Damian Carville hunted this down - a Summit presentation from 2006. Some main points from the video:
1. JMP is easy. If something is easy, it is more likely to get used.
2. JMP is better at getting the data. If you can't get the data, you can't use it to get information.
3. JMP is visual. If you can't visualize results, you probably can't communicate them well. JMP is practical, graphical, analytical. Excel is analytical, analytical, analytical. Excel's visuals don't compete.
4. JMP visualization and linked graphics enable rapid discovery. Linking isn't part of Excel's lexicon.
5. JMP doesn't require a data analyst to manipulate data. It is easy to concatenate, join, and split quickly. Excel doesn't offer those options and manipulation is cumbersome.
6. JMP lets you think about the problem. For example, digitial data can be almost as useful as continuous data. It is easy to convert data to binary values that make sense, when needed for simple problems. Excel just does spreadsheet calculations.
7. JMP continually offers new ways to think about problems.
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