The key to knowledge management
Benjamin Franklin once said: ''An investment in knowledge pays the best
interest.'' Something tells me Ben didn't have knowledge management on his mind,
but he was a pretty smart guy, so maybe he did. And today, corporations are
beginning to understand what Franklin knew all those years ago: Knowledge is
your most valuable asset.
Much of this push for knowledge comes directly from senior executives. In a
survey of Fortune 1000 executives, 97% of respondents said some critical
business processes would improve if more employees knew about them. In the same
report, 87% of those surveyed said costly mistakes occur because employees do
not have the right knowledge at the right time.
This tremendous desire to improve and maintain an organization's intellectual
capital has triggered a field of study and class of vendor applications that we
refer to as knowledge management, or KM.
When I first learned about KM, my immediate reaction was that the objectives
of knowledge management seemed a lot like those of a meta data repository.
Moreover, I don't see how a ''true'' enterprise-wide knowledge management
solution can exist without a meta data repository. In fact, a meta data
repository is the backbone of a knowledge management solution.
A meta data repository implements a technical solution that gathers, retains
and disseminates corporate ''knowledge'' to generate a competitive advantage in
the market. This intellectual capital (data, information and knowledge) is both
technical and business-related.
Knowledge management benefits a corporation by leveraging ''lessons learned''
so users can share information to generate new ideas, increase revenue or
decrease expenses; and by improving the firm's ability to adapt to change and
opportunities in the market.
The knowledge pyramid is at the heart
of knowledge management. Businesses are beginning to realize that to attain a
competitive advantage they need their IT systems to manage more than just data,
they need them to manage knowledge (meta data). As a corporation's IT systems
mature, they progress from collecting and managing data, to collecting and
Data. Data is the basic building block of IT systems -- it
is the transactional, physical record of an enterprise's activity, and
organizations go to great lengths to capture and manage it. Data is captured
each time a customer calls a business to place an order, including, at a
minimum, the customer's name and address, the products ordered, any applicable
discounts or sales tax, and the dollar amount of the order. Unfortunately, this
data does not tell us why the customer purchased the product from this firm
rather than a competitor, or how much they were willing to pay, nor does it
predict whether the customer is likely to return. In addition, these data facts
do not tell us if the organization is successful or if it is managed
Information. Data by itself has little purpose or meaning.
Information is data that has meaning and purpose. In Working Knowledge: How
Organizations Manage What They Know (Boston: Harvard Business School Press,
1998), Thomas Davenport and Laurence Prusak state that we add value to data in
the following ways:
Contextualizing -- tells us
the purpose for which the data was gathered;
Categorizing -- tells us the units of analysis or key
components of the data;
Calculating -- tells us
if the data was analyzed mathematically or statistically;
Correcting -- tells us if errors have been removed from
the data; and
Condensing -- tells us if the data was summarized in a more concise
While this might seem a little ''big brained'' for us technicians, it relates
to the process of making data have direct meaning to our business.
For example, by summarizing customer sales amounts and subtracting the
expenses for serving that customer, we attain profitability numbers. If we do
this for each customer, we can see which customers are the most profitable. In
this way, we are able to turn data into information.
Knowledge. Knowledge is not an easy term to define.
Epistemologists spend their entire lives trying to understand what it is to know
something. For our purposes, knowledge takes information one step further than
data. I think of information as data that tells me about my business and how it
functions. When I go that extra step to transform information into knowledge, I
understand how my business impacts the market in which I compete, how my
business interacts with the other firms in the same selling space, and how my
firm is influenced by the market in which we compete. So knowledge is how my
business relates to the overall, global picture.
Interestingly enough, most magazines that discuss knowledge management fail
to mention a meta data repository. I believe this glaring oversight exists
because most knowledge management professionals focus on the business portion of
the KM equation. However, as implementers we realize that a meta data repository
is the technical solution for knowledge management.
David Marco is the author of Building and Managing the Meta Data Repository: A Full Life-Cycle Guide from John Wiley & Sons. He is founder and president of Enterprise Warehousing Solutions Inc. (EWS), a Chicago-based system integrator. He can be reached at 708-233-6330 or via E-mail at email@example.com.