Artificial Intelligence, undoubtedly one of the most ground-breaking technologies to date, is opening new doors for analysts with innovative tools and capabilities. OpenAI’s ChatGPT, for example, can be applied in strategic, business and functional analysis in various ways. Hands-on workshop on AI-driven Business Analysis.
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.
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.
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.
This 2-day course is designed to equip data professionals with the knowledge and practical skills needed to integrate Knowledge Graphs and LLM’s into their data modeling and analytics workflows. For data modelers, BI analysts, and data scientists, knowledge graphs provide a structured approach to semantic data integration and enable better decision-making through connected data. Combining theory with hands-on practice, attendees will learn every essential step for launching and managing a knowledge graph development project.
[Half day] Discover the essentials of Master Data Management (MDM) and learn how Data Governance ensures data accuracy, trust, and value. From identifying key data domains to mastering reference data, this workshop provides practical insights to help you build a foundation of reliable, well-governed data.
[Half day] Organizations need adaptable governance and team structures to harness data’s strategic value. This course explores Federated Computational Data Governance, balancing centralized oversight with distributed autonomy. Participants will learn to structure teams, ensure accountability, and implement sustainable frameworks, fostering innovation, operational efficiency, and long-term success in a distributed data ecosystem.
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.