Data Quality Management

This 5-day Data Quality Management training program addresses the key aspects of Data Quality management & provides practical take-away actions that will enable you to start a Data Quality initiative in your organization.
 

The training program draws up the Data Quality discipline as defined in the DAMA body of knowledge (DMBoK).

• Understand The Business Rules of Data Quality.
• Identify Data Lifecycle Management (DLM).
• Understand Data Governance Management Standards and Compliance.
• Identify the Differences between Good data quality and Bad data quality.
• Understand Data Quality Management approach and Scenarios.
• Identify DQ Tools and features.
• Understand the DAMA DMBoK Wheel.
• Master using data analysis Techniques.
• Master use profiling to assess Data Quality.
• Identify Data Correction Techniques.
• Understand How to Demystify Data Cleansing.
• Understand DMBoK Dimensions of Data Quality.
• Master applying Data Quality Dimensions.
• Understand how to apply the Root cause analysis process and the 5-Why Approach for better DQ.
• Define the financial cost of data quality management.
• Understand How to Create the Data Quality Roadmap.
• Master avoiding common data quality mistakes. 
• Create a Data Governance Management Action Plan.