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ROI – Paying for the CMDB Metadata Knowledgebase
Third in a Series on the ITIL CMDB
Published: September 1, 2008 This article explores the business justification for building the CMDB. ITIL process improvement projects are generating real (ROI) for adopting organizations. This article looks at the components of
ROI and how the CMDB enables them.
This is the third article in a series covering the Information Technology Infrastructure Library (ITIL) best practices and specifically the ITIL metadata management framework called the “Configuration Management Database” (CMDB). The first article, American ITIL – Winning The Metadata Contest, described how the ITIL process improvement effort will re-energize metadata management. The second article, Understanding the ITIL CMDB Meta-Model, dug into the nuts and bolts of the CMDB meta-model and described how the CMDB concept actually encompasses a grand vision for a complete IT Knowledge Management system (what ITIL V3 calls the Service Knowledge Management System (SKMS). This article will explore the business justification for building the CMDB. ITIL process improvement projects are generating real return on investment (ROI) for adopting organizations. This article looks at the components of ROI and how the CMDB enables them. Process improvement and CMDB are the ying and yang of ITIL. As we will see later, process improvement ROI cannot be achieved without the data found in the CMDB. Yet building the CMDB is not justified without the ITIL process improvement effort. You simply can’t have one without the other. You might say that the CMDB is the secret sauce of the ITIL project. This is not unlike other repository style projects. Whether you are building a data warehouse, an enterprise architecture, a content management taxonomy or a traditional data architecture-oriented metadata repository, gathering the metadata is all cost and no value. It isn’t until you use the data in some meaningful way that benefit begins to accrue to the organization and the financial bottom line. As discussed in the second article, the CMDB in its entirety represents a model of the organization. This model is built up in increasing layers of semantic value from establishing the basic vocabulary needed to describe things to complex relationships among abstract objects such as “business service” and “application system.” The following list contains some of the more significant data objects in the CMDB. Remember that CI stands for Configuration Item which is an entity in the CMDB.
Now let’s turn our attention to the ROI benefits that are derived from the ITIL project. Many of the ROI models are expressed in terms of process improvement; ITIL is, after all, a process improvement effort. In general, ITIL process ROI can be categorized as follows:
But how does CMDB data better enable these process improvements? The following chart illustrates the high level ROI categories and how the CMDB enables the ROI. Note that without the CMDB data enabler you cannot achieve the ROI.
The chart above illustrates how ITIL ROI is achieved, and it is always linked to the availability of CMDB data – data that in most shops is fragmented, siloed or simply not available. There is another way to look at the value of the CMDB repository. Underlying much of the ROI process drivers described above is an unstated knowledge management effort. The CMDB is more than just technical data slurped up with an automated discovery tool. The staff who are performing the ITIL processes (Incident, Problem, Change, Release and Configuration Management) are building the CMDB’s “knowledge base.” When ITIL processes are functioning according to the standard in an integrated system, the organization’s knowledge about its systems is being captured in a way that benefits all. Look again at the chart above and notice how many of the CMDB data enablers are actually relationships between data (i.e., incidents classified by type, incidents linked to CI’s, work-arounds for known errors). These relationships don’t materialize out of thin air; they result from people who are correctly using the ITIL process systems. Building the CMDB is in fact a knowledge management exercise. IT organizations frequently divide staff roles along the following lines:
You frequently hear these roles describes in terms of “tiers” or “levels,” as in “tier one support” or “level 2 support.” These tiers or levels represent the path that information follows in the CMDB knowledgebase. The understanding of the overall composition and nature of the systems being managed starts at the higher tiers and works its way down to the lower tiers. Information about the running state of the systems and technical problems being encountered starts at the Service Desk and works its way up the levels. Also, note that in terms of numbers and dollars, you tend to see the number of people in each role increase at the lower levels (i.e., there are more help desk staff than architects) while the average cost per person decreases at the lower levels (i.e., help desk staff cost less than architects). This suggests that a management goal should be to optimize the number of people in this structure, and that is exactly the goal of ITIL. How is this accomplished?
The idea is to have the right people doing the right things – Level 1 and Level 2 staff supporting users and resolving most incidents while Level 3 and Level 4 staff work on new system functionality. This becomes a virtuous cycle as newer systems are created with higher quality resulting in less cost to operate. Next StepsThis article looked at how ITIL and the CMDB generate ROI. You should use the process ROI in your project justification, but don’t forget the knowledge management nature of building the CMDB. On a technical level, architecting the CMDB requires the integration of data from many different systems. ITIL calls this the “Federated CMDB.” The CMDB itself is as more of a logical construct than a singular data repository. Recognizing the boundaries of the various systems that participate in the overall solution is an important part of achieving the overall solution. The fourth article in this series will examine the technology behind building the CMDB. Go to Current Issue | Go to Issue Archive Recent articles by John Singer
John Singer -
John Singer is a 26-year veteran information systems professional who has focused on data management activities including metadata management, data administration, database administration and enteprise architecture in both staff and management roles. Currently working as a data architect focusing on an ITIL CMDB implementation. John is a former MetaGroup industry analyst, and also has held positions in financial services, pharmaceutical, healthcare, manufacturing, retail, and criminal justice organizations. John teaches graduate level courses as an adjunct faculty member of Webster University. He may be reached at jsinger0420@yahoo.com. |