Unlock the future of trustworthy AI. This seminar helps you connect AI Governance, Responsible AI, and Data Governance into one actionable framework. Learn how to mitigate risks, ensure compliance, and embed transparency, fairness, and accountability in AI initiatives. Packed with real-world examples and practical tools, this session is ideal for leaders who want to align innovation with ethics and create lasting business value.
The DAMA DMBoK2 describes 11 disciplines of Data Management, with Data Governance being at the heart of all of these. The Certified Data Management Professional (CDMP) qualification provides a pathway for the introductory level (Associate) through higher levels of attainment. This course provides you with the knowledge, methods and techniques required to analyse, mature and implement information management solutions within your organisation. It gives a solid grounding in all the different disciplines of Data Management. Additionally, this course by Winfried Etzel prepares for the CDMP Data Management Fundamentals (DMF) examination.
Organizations need data science, self-service BI, embedded BI, edge analytics, and customer-driven BI. For many, it is the key reason to develop a new, future-proof data architecture. This two-day seminar discusses how to design a modern data architecture. Guidelines, roadmaps, design criteria, tips, design rules, use cases, case studies, and practical examples are discussed extensively.
A 3-day dimensional data modelling course presented internationally by leading data warehousing expert and author Lawrence Corr, covering the latest agile techniques for systematically gathering Business Intelligence (BI) requirements and designing effective DW/BI systems. Practical, hands-on workshop based on 7W, star schema and BEAM approach.
This highly participative data modelling workshop by Alec Sharp covers Entity-Relationship modelling from a non-technical perspective, provides tips and guidelines for the analyst, and explores contextual, conceptual, and detailed modelling techniques that maximize user involvement. It provides techniques for improving communication between data modelers and subject matter experts. Topics will be covered with a discussion of the issue, a review of guidelines and examples, a workshop exercise, and a group solution and debriefing.
Data Warehousing & Business Intelligence conference in which we cover topics such as Cloud Data Architecture, Datamesh & Federated Data Governance, Data modelling, DWH Design using Gen-AI, AI-Act and Data-Act. Seize the opportunity to discuss and network with thought leaders in DW/BI such as Alec Sharp, Nicola Askham, Winfried Etzel, Sjoukje Zaal, Jos van Dongen and many others. Access to the conference recordings.