Improve Data Quality in ServiceNow®
Improve your CMDB, Accelerate your CSDM implementation, make your reports more reliable or dramatically improve your Incident Management throughput. Data Quality and compliance with agreed Data Models are key to unlocking the full potential of your ServiceNow platform.
Data Content Manager takes your Data Quality initiatives from expensive, reactive firefighting projects to a measurable, systematic process.
Digital Ecosystems are Dependent on Reliable and Consistent Data
Operational business activities require correctly defined and up-to-date data. Without it, activities such as auto assignments, root cause & impact analysis, service automation, approvals and reporting are prone to failure. Yet, planned data models and real-life data do not often match.
Data models are seldom realized in real life since they’re typically designed outside, and implemented inside the platform. Human error and complexity of systems causes data degradation over time. Bad Data leads to expensive problems.
The Rule of 10: “It costs 10 times as much to complete a unit of work when the input data are defective as it does when they are perfect.”
– Thomas C. Redman
Without active maintenance, data will degradate over time. As a result, credible sources suggest that due to bad data 85% of CMDB projects fail (Forbes), 70% of Digital Transformation Projects fail (McKinsey), and 50% of Knowledge workers’ time is wasted (Harvard Business Review).
Our customers are ServiceNow platform users across industries and geographies. The common denominator is that they want to unlock the full potential of the platform and maximize the return on their investment into it.
Data Content Manager
Data Content Manager solves a variety of problems with bad data in the ServiceNow platform and can turn data management from a stream of firefighting projects into a systematic, measurable process.
While ServiceNow has features out-of-the-box that address data issues, the OOB tools are usually point solutions. They are often not very flexible and their usage can vary substantially from case to case.
Data Content Manager is a visual tool which works in the same manner on any data and any use case on the platform. Essentially, it is one comprehensive solution for Data Quality Management on the platform.
With Data Content Manager, you can have actionable results in a matter of hours – not days or weeks.
Typical use cases for Data Content Manager include:
- Accelerating your CSDM implementation
- Increasing Your Hardware Asset Management Reliability
- Ensuring your CMDB is reliable
- Improving Incident Management throughput.
- Reducing time spent on finding trivial details.
- Increasing the reliability of reporting.
- Mitigating risks related to bad data in your ServiceNow instance.
Overall, DCM helps you unlock the full potential of your ServiceNow platform to maximize the return on your investment.
Data Content Manager is a ServiceNow Certified Built on Now application that runs on the ServiceNow platform.
See How it Works
1. Design Blueprints
Design Blueprints which are fully editable, visual representations of your data models on ServiceNow. Design from scratch or get a quick start with our Free Content Packs.
2. Audit Your Data
Run automated Audits with real data against your Blueprints. The Audits will give you precise results about your compliance against your Data Models.
3. Fix Deviations
Use DCM to fix devations found by audits. The visual tools enable even novice users to fix data while ensuring your data models are being followed.
4. Measure & Automate
Measure and automate your Data Quality Management with DCM. Set KPI’s and track progress. Get actionable results in a matter of hours, not days or weeks
What People Say
We knew our data was bad but only with DCM did we see how bad, and what to do to resolve the situation.
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The Latest From our Blog
DCM v5.0 includes more dynamic data modeling and interactive reporting. Do more with a blueprint and stop customizing data quality reports.
What’s the difference between Data Content Manager and Out-of-the-Box tools such as CMDB Health or the CSDM Data Foundation Dashboard?
In this article, I will show you a simple data model for user data and give examples of different use cases that could fail due to issues in foundation data. I will also tell you what you can do to prevent such issues.
Ownership is key to success. Let’s take a look at how you can establish ownership in your CMDB using the Consumer-Owner-Provider model.
When we interact with our clients and prospects, we are often asked about the right time to begin using Data Content Manager. We believe the correct answer is, without a doubt: Now.
Example from real life: A seemingly regular and insignificant server failure escalated into a Major Incident. The difference between believing and knowing your data is good was worth 2 Million Euros.