Hi,My apologies in advance for the length of the question - I couldn't
figure out how to make it shorter.

I am trying to create an exhibit of customer data for "higher-ups". I
have 8
quarters of data so far, and will be appending more with each passing
quarter.  The overall population of customers numbers 400-550, with
around
200 of those buying product each and every quarter.
Each quarter's data is initially captured in excel and, beyond the
customers, consists of revenue and gp (gross profit) dollar amount
columns
and an ordinal ranking for that customer  for each of the two
measures.  It
is a requirement to be able to compare year over year (like quarter)
changes
in some, if not all, of the measures. I can either do that as formula
columns in my spreadsheet or as functions in my exhibit( thoughts?).
As you
can see I will basically have the same "properties" for each quarter:
rev$;
gp$; rev rank; gp rank; and then any formula columns I may use.
So, my question is, what is the best way to handle this? If I add the
values
as individual columns, I am concerned my dataset may eventually get
too
large.  If, for each quarter, I add a column (property) like "Q4-09"
with a
value for each customer like "1 - 22,000,000 - 3 - 1,750,000" (rank -
rev
amount - rank - gp amount), how will the user "massage" the data? i.e.
compare, say Q4-08 to Q4-09.
Again, sorry for being so verbose, and sorry if I have been unclear. I
work
at a company that is rather backward when it comes to web technologies
and
would like to demonstrate the usefulness of the semantic web and the
tools
available.  As you can see my conundrum is the similarity of each
quarter's
data.
Thank you in advance for any and all help you may offer.
Best Regards,
Kirk

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