Training: Modern Data Management

• As companies transition to the digital age, it is increasingly essential for decision-makers to utilize the vast amount of data in their systems properly.
• Proper governance and a working knowledge of data management systems ensure a significant competitive advantage, allowing companies to have more insight into their work and utilize their resources more efficiently.
• Use this course to familiarize yourself with the various strategies for handling and transacting data. Examine how data management systems work, study domain-wise data handling, and outline strategies to develop data management systems.
• Study how to integrate data management into different domains and identify and prioritize domains in various fields of data technologies and data architectures.
• When you're done with this course, you'll have a solid foundational comprehension of how to establish appropriate data management solutions in an organizational setting.

• Data governance is important in data management, as it focuses on the availability, consistency, usability, and security of data sources. Utilizing data governance is important for creating consistent pipelines for data management solutions.
• Use this course as an introduction to data governance, exploring how it relates to master data management and is implemented into a business program. Then, examine how to create consistent and transparent governance models across multiple domains in data management.
• Investigate data stewardship, integrity, and security, studying how data governance interacts with information technology in a business enterprise context. Identify the benefits of establishing multi-domain data governance. Lastly, list various ways different data management systems interact to maintain data integrity and enhance data security.
• Upon completing this course, you'll know how to implement a data governance model correctly for your data management systems.

• 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.

Final Exam: Data Governance and Management will test your knowledge and application of the topics presented throughout the Data Governance and Management track of the Skillsoft Aspire Data for Leaders and Decision Makers Journey.