Such is the innate aspect of data gathering and analysis. The more (relevant) data, the better. (What determines relevancy is not discussed here for brevity.)

Partial data will only serve as a distraction if you allow it to. EDIT: If you falsely present partial data as important, yes, then it very well probably is distraction because by you are facilitating it to be a distraction by virtue of presenting thusly. As consciousness, you should try to be aware of inappropriately disproportionately presented data expressed by others in your environment and to not let it serve as a distraction to you as an observer. For example, Fox News and how it goes about its interactions displaying information (true information, false information, incomplete information, etc.) with the masses is a popular subject for case study in this type of scenario.

If you are aware that it is an incomplete picture, then you should be fine. Again, the more data, the better. Be aware of limitations and incomplete pictures. Be aware of context. Same old story of much everything in life. Always be exploring further. Always keep on questioning what's happening in the environment and the universe. Ignorance is bad. Of course, balance is needed. Pros are something that exist. Cons are something that exist. Things exist. Actions exist. Interactions between things and other things with actions exist. Systems of interaction exist. It's turtles all the way down. But yes, based on history, most humans fail at comprehending their own basic existence, their interactions with others, and anything else contained within their neck of the universe. Rather depressing actually. Nothing new here.

EDIT: As far as what belongs or doesn't belong on a dashboard, that would take a long time for me to discuss. In this particular example provided in the original posting, yes, it has various flaws. Not discussing that.

Also, with regard to "the more data, the better", yes, irrelevant data has negative consequences and must be dealt with accordingly. Of course, the a perspective exists where you should try to identify irrelevant data and not gather it to begin with. Conversely, there is a perspective where you should gather it all so as not to presumptuously exclude and that the data itself will tell you what is relevant and irrelevant during analysis. Both approaches express certain positive merits and also negative qualities. Identifying what is irrelevant and what is relevant has its own intricacies which are not discussed here in any relatively significant capacity.