This webinar highlights the importance of metadata, understanding FAIR, and developing a CDO self-measurement tool for effective data access and management. Howard Diesel emphasises the need for integration, shared understanding, and trust in data management and elaborates on change control, effective knowledge management, and learning measurement. The webinar also focuses on the significance of fair data principles, advanced data management practices, and the challenges and principles of open data. Furthermore, it discussed the different types of analytics and decision-making approaches and strategies for effective business decision-making. Howard emphasises the importance of comprehensive assessments in understanding organisational progress and decision-making.

This webinar provides an overview of data storage architecture and consistency, challenges and solutions for data management in a data lake house, edge computing and data architecture, semantic unification, data fabric, and the role of data fabric in achieving semantic consistency and data unification. Howard Diesel discusses data orchestration and database organisation, the challenges of data unification and justifying costs, the importance of getting things right in decision-making, decision quality and data management strategy, decision-making and analysis in data management and business, challenges in decision-making, the decision-making process and framework, data trust, better decision making and the decision-making loop, the CYNEFIN approach to decision making, and decision support systems and modelling.

This webinar delves into the journey and significance of data analytics from its transitional to strategic stages, emphasising its pivotal role in both government and private sectors. Zjaen Coetzee and Karl Dinkelmann share in their book, which outlines the process for implementing data analytics in companies and advocates for embracing analytics. Additionally, the book underscores the importance of the relationship between the Chief Data and Analytics Officer (CDAO) and the Chief Financial Officer (CFO) in driving data analytics initiatives. The speakers address the critical need for data confidence and leadership in business. They introduce the RAPPID methodology and the Data Value Approach as frameworks for success. Furthermore, the role of Data Value Architects, the maturity and value of data in organisations, and the impact of data leadership on decision-making processes are all topics that are explored.

This webinar covers a range of crucial topics related to AI development and legal compliance, including ethical considerations, the impact of AI on society and law, and the European Union's AI Act. Arnoud Engelfriet discusses the need for Data Governance and Management in AI systems, human oversight in AI deployment, and the challenges associated with personal Data Management systems. The webinar highlights the significance of accountability, compliance, and the EU's approach to trustworthy AI, as well as issues related to the risk-based approach of the AI Act and the controversies surrounding data use in AI systems and social networks.

This webinar delves into Large Language Models (LLMs) and Knowledge Graph Development, emphasising the significance of Semantic Data Modelling and the evolution of Knowledge Graphs in technology. Panos Alexopoulos explores the applications of Knowledge Graphs in data integration and machine learning, focusing on their use in natural language processing and information retrieval. Additionally, he shares on the challenges of vagueness in human thinking and its impact on data science, alongside the potential improvements of Semantic Modelling in knowledge representation. Lastly, Panos discusses the efficacy and usage of LLMs as knowledge developers while addressing the intersection of knowledge engineering and Artificial Intelligence, concluding with insights into upcoming courses and concepts in this dynamic field.

This webinar covers a range of topics, including the importance of ethical Data Management, professional ethics frameworks and principles, the ACM Code of Ethics, ethical implications of Data Management, and the ethical use of technology in professional practice. Daragh O Brien discusses the challenges of ethical Data Management and the balance between individual rights and society in terms of ethics and governance. Additionally, he explores industry ethics and Data Governance, AI policy and ethical controls, and the ethical implications of implementing large language models. The webinar discusses ethical considerations in Data Management, cultural and philosophical contexts, data personalisation, and the communication of information to diverse audiences.

This webinar covers various topics related to Data Management, decision intelligence, and customer engagement in various industries. Howard Diesel discusses strategies for valuing data initiatives, data literacy, and the importance of customer data in retail and the telecommunication industry. The webinar covers the key responsibilities and challenges of a Chief Data Officer (CDO), building strong Data Management and strategic alignment, and defining Personae for business benefit.

