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Here was a spreadsheet that had been created by someone with a good knowledge of formulas and functions. But... it was not obvious at first glance what to do with it. Do I click on one of these buttons? Do I need to enter some data? Where do I enter the data? On closer examination these were the problems that made it difficult to use: - There was no heading or title. - It was very dense in terms of the number of cells showing on screen. - Ranges of cells were formatted in five different colours. What did it all mean? - Help provided was limited to brief comments in some cells and some of these were in hidden columns. - The sections for data entry and the sections for results were not clearly separated. - Macro buttons were square in shape.
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.