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Data is one of the basic pillars that organizations of all kinds depend on in all their internal operations, in addition to its importance in making strategic, tactical and operational decisions, which requires great attention to its quality in terms of availability, accuracy and completeness, which is called the quality of information, which is one of the branches of data science. This training program focuses on introducing the main features that express the quality of data, methodologies for ensuring the acquisition and maintenance of high quality information and best international practices to achieve this goal. In addition, the program reviews global standards for data quality (ISO 8000).
Data is one of the basic pillars that organizations of all kinds depend on in all their internal operations, in addition to its importance in making strategic, tactical and operational decisions, which requires great attention to its quality in terms of availability, accuracy and completeness, which is called the quality of information, which is one of the branches of data science. This training program focuses on introducing the main features that express the quality of data, methodologies for ensuring the acquisition and maintenance of high quality information and best international practices to achieve this goal. In addition, the program reviews global standards for data quality (ISO 8000).
Banking
Capital Market
Insurance
Financing
Artificial Intelligence and Data Management
Not Exist
Lecture
Case Studies +1
Lecture
Case Studies
Dialogue and Discussions
Pre Assessment
Post Assessment
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This provides you with the opportunity to select the available times that suit you best for participation in our program. These times represent slots during which we are ready to welcome you and provide assistance and guidance.
Self Learning
Module 1: Basic Definitions
Module 2: Data Quality Introduction
Module 3: Data Quality Attributes and Dimensions
Module 4: Data Quality Management Methodology and Process
Module 5: Data quality tools
Module 6: ISO 8000: The Global Standard for Data Quality and Enterprise Master Data
Module 7: Practical exercise
Understand the main concepts of data quality to recognize its position among other data concepts in order to build the appropriate framework for dealing with data.
Recognize the attributes of data quality to ensure the taking proper decisions.
Study the methodology of maintaining high quality data to build the appropriate framework for data management.
Recognizing the global standards for data quality to ensure a consistent application for obtaining international accreditations.
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