Maintain and Improve.
Chapter 5: Data Stewardship. From Concept to Practice.
Operational Process Areas. Data Caretaking. Chapter 6: Data Quality Management.
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Implementing a Data Quality Model. A Process for Data Quality. Data Analysts. Design Team.
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Establishing a Data Quality Baseline. Data Quality Dimensions. Entities and Attributes. Putting It All Together. Data Alignment and Fitness Assessment. Data Correction Initiatives. Chapter 7: Data Access Management.
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Creating the Business Discipline. Beyond the System Administrator. Creating the Right Gatekeeper Model. Employee Data. Access Management Requirements. Add User Group Names.
Map Privileges to Requirement Categories. Profiling the Data. Implementing and Managing the Process. Testing and Launching the Process. Resolve Issues Immediately. Auditing and Monitoring. Segregation of Duty Management.
Chapter 8: Data Maintenance and Metrics. Data Maintenance. Specify, Profile, and Analyze. Data Quality Metrics. How to Recognize and Gauge Maturity? Data Governance Maturity. Data Stewardship Maturity. Data Quality Maturity. Data Access Management Maturity. Part IV: Advanced Practices. Hierarchy Management HM. Operational versus Analytical Hierarchies. Single versus Multiple Hierarchies.
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Number of Levels in the Customer Hierarchy. Virtual versus Physical Customer Records. Legal versus Non-legal Hierarchies. Chapter Surviving Organizational Change. Data Quality Factors. Data Completeness. Data Consistency. Data Integrity.
www.dangkythuoc.com/includes/danevafe/rastreo-telefono-android-google.php The Change Management Challenge. Leveraging the Data Stewards and Analyst.
Adopting Best Practices. How important are IFRS to business. Governance and accountability of the IFRS. Framework standards and interpretations. Contents of IFRS book. Developments in new reporting models. A comprehensive business reporting model. Integrated reporting. Obiect tracking. The need for increased acceptance of IFRS. Additional issues. XBRL in T. Organising and collecting data.