Free Course: 5 Steps to Better Data Quality

One of the biggest hurdles with data quality improvement initiatives is how to get started. The elephant is big, and you can’t eat it in one go.

How do you slice the beast up so that you will have a real chance of success?

As part of onboarding customers to use Data Content Manager, we introduce our “5-Step model.” It has proven to be a solid approach to splitting the effort into smaller entities so that progress can be made with a clear plan and the scope expanded when feasible.

For a Limited time, we are offering this course for FREE!

After this course, you’ll understand how to work with CMDB in small steps, where to start, and how to define meaningful targets regarding where you currently are and where you should be.

This course is usually only available to Data Content Manager customers. DCM fully supports the 5-step model, and this course often refers to the product. DCM brings the 5-step Model to life through blueprints, audits, and dashboards.

However, the model itself does not require DCM. It is pretty generic and can be used as a basis for any Data Quality Improvement effort.

5 Steps Overview

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5 Steps to Better Data Quality

Course Curriculum:
  • Introduction to the Model
  • Step 1: Select Data Domain
  • Step 2: Define Data Providers
  • Step 3: Secure Minimum Viable Data
  • Step 4: Reach Target Model
  • Step 5: Refine Target
  • Summary


The course takes about 45 minutes to complete.


Why Should You Take This Course?

Because Bad Data is Expensive and Limits Your ServiceNow ROI

You will not get the maximum return on your ServiceNow investment if data quality is holding you back. Bad data is expensive and causes friction in your workflows, unnecessary work, and sometimes major incidents.

The more you use the platform, the more critical data quality becomes. This is especially true for shared data such as the CMDB or Foundation Data because most, if not all, of your processes and/or workflows depend on shared data.

This course will provide you with an easy-to-understand framework – with examples – to start and structure your data improvement plan.


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

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