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Gartner on CMDB Data Quality

by Mikko Juola | May 31, 2022 | Articles, CMDB, CSDM

We have been discussing CMDB data quality for years, and, of course, we developed Data Content Manager to address the issue. Gartner recently refreshed its study, titled "3 Steps to Improve IT Service View CMDB Data Quality." Gartner Analysts Roger Williams and Kenneth Gonzales wrote it. Please note that it is paid research by Gartner.

Basically, they say what we tend to say: that inaccurate configuration data in the CMDB will deteriorate incident resolution and change quality. Furthermore, IT Management should address gaps in data ownership and data models as well as tools.

They suggest that 99% of organizations using CMDB tooling that do not confront Configuration Item data quality gaps will experience visible business disruptions by the end of 2024.

We were happy to see that our thinking is aligned with Gartner’s. It’s also easy for us to say that Data Content Manager can help in all three areas discussed in their study:

  • Addressing gaps in data oversight,
  • Reducing the need of resources (by limiting scope) and
  • Strengthening change management capabilities (i.e. systematic data quality process)

Address Gaps – Appoint People to Correct Roles

We think data ownership is crucially important for CMDB data quality. If nobody owns or uses the data, what’s the point of having it?  We like using the Consumer-Owner-Provider model for defining who owns data.

Consumer - Owner - Provider Model

If you read the Gartner study, you will find they talk about Executive Sponsors, SACM Process Leads and Custodians. We can easily align the C-O-P model to what Gartner says with some tweaking:

  • Executive sponsor can represent the Consumer,
  • SACM Process Lead the Owner,
  • and Custodians the Providers.

We wrote an article explaining how you can use this model to assign ownership and roles. Also, if you’ve read our eBook CSDM – The Recipe for Success, you’ve come across it. Please check out these resources:

Reduce Resources – Limit Scope

When we speak to our customers we always try to emphasize that it makes sense to start small. We also say that don’t bring data into the CMDB that nobody a) owns, b) uses, c) maintains.

The problem with excessive amounts of data is very often related to automated tools such as Discovery. It’s very easy to get a lot of data into the CMDB, but the questions of ownership, usage and maintenance of it are often ignored. 

We often talk about our 5 Steps Model for Better Data Quality which focuses on defining scope. We recommend starting small and only adding more to the data model when the organization is ready to utilize and produce the required data. The Gartner analysts essentially say the same.

5 Steps Overview

Strengthen Change Management Capabilities – Systematic Process

If your data is valid and up to date, change management is easier and less prone to error.

The Change Management process plays a significant role in CI data management. Evaluating CI record data as part of the change process can ensure that change planning and risk assessment are based on correct data and increase the odds of change success.

Performing regular evaluations of CI record data, even without ongoing changes, helps to ensure that other processes can also benefit from accurate and up-to-date CI data. Data Content Manager does this: it helps you run a systematic process for managing your data models and the data within them.

Systematic Process

The Change Management process plays a significant role in CI data management. Evaluating CI record data as part of the change process can ensure that change planning and risk assessment are based on accurate data, thereby increasing the odds of change success.

Performing regular evaluations of CI record data, even without ongoing changes, helps to ensure that other processes can also benefit from accurate and up-to-date CI data. Data Content Manager does this: it enables you to run a systematic process for managing your data models and the data within them.

DCM Ticks all the Boxes

As mentioned at the beginning, we were pleased to find support for our thinking by identifying similarities with Gartner's perspective. Furthermore, since our tool Data Content Manager supports this thinking, it gives us even more confidence that organizations looking to improve their CMDB should take a look at it.

We wrote an eBook called CSDM – The Recipe for Success. It shares guidance on what to consider when you are thinking about, or already are, on a CSDM Journey.

If you would like to learn more about how DCM can help you improve your CMDB or accelerate your CSDM Journey, please feel free to book a meeting with us, and we will show you.

Additional CSDM Resources

We have written a lot on aligning with the Common Service Data Model and how Data Content Manager can help ease the journey.

Here are some excellent places to start:

Please reach out to us if you have any questions!

With CSDM providing a prescriptive data model and DCM providing a view of our data in a consumable manner, we are able to drive the necessary changes across the bank in a non-obtrusive way, which is seen to add value to our business, not be viewed as an operational overhead.

Craig Alexander
SVP, Danske Bank

DCM has delivered incredible value to our business by drastically accelerating application rationalization. What would have taken years to complete was achieved in just months. Its intuitive, well-designed GUI makes navigation seamless for both users and administrators. Most importantly, DCM has significantly matured our CMDB, bringing clarity and structure. We highly recommend both the product and the outstanding team at Qualdatrix.

Banner Health

My complex Blueprint was up and running in 10 minutes, and I got audit results immediately. It would have taken months to complete without DCM.

Enterprise Architect
Global Healthcare Company

DCM has been central in federating our dependency mapping to technical teams, and that momentum is building. It’s been a successful first year, and we’re extending use with additional blueprints.

Product Manager - Service Catalog
U.K. Public Sector

DCM provides transparency and a holistic view of the state of our CMDB. It helps us find and fix deviations as they happen. It's vital that with DCM, we can see the big picture as well as drill down into the details at any time. We don't have to think about how to get this data together and how to update it. Once the Blueprint is set up and the audits run, it's all there in the dashboards.

Mika Lindström
ICT Configuration Manager, Metsäliitto Cooperative

Data Content Manager is an excellent tool to measure and control data quality in your ServiceNow instance. It offers much more sophisticated data model definitions than you can get with native CMDB data quality metrics which we were using previously, and this was our main reason for the purchase. It also comes with its own audit and remediation features which make data maintenance easier. Highly recommended!

Lotta Jouhtimäki
Product Owner, ServiceNow, Posti Group

The CMDB Data Quality Playbook

A Practical Guide for Improving ServiceNow Data Quality, Governance and AI-Readiness.

  • A practical way to establish ownership and roles
  • The 5-step model for data quality improvement
  • Best practices for engaging data providers
  • Five common pitfalls in CMDB data quality and how to avoid

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