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In my opinion, early Net companies are doing the relatively easy
work, since there are plenty of streams of wealth running off the
vast natural resources of the Web. As long as you choose the right
place to stand and know how to operate the equipment (this is saying
a mouthful, I know), you can make money on the Net. Let it suffice
to say, there are plenty of folks standing in the wrong streams.
Economist Paul Krugman explains accurately the state of the economy,
saying in Foreign Affairs that the economic growth rate has not
accelerated and in Red Herring that by 2005 it will be clear that
the Internet's impact on the economy will be no greater than the
fax machine's. "What may have changed is the ability of the
economy to make use of capacity without getting overheated,"
he goes on to say in Foreign Affairs.
What Krugman misses, I think, is the eruption of a vein of value
into the economy from a segment of society that previously was non-
or pre-economic, the vast informational contribution of people's
hobbies, passions and weirder predilections. With the open and easily
accessible audience of the Web, a wave of previously uncounted productive
information has been made economically malleable. This has allowed
the information industry to grow at a rate twice as fast as the
rest of the economy, accounting for the lion's share of the low-unemployment/low-inflation
growth in the U.S. economy.
This previously uncounted value, which has produced a bunch of
companies employing some half-million people and an additional $40
billion to $50 billion in market capitalization on the stock markets,
may very well be the economic relief valve that has prevented the
rise of inflation. This is the real cyber-gold, a new alloy of private
passions and public rancorousness that can be manipulated by business
concerns to generate traffic and, through that traffic, revenues.
How does a Yahoo! successfully mine the Net for value? Well, if
you ask me, it's simply because they cast such a wide net. The staff
of surfers who assemble themed directories of sites are like a gold
prospecting collective that, by sharing the effort and profit with
advertising and service partners, manage to occupy enough streams
to ensure reliable traffic to the Yahoo! sites.
Only in the books, computing and travel areas have companies proved
themselves capable of moving to occupy a stream of Web content to
drive revenue. Amazon uses extensive customer input to provide a
deep experience of books. In fact, today I noticed a book that had
a reader comment from Amazon.com masquerading on the back cover
as a critical comment. Preview Travel, Expedia and Travelocity use
the Web to personalize travel experience, drawing not only on their
own sites, but information from across the Internet. And, of course,
there are five giants and a lot of wannabes in computer publishing
vying for dominance in the market for reporting about the Internet.
Where are such streams, ready for other gold-rushers to plumb for
new wealth? Here's a question that must be answered on many different
dimensions, but the first step is to identify the qualities that
make information valuable.
We're back to Claude Shannon, who postulated that the value of
a message was measured by the degree it reduces uncertainty.
Let's imagine a Cartesian coordinate system that plots the value
of information, accuracy on the vertical axis and timeliness on
the horizontal. If you'd like to see what I am talking about, visit
my site at TK, where I've posted a coordinate system graphic. Information
that is timely and accurate would be in the upper right-hand sector
of the chart. Information that falls in the upper left of the chart,
the untimely but accurate, would be, at least, marginally more valuable
than that in the lower left quarter, which is timely and inaccurate
in nature, and the upper right quarter that is accurate but untimely.
Timeliness is important, because even information that was accurate
when it posted on the Net could have been obsoleted by new findings.
Ultimately, accuracy is everything, unless you are looking for information
that reinforces your beliefs regardless of their truth.
Now, value is a subjective thing. Someone you know may prefer information
that confirms beliefs that make them comfortable. One of the most
troubling aspects of the Web today is its capacity to convey and
lend validation to falsehoods. Anyone who has used the Net to do
research knows the perils of taking data at face value, without
extensive sourcing of facts, usually off-line.
What Yahoo!, Excite, Lycos, and the other search engines provide
is not any form of accuracy, only direct routes to data. So, their
services cover the entire range of information plotted on the coordinate
chart. The user is left to sort out truth from fiction. Book sites,
travel sites and sports sites, among others, must add to the simple
act of finding data by ensuring it is accurate. If you show up in
Cannes and can't find the charming bistro promised on the Web, you're
going to be upset. From the travel site's perspective, it must ensure
data integrity before the fact, because someone who knows better
will point out the error, causing damage to the site's reputation.
We're a long way from the traditional definition of value, since
the transfer of data is not equivalent to the transfer of a commodity
from one person to another; the quality of data must be ensured.
Information is a product not only of the original labor that created
it, it is the result of a vetting process in which the value of
work by additional contributors accretes to the original datum.
Shannon's postulate treats information only at the end point of
its developmental process, when it received by the consumer. Information
value is a wave that builds as it travels across the coordinate
map from the center point, up and to the right, toward a theoretical
perfect-accuracy and perfect-timeliness. Accuracy develops through
a process not unlike the scientific crucible, in which theories
are tested, challenged and, if they survive, become "more true."
Search engines have succeeded by merely lending assistance with
finding information on a particular topic (if you consider two million
hits on "macroeconomics" helpful, that is). What's the
right strategy moving forward, because it is apparent to me that
the electronic gold rush will give way to a time when you cannot
simply put your hand in the stream and pull out money.
Targeting of services is certainly one strategy that will work.
Some sites will be very good at filtering high-value information
from the data silt on the Web. There is a lot of room for better
search engines, which accounts for the ongoing success of commercial
data retrieval companies. If, as I say, a wide range of new information
and subject matter has been economically-activated by the advent
of the Web, there are myriad new markets to be served by filtering
experts - everything from a Siskel & Ebert of porn sites (there
is one) to the Beckett Baseball Card Guide to baseball card collectors
on the Internet.
But, beyond targeting subject matter, there is the opportunity
to target audiences and, by creating exclusivities through limited
access to high-value information filtering services. For example,
I believe it is perfectly reasonable to imagine a service that provides
executives access to vital and actionable business intelligence
and to one another within a secure and confidential setting. At
this level of service, which could sell for many thousands of dollars
a year, the barriers to entry are in the cost of expertise, the
cost of service and the value of confidentiality in a wide-open
data marketplace.
In this scenario, the Web company is aiming not just for the upper
right quarter of the Cartesian coordinate system, it is very selective
about which of the population of potential information sources it
actually selects for distribution to its customers. In other words,
it has headed upstream toward the source of the gold that others
are picking up in down in the lowlands.
At this point, it would be fitting for me to introduce a formula
for analyzing informational value at any point in the data flow,
one that accounts not only for the position of data relative to
accuracy and timeliness, but also for the perceived value of information
among segments of the population. Alas, I am still submerged in
the calculus and Shannon's Mathematical Theory of Communications.
I hope to provide a series of formulae in the future.
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