It must be my philosophical bend but I love (almost) everything that
is meta, in particular I love
metaphysics. This allows me to define metadata in a slightly different fashion.
In fact, the prefix meta denotes
something that is beyond or transcends the physical contingency of an object.
Now what is data? David Loshin authoritatively defines data as “…a collection of raw value elements or facts used for calculating, reasoning, or measuring."[1] In other words, a piece of data represents an actual, physical, and existing entity.
For example, I am 1.75m tall. This is a fact expressed via
numerical representation (and obviously can also be digitally coded). The adjective ‘tall’ provides important contextual information without it, the piece of
data (1.75) would be meaningless. This is metadata. To further the example, if
I add that I am second to my brother, I will start depicting a picture of a
family of at least 4 people where my brother is the tallest and I am taller
than my mum and dad. Wow, this is heavy meta!Now what is data? David Loshin authoritatively defines data as “…a collection of raw value elements or facts used for calculating, reasoning, or measuring."[1] In other words, a piece of data represents an actual, physical, and existing entity.
So metadata is all about context. I can hear the pundits
here making all sorts of distinctions between business and technical metadata.
Granted, it is important. However, let’s focus on how to give meaning to data.
Andrew White and the
value of information
Earlier this year, I exchanged a few tweets with Andrew White, a
very much respected MDM VP researcher at Gartner. Here the relevant tweets:
Here's a thought: information has no value until you perceive an
outcome that changes. No change = no value. Why is this wrong?
@mdmcentral do you
see the value as an intrinsic or extrinsic characteristic of information?
@mensetopera
classic consultant: both, at different times, perhaps. If pushed to pick 1, I'd
go for extrinsic. Always context wins-right?
@mdmcentral this
reminds me of the 'fact-value distinction' raised by Hume...Interesting Andrew,
I promise to think about it :-)
What is relevant here is the distinction between data and
information. Data, as we have defined it, has no value (or meaning) unless
something/someone put that data in context (for those who understand
philosophy, data is in a potential mode waiting to be actualized by an external
force). Human beings create meta-data to project a meaning onto data, turning
this data into information. Granted, as Andrew observed in a different tweet,
data can acquire different meanings over time. The point of all this is that metadata is your chance to turn data into
information i.e. actionable knowledge.
PIM is business
metadata friendly
This gives us a beautiful perspective to see the power of
PIM. In fact, while there are innumerable ways to give meaning to data, it
happens that from a product perspective, PIM is your man! After all, it’s got
the “I” in it and not ‘D’ or ‘C’…if you get my drift J
To illustrate: my wife has been looking for a classic bike
recently. We went online and we spent one hour educating ourselves on all the
options, features, and specs jumping back and forth between manufacturer
websites and reviews, looking at the best-sellers and comparing prices. We
finally chose this one:
This was the only webshop that showed emotionally involving
pictures and a description that was absolutely engaging:
For all the Eleanor
Rigbys, Polythene Pams, Maggie Maes, Sexy Sadies, Julias, Lovely Ritas and Long
Tall Sallys out there: this bike’s for you! A combination of timeless style and
modern reliability, you’ll want to ride the Classique eight days a week!
You see, the same bike sold by others was shown with a bunch
of boring attributes and specs (though necessary to finalise the purchase) that lacked the
connection with the world my wife had built in her head.
What this anecdote teaches us is very simple. Unless you
have a process and a technology that allows your team to turn raw product data
from suppliers into branded, proprietary descriptions, images, and video, you
will have little chance to win them over. This continuous process of enriching
product data is an exercise in metadata. And PIM is your metadata assistant to turn
the frog into a prince!
Extra
We have a theme song for this post. Enjoy!
[1]
David Loshin, Business Intelligence, p.6
Bike webshop: http://www.progearbikes.com.au/Progear-Retro-ladies-classique-700c17-bright-red
Bike webshop: http://www.progearbikes.com.au/Progear-Retro-ladies-classique-700c17-bright-red
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