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Our typical approach for establishing the capability of Data Quality management comprises the following four phases. Since building the new capability from grounds up sometimes is a radical organizational change, we frame our mission by the Kotter’s 8 Step Change Methodology.

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Our typical approach for establishing the capability of Data Quality management comprises the following four phases. Since building the new capability from grounds up sometimes is a radical organizational change, we frame our mission by the Kotter’s 8 Step Change Methodology.

  • Assessment and Profiling – any proposed change of an organization’s Data Quality system shall by linked to organization’s current circumstances, issues, and expectations. This entry phase delivers an overall view summarizing the current state in the following dimensions:
  1. Organizational Assessment – reviewing organizational aspects of Data Quality (e.g. some data areas with unassigned responsibility or missing knowledge); see more in Data Governance.
  2. Data Assessment – assessment to identify critical issues in selected business domains (e.g. Marketing, Sales, Accounting or Reporting), including the current strategies for correcting poor-quality data.
  3. Transitional Roadmap – planning a sequential transition towards the proposed blueprints/ business case, respecting organizational circumstances, priorities and related initiatives and projects.