United States
United States
Data Services - Data Quality Management is a course designed to help students gain a deep understanding of the principles, processes, and tools for effective data quality management. The course covers topics such as data management concepts and principles, the development of data quality assurance plans, and an overview of data quality metrics. It also teaches students how to design processes for data cleansing, analysis, and transformation, as well as how to effectively assess the accuracy and completeness of data. Finally, the course covers data quality management best practices and methodologies, such as developing governance policies, setting standards and processes, and creating data quality scorecards.
Data Services - Data Quality Management can help students build the skills needed to ensure the accuracy and completeness of data, which is essential for any successful business. Data professionals, data stewards, project managers, and business analysts can benefit from this course, as they can use the knowledge they gain to improve data quality systems, processes, and policies in their organizations. The course is also beneficial for students interested in pursuing a career in the field of data quality management and analytics.
This is a Rare Course and it can be take up to 3 weeks to arrange the training.
| Live Online Training (Duration : 16 Hours) Fee On Request | |||
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1. Basic knowledge of data management, data systems and computer science fundamentals.
2. Understanding of data integration and cleansing techniques, ETL processes and quality control methods.
3. Knowledge of the major data management vendors and their offerings.
4. Experience with data governance frameworks and principles.
5. Understanding of business process optimization techniques.
6. Awareness of data quality management techniques and best practices.
7. Experience in creating or updating data quality standards.
8. Understanding of state-of-the-art analytic techniques and their use in data quality.
The target audience for data services Data Quality Management Training is business leaders, analytics professionals, and data analysts who are using big data or other data sources to generate insights and drive decision making. The training program is designed to cover the basics of data quality management, as well as the strategies and techniques used to ensure data accuracy and currency. It will also discuss how to identify and address any data problems and provide best practices for data management. This training will be valuable to those who need to maintain data integrity, those who need to improve the quality of their data, and those who are utilizing analytics to unlock new insights. It will be especially valuable to those with limited knowledge of data quality management who need to ensure they understand the best practices necessary to successful data-driven decision making.
The aim of Data Services - Data Quality Management Training is to equip individuals with the essential knowledge and skills required to develop and maintain clean, complete, and consistent data. Upon completion of this training, individuals should be able to apply techniques and tools to monitor, assess, and improve the quality of data. Specifically, they should be able to identify main sources of data quality problems, compare data quality metrics across different data sources, and develop a plan of action to achieve better data quality. Core concepts that will be covered include metadata management, data engineering, data manipulation, data auditing, and data remediation. This training is designed to encourage collaboration among data stakeholders and increase organizational capacity for effective data management.
