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.
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.
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 Data Architecture, Datamesh Light, Data Engineering & Analytics, Data Governance, Knowledge Graphs, Data modelling, Impact of Generative-AI. Seize the opportunity to discuss and network with thought leaders in DW/BI such as Alec Sharp, Mike Ferguson, prof.dr. Peter Boncz, Ron Tolido, Jan Henderyckx and many others. Access to the conference recordings.
Business processes matter, because business processes are how value is delivered. Understanding how to work with business processes is now a core skill for business analysts, process and application architects, functional area managers, and even corporate executives. This three day workshop by BPM-guru Alec Sharp shows how to discover and scope a business process, clarify its context, model its workflow with progressive detail, assess it, and transition to the design of a new process by determining, verifying, and documenting its essential characteristics. Everything is backed up with real-world examples, and clear, repeatable guidelines.
[In-person or Online] 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 Chris Bradley, author of DMBoK2, prepares for the CDMP Data Management Fundamentals (DMF) examination.
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.
