Data Warehousing & Business Intelligence Summit

Data Products – From Design, to Build, to Publishing and Consumption [English spoken]

This half-day workshop looks at the development of data products in detail. It also looks at the strengths and weaknesses of data mesh implementation options for data product development. Which architecture is best to implement this? How do you co-ordinate multiple domain-oriented teams and use common data infrastructure software like Data Fabric to create high-quality, compliant, reusable, data products in a Data Mesh. Is there a methodology for creating data products? Also, how can you use a data marketplace to share and govern the sharing of data products?

Concept Modelling and The Data-Process Connection [English spoken]

In this session Alec Sharp will introduce methods to get people engaged in concept modelling, practice with guidelines to ensure proper naming and definition of entities/concepts/business objects and illustrate the many ways concept models (conceptual data models) support business process change and business analysis.

Data Architecture Evolution and the Impact on Analytics [English spoken]

In this session Mike Ferguson looks at different architectures that recent were offered by many different vendors claiming to be ‘the modern data architecture solution’ for the data-driven enterprise, with support for open table formats such as Apache Iceberg, Apache Hudi and Delta Lake. In addition, we have seen significant new milestones in extending the ISO SQL Standard to support new kinds of analytics in general purpose SQL. He will discuss the impact of this on analytical data platforms and what it means for customers.

Generative AI in Data Management and Analytics – A New Era of Assistance, Productivity and Automation [English spoken]

In this session, Mike Ferguson, Europe’s leading IT industry analyst on Data Management and Analytics, looks at the impact generative AI is having on Data Management, BI and Data Science and what it can do to help shorten time to value.

Connecting Meaning: The promise and challenges of Knowledge Graphs as providers of large-scale data semantics [English spoken]

In this talk, we will delve deeper into the significance of knowledge graphs as facilitators of large-scale data semantics. The discussion will encompass the core concepts, challenges, and strategic considerations that architects and decision-makers encounter while initiating and implementing knowledge graph projects.

Big Data in Health Care – coping with GDPR (Dutch spoken)

Vektis manages a wealth of information from claims data. But one has to navigate between the guidelines and restrictions from the GDPR legislation and the wishes from the organisation and clients for analyses on that data. Herman Bennema explains how one copes with this.

Data Modelling: What data model fits your purpose? (Dutch spoken)

The more regulations that organisations have to deal with (GDPR, Data Act, AI Act) the more important it is to understand your data and data storage. Data modelling is crucial here but which type of data model fits best for which application? Tanja Ubert discusses the most common types of data models, the relationship between them and when best to apply which type.

Data Management at Evides: implementing a successful data strategy step by step (Dutch spoken)

In this presentation Matthijs Stel will show how data management is implemented in a practical way at Evides – a drinking water supplier for 2.5 million consumers and companies in the South-West of the Netherlands. Where to start? How to engage stakeholders? How to stay relevant? And how to anchor the strategy within the organization?

The Human Side of Data Modelling

Alec Sharp introduces simple, proven techniques to vastly improve engagement and comprehension by all participants in Concept Modelling, especially those unfamiliar with or even uninterested in modelling.

Data as a Driver for AI (Dutch spoken)

In this talk by Jan Veldsink, we are going to focus on data centricity, putting the data in the centre and turning it into multiple analyses/reports and applications.