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Video: How to Improve Foundation Data in ServiceNow and CSDM

by Mikko Juola | May 2, 2023 | Articles, CSDM, Featured, Foundation Data, How To, Videos

In this video, Pekka Korpi, CEO of Qualdatrix, and Mikko Juola, Product Owner of Data Content Manager, discuss the importance of Foundation data in ServiceNow and how it can be improved using Data Content Manager.

Foundation Data in ServiceNow refers to the critical reference data that forms the basis for various processes and workflows within the platform. It includes essential background data such as users, groups, locations, and company structures. This data is shared between different processes, workflows, and configuration items, providing a common set of data elements that are integral to the functioning of ServiceNow.

In the context of the Common Service Data Model (CSDM), Foundation Data is considered one of the domains, representing the fundamental reference data supporting other platform aspects. Therefore, ensuring accurate and up-to-date Foundation Data is crucial for maintaining data quality, consistency, and efficient operation of ServiceNow processes and workflows.

In This Video

In this video, Mikko and Pekka discuss:

  • What is Foundation Data in ServiceNow
  • How Foundation Data relates to CSDM.
  • Real-life examples of Foundation Data.
  • How to use Data Content Manager to maintain and improve the quality of Foundation Data.

Learn More

To learn more about how to improve Foundation Data in your ServiceNow:

Read: Related Articles in The DCM Blog

Take Action

Data Content Manager adds capabilities to design and enforce data models in the platform natively. It goes beyond out-of-the-box tools and helps you accelerate your CSDM journey and improve the quality of your CMDB without scripting, additional reports, or customizations.

Organizations can use Data Content Manager to improve their overall data quality, align with CSDM or improve specific areas, such as Foundation Data. In the end, good data quality is needed to maximize the return on investment from the platform.

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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

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

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  • 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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