Edward Deming and his system of profound knowledge come to mind here. The realization that many dashboards simply result in what Deming calls “tampering” by management. And unfortunately the unexplained wiggles are some of the most tempting data points for this…
Insightful. Perhaps the broken link in the analytical value chain is not in the stack at all but in the habits of users. Is there hope this confusion will be resolved as the analytics discipline matures or will products step in to simplify and guide users to what they really needed from all those dashboards in the first place?
Edward Deming and his system of profound knowledge come to mind here. The realization that many dashboards simply result in what Deming calls “tampering” by management. And unfortunately the unexplained wiggles are some of the most tempting data points for this…
I have thought a lot about simple metrics vs flashy data insights recently.
The data/dashboards that make a difference in my personal life on a day to day basis are never “insights.” Here is a short list.
1) fuel gauge on my car - I get gas when it’s low
2) apple watch 3 rings - try to go on a walk when my exercise ring is low
3) scale - try to adjust my exercise to calorie ratio when the number gets higher
No amazing insights from data - just numbers with clear actions to take to change them.
As has been mentioned - accountants have this stuff nailed down pretty well. Not sure why it’s taking the rest of us so long… 😁
Insightful. Perhaps the broken link in the analytical value chain is not in the stack at all but in the habits of users. Is there hope this confusion will be resolved as the analytics discipline matures or will products step in to simplify and guide users to what they really needed from all those dashboards in the first place?