Data Quality Processes
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
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