Advanced ITIL for the IT Professional
Service Support Metrics 

Wisdom Hierarchy

Information Technology (IT) groups are generally adept at gathering vast amounts of data. The data collected is not always used successfully for analysis and decision-making, however. Very often, the opposite is true. The processing of raw data is sometimes a distraction, rather than a useful activity. For example, many IT departments measure and monitor every event on a Service Desk, yet they may fail to notice that a key server is getting close to capacity. Why? Service desk technologies automatically collect and collate vast amounts of data regarding Service Desk performance, whereas measuring the growth of a server relative to its capacity requires a different effort and intervention.

Let's look at how we can best leverage data to provide both IT Managers and business managers with useful tools that help them keep IT services closely aligned with business goals.

Let's begin by looking at some commonly used terms in Service Management: "data," "information," "knowledge," and to a lesser degree "wisdom." While these words are often used, they are not always used in the proper context.

The Merriam-Webster Online dictionary defines these words as follows:

Data
1: factual information (as measurements or statistics) used as a basis for reasoning, discussion, or calculation <the data is plentiful and easily available.>

2: information output by a sensing device or organ that includes both useful and irrelevant or redundant information and must be processed to be meaningful.

Information
2a (1): knowledge obtained from investigation, study, or instruction (2) : intelligence, news (3) : facts, data.

Knowledge
2b (2): the range of one's information.

Wisdom
1a: accumulated philosophic or scientific learning: Knowledge.

2:a wise attitude or course of action.

According to these definitions, "data" is the basic unit of "information," which in turn is the basic unit of "knowledge," which itself is the basic unit of "wisdom." So, we have four levels in our understanding and decision-making hierarchy. The whole purpose in collecting data, information, and knowledge is to be able to make wise decisions. However, if the data sources are flawed, then in most cases the decisions will also be flawed. The relationships between data, information, knowledge, and wisdom can be illustrated graphically as shown in the following diagram:

Figure 1: Building on data in the Wisdom Hierarchy.

As illustrated, "packages" are passed from one level to next. The "wisdom" level has all the required components-data, information, and knowledge-to make wise decisions. Of course, decisions can be made at all levels, depending on the outcome and conditions that exist. The following examples illustrate decision-making at each level:

Data Level: A Service Desk manager sees that there are twenty customers in the incoming call queue. He may decide to increase the number of front-line staff temporarily-a decision made on a single piece of data.

Information Level: In a similar scenario, 20 customers are in the queue, but in this case the manager has more data. He knows that a server is currently down but will be reinstated momentarily. In this case, the manager may decide to wait a little longer before increasing the front-line headcount because he or she suspects that the two issues are related. With multiple data sources, the manager is better informed and bases the decision on the information available.

Knowledge Level: The help desk manager notices that the incoming queue is growing and that a server is getting close to capacity level. She has information explaining how this situation can be resolved, so she can take appropriate action to isolate and solve the Problem immediately. This decision is based on knowledge.

Wisdom Level: IT Executives are reviewing the previous month's knowledge and notice a Problem with some servers from one vendor. They decide to ask the vendor to evaluate all of their servers to determine if the same Problem could occur on other servers. This decision is based on wisdom.

Although these examples may be oversimplified, they provide a reference point to understand the Wisdom Hierarchy.

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