G
Guest
I currently use a spreadsheet with 100 machines on which I update 3
fields/machine each month with analysis notes. I begin by making a copy of
last months sheet, paste in the same workbook, rename the sheet for the
current month then update fields with current data (notes). Most fields stay
the same but about 20% of them change each month. Two of the fields are text
and one is a priority ranking 1-10. The text fields are notes which could be
unique for each machine each month but as it turns out, many machines share
common entries over time.
It is printed each month in spreadsheet form as part of a larger report and
for use on-site in the following months testing. It is also used to glance
at prior history 2 - 24 months back when analyzing raw data.
What is the most efficient structure in a database to accomplish the same
end as described above with the spreadsheet?
fields/machine each month with analysis notes. I begin by making a copy of
last months sheet, paste in the same workbook, rename the sheet for the
current month then update fields with current data (notes). Most fields stay
the same but about 20% of them change each month. Two of the fields are text
and one is a priority ranking 1-10. The text fields are notes which could be
unique for each machine each month but as it turns out, many machines share
common entries over time.
It is printed each month in spreadsheet form as part of a larger report and
for use on-site in the following months testing. It is also used to glance
at prior history 2 - 24 months back when analyzing raw data.
What is the most efficient structure in a database to accomplish the same
end as described above with the spreadsheet?