Short YouTube discussion (by Paul Barnhurst) arguing that poor data quality undermines even strong software solutions. Speaker A emphasizes that data often needs cleansing and remapping before implementation, that cleaner data eases deployment, and cautions against assuming out-of-the-box templates fully solve integration problems.
When you look at your data, often companies look at their data and go, yeah, it's exactly as I want it to be, but often it's not. So we'd have to put in some solutions to help kind of cleanse that data and remap the data and things like that, which, again, just takes time. The cleaner your data is, the smoother your implementation is going to go. I will say some of the other things as well is just often where we've seen projects fail is where companies have gone. Let's just get what's out of the box from a solution. Now, a lot of these solutions don't have out of the box, but they have some templates that you can start with.
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