6. This leads to creation of an exhaustive
data set, which can serve the need of
any analysis required to solve the
Problem Statement
7. When the problem statement is lucid
and exhaustive data gathering task is
half done since the metrics need to be
measured are already defined
8. Data generation process needs to be
thoroughly understood by the
managers to have an idea about the
quality of analysis being done
9. For example, a hospital that wants to
replace its ultrasound machines based
on the time it takes to perform an
exam using the new devices. But the
data show a surprising result: the new
device is taking longer to use than the
older one.
10. It turns out that more novice
technicians, who were naturally slower
than the experienced ones, were
choosing to use the newer device, and
this skewed the data.
Being mindful of the data source
prevents incorrect conclusions from an
analysis