This webinar highlights the importance of a Unified Meta Model in Data Management, focusing on templates, specialized tools, and effective preparation strategies for Business Intelligence exams and data governance.
Key Takeaways Webinar Details Title: How to Prepare for CDMP® Data Modelling Specialist ExamDate: 2023-08-10Presenter: Howard DieselMeetup Group: African Data
Article Details Author: Howard Diesel Date: 2 March 2021 What is the CDMP Certification? DAMA International offers the CDMP Certification
This webinar covers the Revised DMBOK, including the transition to Canvas, exam procedures, data quality, information security, data modelling, ethics in data science, and the use of data lineage tools.
This webinar offers essential insights for the Data Governance CDMP® Specialist exam, covering exam selection, preparation strategies, data quality, governance best practices, and certification details for professional success.
This webinar emphasises data quality’s critical role in project management, business strategies, and cost impact, while exploring data stewardship, analytical methods, and market opportunities for tech startups.
This webinar explores AI governance’s future, focusing on the LATAM AI paradox, mining sector transformation, healthcare innovation, and the need for collaboration to achieve sustainable AI value across industries.
This webinar highlights essential data management topics, emphasising unified metamodels, governance, and metadata, while addressing training challenges and the vital role of data literacy in the oil and gas industry.
This webinar addresses data management education challenges, emphasising data citizen training, effective stewardship, low-latency importance, proactive governance, and strategies for operationalising quality and managing data stewardship responsibilities.
This webinar discusses the evolution of conversational analytics, challenges in data presentation, the rise of interactive tools, and foundational AI architecture, concluding with a debate on dashboard systems.
This webinar covers essential strategies for enhancing data quality, emphasizing data literacy, governance, ethics in AI, and the benefits of data science and cloud computing for informed decision-making.
This webinar discusses key data modelling concepts like abstraction, generalisation, and the importance of normalisation and testing for creating effective models, including specific applications like party models and insurance data.
This webinar explores effective data governance, common project pitfalls, IT investment challenges, cultural barriers, and offers strategies for improving communication, risk assessment, and data quality through simplified writing.
This webinar focuses on AI and data governance, highlighting ethical considerations, automation in claims and fraud detection, and the need for robust frameworks to ensure responsible AI implementation across industries.
This webinar covers AI governance, data quality, and Total Quality Management. Howard Diesel discusses effective chatbot development, fraud detection, and enhancing insurance claims processing through improved AI strategies.
