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The NDMO of Saudi Arabia established comprehensive Data Management standards across 15 domains, requiring compliance within 3 years. We shared solutions for P1 challenges and offered resources for support. Find our training offerings here: https://modelwaresystemsse.wixsite.co... Please join our Meetup Group to be notified of upcoming webinars: https://www.meetup.com/DAMA-SA-Data-M... Connect with us on LinkedIn to avoid missing any upcoming events! Howard Diesel LinkedIn: / howarddiesel-cdmp-dmbok-modelwaresystems DAMA SA LinkedIn: / dashboard Modelware Systems LinkedIn: / modelware-systems Join our Data management community here: https://the-data-hive.mn.co/share/w_s... OR Email Debbie: social@modelwaresystems.com 00:00:47 National Data Management Office (NDMO) and its Regulations 00:02:41 Benefits of AI Data Products in Compliance and Saudi Arabia's Data Regulation 00:04:01 Importance of Data Management for Business Maturity 00:09:40 Observations on CDNP Transformation and NDMO Regulations 00:12:50 Feedback and Challenges from Executive CEOs 00:15:04 Overview of Data Governance Framework and Current Challenges in Saudi Arabia 00:16:06 Mapping Deliverables and Activities in the DMBOK 00:22:17 Data Architecture and Data Modeling 00:23:44 Breaking Down Tasks and Subtasks for Data Management Challenges 00:27:52 Overview of Deliverables and Dependencies 00:32:10 Summary of Information on Power BI, Maturity Assessment, and Compliance 00:36:10 Using Maturity Assessments for Compliance Progress 00:39:17 Review and Assessment Process and the Use of Maturity and Compliance in NDMO 00:43:10 Project Management and Deliverables Process 00:46:14 Misconceptions and Challenges in Implementing the NDMO Regulation 00:48:35 Challenges in Data Submission and Compliance 00:53:04 Challenges and Benefits of Enhancing Submissions 00:55:45 Implementation of an Agile Approach in Data Strategy and Governance 00:59:30 Discussion on the importance of maturity assessment in data management practices DAMA SA User Group Monthly Meeting 2023-02-22 #DataManagement #DataGovernance #BigDataAndDataScience