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Bonus Tip: Stick with Conventions I mentioned before that the buttons on the hard-to-use spreadsheet were square. If you look at just about any website using a button the ratio of width to height falls roughly in the range 2:1 to about 5:1. Sizes too far outside this range look a bit strange and are not as readily identifiable as buttons. Hyperlinks that you create in Excel can be formatted any colour you like but unless there is a good reason stick with the well-known blue and underlined as in ExcelProductivityTips. The spreadsheet templates that used to ship with Excel were formatted with light yellow for areas of data entry and light green for results. Some people still use this convention.
How do they compare to project management software? What are the benefits of each and when should you make the switch to project management software? While only you can make the determination as to when you should make the switch this article will walk through the benefits of each and provide some guidelines. Depending on which research you rely on the market for project management software is between $1.5 billion and $3.5 billion. That is for software that is specifically designed to support project management. Most organizations that have made significant efforts towards effective project management have recognized that it is very difficult to manage a greater number of projects and people or a larger project without the support of technology.
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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.