Data Quality Framework & Methodologies for Data Citizens
This webinar explores managing data quality through governance, strategy, and implementation. Howard Diesel emphasizes assessments, documentation, and the role of data quality in fostering a culture of accuracy and business value.
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00:00:00 Start Webinar
00:01:44 Data quality management and implementation cycle in a professional setting
00:05:20 Data Governance and Data Quality Strategy
00:07:29 Data Governance and Implementation Framework
00:10:50 Areas to Compare in Data Quality Analysis and Improvement
00:13:30 Notes on Data Driven and Process Driven Approaches
00:17:02 Quality dimensions, frameworks, and information systems
00:20:42 Implementation Cycle and Data Quality Assessment
00:23:26 Importance and Documentation of Data Quality Expectations
00:25:55 Implementing the DM AIC process for risk assessment and remediation
00:29:36 Defining and Analyzing Quality, Validating Measurement, and Control
00:34:58 Quality Control and Process Improvement Techniques
00:38:32 Analysis of Deliverables and Frameworks in Project Evaluation
00:41:31 Howard Diesel discusses data analysis and strategy implementation
00:43:34 Steps in Ensuring Data Quality and Implementation
00:46:06 Data Quality Assessment Process
00:50:51 Root Cause Analysis and Documentation Process
00:53:35 Data Analysis Techniques and Tools
00:55:59 Discussion on Outliers and Data Analysis
00:59:33 Prioritizing Data Management Approaches
01:01:57 Discussion on decision making and decision inventory
01:06:21 The Importance of Well-Defined Outputs, Data Quality, and Cost Metrics in Data Governance
01:10:33 Error Rates and Quality Maintenance in Data Analysis
01:12:29 Achieving 100% Data Accuracy and its Value to Business
01:15:44 Importance of Data Quality in Company Culture
African Data Management Community Forum 2023-07-13
#DataQualityManagement
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