Modern Data Management: Data Quality Management

Data    |    Beginner
  • 12 videos | 1h 3m 24s
  • Includes Assessment
  • Earns a Badge
Rating 4.4 of 186 users Rating 4.4 of 186 users (186)
Since low-quality data can provide poor insights and be detrimental to an organization, data quality improvement is essential in data management and governance. Use this course to learn how to improve the quality of your data. Learn how to distinguish between high and low-quality data. Then, examine the entire cycle for developing high-quality data from data acquisition, advanced data process implementation, and effective distribution. Recognize the importance of managerial oversight in information processing, data compliance, and governance implementations in developing high-quality data. As you advance, learn how to create an integrated system of good data quality management processes. Upon completing this course, you'll know the best techniques and cloud-based data management solutions to ensure the data used in decision-making is always of the highest quality.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Specify why data quality management is essential in using data for business
    Name important steps for improving data quality
    List activities involved in data quality management
    Specify the importance of having reference data
    Describe how data compliance helps improve data quality
  • Name the most important measurements used to describe data performance
    Identify approaches that help continuously improve data management
    Compare the concepts of data management, data governance, and data compliance
    Identify major issues in achieving data governance and data compliance
    List state-of-the-art cloud-based data management solutions and recognize the direction in which this industry is headed
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 2m 11s
  • 6m 57s
  • Locked
    3.  The Data Quality Improvement Cycle
    6m 41s
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    4.  Data Quality Management Activities
    7m 35s
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    5.  The Importance of Reference Data
    4m 51s
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    6.  Improving Data Quality with Data Compliance
    4m 12s
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    7.  Data Performance Measurements
    6m 46s
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    8.  Continuous Improvement of Data Management
    7m 32s
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    9.  Data Management, Governance, and Compliance
    6m 23s
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    10.  Solving Data Governance and Compliance Issues
    4m 22s
    In this video, you'll learn about how to achieve GDPR compliance. You'll discover that to achieve GDPR compliance, it is necessary to have good data management practices, good data quality practices and an ability to curate it. These are the things lacking in an organization due to gaps in the technical infrastructure and business processes. Compliance regulations involve multiple domains such as business processes, IT, legal, and all of them are of extreme value to the stakeholders. FREE ACCESS
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    11.  Next-generation Cloud Data Management Solutions
    4m 33s
    In this video, you'll learn how to list state-of-the-art cloud-based data management solutions and recognize the direction in which this industry is headed. A data Lakehouse is a concept that combines the elements of a data warehouse with that of a data lake. It's a cloud-based management solution for data. FREE ACCESS
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    12.  Course Summary
    1m 20s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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