Data Quality Processes

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Overview of The Ten Steps Process
The Ten Steps process is the approach for
assessing, improving, and creating information

1
Define
Business
Need and
Approach

2
Analyze
Information
Environment

3
Assess
Data
Quality

and data quality. The steps are shown in the
figure and described in the box.

5
Identify
Root
Causes

6
Develop
Improvement
Plans

4
Assess
Business
Impact

7
Prevent
Future Data
Errors
9
Implement
Controls
8
Correct
Current Data
Errors

10
Communicate Actions and Results

The Ten Steps Process—Assessing, Improving, and Creating Information and Data Quality 1. Define Business Need and Approach—
Define and agree on the issue, the opportunity,
or the goal to guide all work done throughout
the project. Refer to this step throughout the
other steps in order to keep the goal at the
forefront of all activities.
2. Analyze Information Environment—Gather,
compile, and analyze information about the
current situation and the information environment. Document and verify the information life cycle, which provides a basis for future steps, ensures that relevant data are
being assessed, and helps discover root
causes. Design the data capture and assessment plan.
3. Assess Data Quality—Evaluate data quality
for the data quality dimensions applicable to
the issue. The assessment results provide a
basis for future steps, such as identifying root
causes and needed improvements and data
corrections.
4. Assess Business Impact—Using a variety
of techniques, determine the impact of poorquality data on the business. This step provides input to establish the business case for improvement, to gain support for information

quality, and to determine appropriate
investments in your information resource.
5. Identify Root Causes—Identify and prioritize
the true causes of the data quality problems
and develop specific recommendations for
addressing them.
6. Develop Improvement Plans—Finalize
specific...
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