22 October 2008

Getting IT right!

Writing in InfoWorld magazine (6 Jan 2003), Ephraim Schwartz said:

"The goal of IT, since its inception, has been the timely (a relative term) delivery of information to those who need it. Behind this goal is an unspoken belief in technology: If IT could deliver to its internal enterprise customers all of the information all of the time, it would be impossible for them to make a mistake."

Understanding the difference between data and information

More likely than not, many of the folks working in your organization's IT department don't actually know the difference between data and information. To be fair, they are not alone: Many people working as supervisors, managers, and executives probably don't recognize the difference between data and information either.

  • Data are the bits of information your various systems store. The system may be any kind of system -- not necessarily and IT-related system. Those old metal filing cabinets still found around many offices store data, just like that 160 gigabyte hard-drive on your desktop computer stores data.
  • Information is data transformed (e.g., gathered, analyzed, collated, sorted, coded) to allow the user to rapidly digest and comprehend the implications of the underlying data for timely, accurate, and effective decision-making.

For example, a 300-page report printed on green-bar paper, like an old mainframe computer used to spit out for us at a firm I worked at years ago, is data. Make no mistake, the data -- in the 300-page report -- contained everything we needed to know to make an effective decision. However, it its form as a report, it was not readily digested and comprehended for effective decision-making.

At another firm for which I consulted a few years ago, one of the firm's key production managers would take home several reports from their existing system almost every night. Working at home in the evenings, he would comb through these various reports and, using an assortment of colored highlighters, would mark up the reports with various colors to guide his production decisions the following day.

What was he doing? He was transforming data into information.

The data contained in the aforementioned 300-page report could have been more easily digested and decision-making could have been faster and more effective if the data had been presented, perhaps, in a chart, a graph, or even reduced to some form of exception list.

Placing the information in its context

Data content may typically be broken down into three general classes for most organizations:
  • Operational data such as orders, purchases, inventory, and so forth;
  • Process data such as schedules, routings, bills of material, logistics, and similar; and
  • Administrative data including accounting, customer lists, vendor lists, employee lists and more.
The data context, however, must be understood before effective decision-making may be done for any particular organization. The context of the data give the data meaning within the framework where it is to be applied. The context includes such elements as:
  • The organization's purpose,
  • The organization's strategy,
  • The organization's vision and mission,
  • The organization's execution model,
  • The organization's capabilities and competencies,
  • The organization's structure,
  • The organization's policies and procedures, and
  • The organization's values and culture.
Clearly, depending on an organization's purpose or strategy or production model (for example), essentially the same data may drive two different organizations to make equally effective but totally different decisions.
It should be part of every organization's IT strategy to mandate the transformation of the huge volumes of data being collected into information by their IT systems. This transformation, in itself, should be flexible, timely, and subject to ad hoc transformation, as well.

That's what business intelligence is all about. In today's world, this is all about survival, not just improvement or excellence.

"Business, we know, is now so complex and difficult, the survival of firms so hazardous in an environment increasingly unpredictable, competitive, and fraught with danger, that their continued existence depends on the day-to-day mobilization of every ounce of intelligence."
-- Konosuke Matsushita, founder of Matsushita Electric (Panasonic) as quoted in Managing on the Edge: How Successful Companies Use Conflict for Competitive Advantage by Richard Pascale (New York: Simon and Schuster, 1990), p. 51.


Jeff SKI Kinsey said...

Good stuff. But the definition of "information" is a little too weak for the purist in me. As Goldratt said, "Information is the answer to question asked."

In other words, the data is "raw" so to speak, and information is data prepared and ready for consumption.

RDCushing said...


Thank you for your comment, but both Goldratt's definition and your "information is data prepared...." correlate with "Information is data transformed (e.g., gathered, analyzed, collated, sorted, coded) to allow the user to rapidly digest and comprehend the implications of the underlying data for timely, accurate, and effective decision-making."

Don't you think?


Gerry Poe said...

Data/Information is not power. It is nothing more than unorganized data. Knowledge is nothing more than organized information. Neither brings us true power or true success. To succeed today, we need more than information or knowledge. We need wisdom.


RDCushing said...

Thanks for your comment Gerry. My post, of course, and none of the comments (I believe) have mentioned the term "power." So, what provoked your comment regarding "power" and "wisdom"?

And, don't keep us hanging here: What is your suggested path to "wisdom" and "power"?