This webinar provides an overview of the key topics related to Data Management and business operations. Howard Diesel covers the importance of Reference and Master Data Management in different industries, as well as the roles and responsibilities in Data Management. Decision-making processes, risk management, and the strategic importance of Data Management are also highlighted. ‘Reference and Master Data Management for Data-Driven Executives’ emphasises the significance of understanding ROI, effective decision-making, and the potential use of IT resources in business development. Furthermore, it touches upon customer engagement, value-driven Data Management, and the role of generative AI in Master Data Management and customer interaction.

This webinar focuses on the critical aspects of Data Management and modelling. Exploring the challenges and solutions in Data Modelling and emphasising the importance of choosing the right Data Model for database management. Howard Diesel addresses the strategic insights and ethical considerations, highlighting the significance of shared values, leadership style, and skills in Data Modelling. Additionally, the role of Data Management in business strategy and operationalisation and the importance of Data Modelling and strategy in business operations. This instalment in the webinar series, ‘The Conceptual Modelling Journey Map,’ encapsulates the core concepts of Data Management and Data Modelling and their strategic implications in today's business landscape.

‘Data Management for Managers - Community of Practice’ covers the benefits and challenges of establishing a Community of Practice (CoP) in data management and governance. Howard Diesel talks about the CoP approach, which emphasises change management and an agile culture, which can help organisations develop professional skills and knowledge-sharing and encourage group development. Incentives, measurement of interaction quality, and recognition are essential for participation and engagement are explored. The webinar focuses on how CoPs help in community knowledge management, organisational development, and maturity levels. Lastly, Howard discusses the growth of DAMA Community and Business Case, Data Management and Governance initiatives, and the need to establish forums and communities of practice.

‘Business Measurement Sophistication’ outlines the importance of utilising measurement frameworks in business decision-making, understanding the Balanced Scorecard and OKR frameworks, and identifying North Star metrics. Howard Diesel discusses the impact of metrics on business and agile teams, the alignment of business strategy and data metrics, and the importance of countermeasures in agile team performance. The webinar discusses key business metrics and analysis concepts, big data context diagrams and analytics, and the uncertainty framework and team structure. Howard stresses that by understanding and utilising these concepts effectively, businesses can measure performance and culture, align data with business metrics, and ultimately achieve their strategic goals.

‘Working with Data in South Africa Challenges and Opportunities with Daan Steenkamp’ highlights the importance of data management, the value of intangible assets, and the significance of reliable and timely data in decision-making. Dr Daan Steenkamp focuses on South Africa's data ecosystem, its comparison with global best practices, and the challenges and opportunities in data management and open science. He emphasises the importance of data maturity and infrastructure, data sharing, governance, privacy concerns, and utilising alternative data for real-time understanding. The webinar discusses metadata implementation in time series data, community-driven data collaboration, and basic data management.

‘Riskiest Risks - Data Protection for DM Professionals’ outlines key considerations for effective data management, governance, and privacy in modern organisations. Caroline Mouton and Howard Diesel cover data understanding, security and risk assessment, data architecture, and data compliance. The webinar explores the importance of data classification and emphasises cataloguing and lineage, along with the utilization of metadata to analyse data assets. Additionally, Caroline and Howard highlight the significance of data privacy and compliance in automated decision-making and the need for collaboration and accountability in data management. They suggest implementing these strategies as essential for ensuring data integrity, security, and compliance while facilitating effective decision-making processes.

‘DMBOK Revised Edition – Episode 2’ outlines various data management and examination procedures topics. Howard Diesel covers the transition to the new exam platform, Canvas, and provides online quiz procedures and navigation information. Additionally, he discusses the evaluation and exam procedures for D2L, exam feedback, and technical issues. The webinar discusses the changes to data quality dimensions, data integration, data lineage, and metadata. It emphasises the significance of understanding data quality and information security regulations and the role of data modelling and cardinality in relationship types. Lastly, Howard highlights the essential points for data science and ethics exam preparation, the importance of using a dictionary in data management, and data lineage tools.