Originally posted by Avinash Kaushik - the Google data science evangelist. The list below shows 8 of them.
#12: Almost all reporting is off custom reports.
#11: Close to zero aggregated analysis exists, everything's segmented.
#10: The KPIs in your DMMM reflect your company size/evolutionary stage.
#9: Your qualitative analysis practice rocks like crazy!
#8: Your Team's DC, DR, DA effort allocation is 15%-20%-65%.
#7: 25% of all analytical effort is dedicated to data visualization/enhancing data's communicative power.
#6: All automated reports are turned off on a random day/week/month each quarter to assess use/value.
#5: 80% of your external consulting spend is focused super-hard analysis problems.