Vendors
are working hard to understand
how to best use retail POS
and inventory data which
is made available via EDI
852 or a web portal. Here
are five very common questions
vendors ask as they work
with our team to put a data
analysis solution in place.
What
is the difference between
EDI 852 and data available
on my retail customers
web site? The
most obvious difference
is the format of the
data. EDI 852 is a standard
document template but
it is encoded using line
identifiers and other
language necessary for
computers to make sense
of the data. EDI 852
must be parsed and translated
to be of any use to a
business user. Data available
in a retail portal is
typically either presented
on screen or saved into
a text or spreadsheet
format. These files do
not require translation
and can be opened in
a variety of Windows
programs. A second difference
is the level of detail
available. An EDI 852
document always includes
units sold by UPC but
it may not include on-hand
data. And receiving store
level EDI 852 data is
often an additional selection
and cost. Most retail
portals will provide
detailed store level
data files, or presentation
of detailed data on the
screen. Finally, and
most importantly, EDI
852 values for each UPC
can be different than
the values reported in
a file available on the
portal. This can be due
to different reporting
periods, different source
and/or additional source
system data, or a different
method of handling of
returns.
If
I can choose between EDI
852 and a file from my
retailers' portal which
one should I choose? This
decision comes down to
a few factors. First, does
the retailer charge a fee
for sending data via EDI
as opposed to accessing
the data on the portal.
Second, does the EDI 852
data provide less information
than the the portal. For
example as noted above
some EDI 852 files do not
include on-hand or store
level data. Finally, research
the data accuracy of the
two sources and choose
the one which will best
support your decision making
process.
What
types of reports should
I be using? There
are three reports that
form the backbone of retail
POS data analysis: item
sell-thru by store, inventory
on-hand by item and store,
and top selling items.
From these three reports
you can create a library
of very useful decision
support tools segmented
by geographic region, product
category, and by retail
partner.
Why
should I consider an outsourced
service for POS data analysis? For
most vendors working with
POS data falls outside
their IT organizations
typical scope of expertise
and tools. Simply put there
is a fairly large volume
of data which requires
translation, scrubbing,
and organization into a
sophisticated data warehouse.
The data does not fit into
most organizations ERP,
forecasting, or accounting
system so the IT department
if faced with building
a custom application. Then
end users need a simple
and quick tool to access
the data for analysis and
decision making. An outsourced
service can deliver the
necessary engineering and
software tools in a very
short period of time without
an expensive investment.
And outsourcing provides
a cost effective monthly
expenditure which aligns
with your cash flow instead
of a large capital expense.
Why
can't I just use a spreadsheet
for analyzing POS data? Spreadsheets
have many limitations when
it comes to analyzing POS
data not the least of which
is simple row and column
limitations. But more importantly
there is a significant
amount of work required
each day or week to accept,
transform, format, and
analyze data in an Excel
spreadsheet. Time which
your staff can avoid all
together by using more
sophisticated tools and/or
an outsourced service.
In addition spreadsheets
are generally not well
suited for team based collaboration
on data. Each time a spreadsheet
is opened the user has
the opportunity to change/edit
data which can rapidly
deteriorate the quality
of the data and cause significant
duplication of effort.
Do you
have a question not listed
here? Check out our FAQ or email
us and we will
post your question (anonymously)
to the blog along with an
answer.
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