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By Thomas C. Redman
The following is an excerpt from Thomas C. Redman's new book 'Data Driven: Profiting from Your Most Important Business Asset" copyright 2008 by Thomas C. Redman, Harvard Business School Publishing. All rights reserved. Reprinted with permission. The book is available at Amazon.com.
To truly earn the title assets, data and information must prove themselves
in the marketplace. This chapter and the next focus on the marketplace
demands for data and information, the many ways to meet
those demands, complications in doing so, and some of the questions
organizations should ask in deciding what's right for them.
The most obvious way to bring data and information to the marketplace
is to develop and provide new content. Lots of companies already
do so. National newspapers and medical diagnostics come immediately
to mind, and they present an interesting contrast. Depending on the
story, there is a large market for the news. But, especially with the
advance of the Internet, those interested in an article don't need to purchase
the newspaper. Thus, as the financial health of most daily newspapers
attests, it is a tough business.1
On the other hand, only you, your doctor, and at most a few others
are interested in your latest cholesterol report. The market for any given
report is small, even though the report is easy to copy and distribute.
The market for medical tests, however, is growing steadily each year.
A more subtle way to bring data and information to market is informationalization;
that is, building data and information into existing products
and services. My favorite example is the feature in new automobiles that
provides you with step-by-step driving instructions while en route. Not
only does it get you there faster, but also it means that husbands and wives
can't fight over whose fault it is that they're lost. Informationalization is a
brilliant insight, and companies ought to do more of it.
So far, I count fifteen ways to bring data and information to the marketplace
(see table 5-1), and this list does not include improving qual-
ity and making better decisions, both of which certainly have marketplace
implications. There are several observations to be made about
this table. First, my fondest dream is that this list will be hopelessly
outdated ten years from now. The fun of the Information Age lies in
developing wholly new ways of creating value.
| TABLE 5-1 |
| Bringing data and information to market |
| Concept |
Classic example |
Information Age example |
| Content providers |
|
|
| Provide new content |
Newspaper |
Personal diet regimen |
| Repackage data and information |
News service |
Interactive data, IRI |
| Informationalization |
Product instructions |
Maps in automobiles |
| Unbundling |
Training materials for PCs |
Investment advice/trade
execution |
| Exploit asymmetries |
Used car salesman |
Hedge fund |
| Close asymmetries |
Consumer reports |
Internet price services |
| Facilitators |
|
|
| Own the identifiers |
Social security number |
S&P |
| Infomediation |
Travel agent |
Google |
| Privacy and security |
Swiss banks |
Privacy advocates |
| Analytics, data mining |
Statistical analyses |
Amazon, Harrah’s |
| Training and education |
Classroom training |
Internet-based training |
| New marketplaces |
|
eBay |
| Infrastructure technologies |
Telephone company |
Specialized database technologies,
YouTube |
| Information appliances |
Scanners |
iPod, PDAs |
| Tools |
Electronic calculator |
Workflow, SAS |
That said, the table also features classic and more recent examples.
As the classic examples attest, there have always been markets for data
and information. The Information Age examples portend not so much
that everything has changed as that demands for exactly the right data
and information in exactly the right place at the right time and in the right
format to complete an operation, serve a customer, make a decision, or set
and execute strategy have accelerated and will continue to accelerate.
Third, the table is divided into two categories: content providers and
facilitators. Content providers aim, in some form or fashion, to provide
data and information specially tailored to the tasks at hand. They are
the subject of this chapter.
Facilitators make it easier for content providers to do so. Infrastructure
technologies such as land-line communications are classic examples.
Infomediation is another good example. Infomediators do not provide
content data per se. Instead, they help people find the data and information
they need. A travel agency is a classic example; Google is a more
recent one. Facilitators are discussed in the next chapter.
Finally, the table presents some interesting contrasts. Next to informationalization
on the list is unbundling, which involves removing the data
and information from an existing product or service and selling it as a
stand-alone offering. Separating investment advice and trade execution is
my favorite example-another brilliant idea. At the very least, unbundling
enables a company to determine what customers actually value. It also
introduces competition and gives the customer choice, which are almost
always good things, in my opinion. Do you want investment advice from
someone who intimately understands you, your situation, and your needs
with no special products to push? It's available. Do you want to do your
own research and pay low trade commissions? Also available. Of course,
informationalizing and unbundling, each an insightful, executable prescription
in its own right, point companies in different directions. What is
going on? The only possible answer is that informationalizing is appropriate
for some companies and inappropriate for others. So too unbundling.
Chapters 5 and 6 therefore pose a series of questions that aim to help
companies baseline their current positions and select directions that are
right for them. Managers, especially those responsible for strategy,
customer-facing marketing, sales or service, and product enhancement
and innovation, should use these questions to explicitly think through
each of the fifteen ways of bringing data and information to market and
begin to focus on what is right for their organizations.
Those trying to bring data and information to market face daunting
challenges. I've already cited two: the ease with which data and information
can be copied and resold and the observation that the market
for any particular piece of data or information may be very small. These
two chapters lay out several other issues, but stop short of providing
proven prescriptions because they do not exist-yet.
Next: Insatiable Demands
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