Increase Your Hardware Asset Management Reliability
LET'S TAKE A LOOK AT HOW DCM IMPROVES YOUR DATA QUALITY!
Do You Trust Your Asset Data?
Hardware Asset Management is all about optimizing and estimating the cost of assets and getting the best possible utilization for the assets at hand.
Success depends on reliable reporting; reporting can only be as good as the underlying data. Are you leaving money on the table due to incorrect billing or missing contracts? Are your internal cost allocations inaccurate?
If you cannot trust your asset data and your reports generated, you should ask yourself what your tolerance for errors is and how much it costs your organization.
With Data Content Manager, you can quickly locate problems in your Asset Data and fix them before they turn into expensive outcomes.
Data Content Manager Improves Asset Data Quality
Automated discovery of assets can only populate a part of the required details for successful asset management. Data Content Manager helps you maintain the rest.
With Data Content Manager:
- You define requirements for your asset data within ServiceNow itself. Your design and reality are in one place.
- You then Audit your real data against the requirements and find deviations with your data or data models.
- Problems are found quickly and are easily prioritized and fixed.
- Results can be had in a matter of hours, not days.
DCM brings reliability to your Asset Management. You can reduce you margin of error and know your Asset Management runs on a reliable foundation.
With valuable assets in question, it should be easy to calculate the monetary value of trustworthy data.
Data Content Manager turns your asset data quality management into a systematic and measurable activity.
You can find and fix your problems before they cause expensive outcomes.
CSDM - The Recipe for Success eBook
- Establishing Ownership & Roles
- Managing Your Scope
- Choosing the Right Tools
ServiceNow published some updates to their recent Common Service Data Model whitepaper. In this article I’m showing some more detailed data models for the same.
In this article I will go through the “ITSM / ServiceNow example” from that whitepaper and introduce an alternative version. And discuss about the common data model drawn from three different perspectives.
This article digs a little deeper into the problem of bad service management data, outlining the most-common data-quality management issues we see when offering data-quality-improving capabilities to our customers.
ServiceNow has finally released their view on the “common services data model”.
Most businesses, globally, are currently caught in a perfect storm of challenges and opportunities related to digital transformation, customer experience (CX) improvement, and exploiting emerging technologies ? in particular artificial intelligence (AI) and smart automation.
There?s a lot of blame being thrown around ? to explain why ITSM-tool customer ambitions and expectations haven?t been met ? but are we collectively missing something by blaming the tool?
In one of the previous posts we briefly described “5 steps for better data quality” and in this article I’m going to dig in to the second step “Secure ownership” in more detail.