failing areas and green to signify profiting ones. Choose your color schemes wisely as you do not want to obscure the data presented in the cells. Black type on a dark burgundy background would not make for easy reading just as white type on a fuscia background would not make for a pleasant experience either. Try pastels as they are easier on the eyes and allow for an easy read.