Data Transparency is a basic need of every data worker. It is crucial to find the right data in a limited amount of time to keep the time-to-market of data and analytical products short. However, documenting and classifying data manually can be cumbersome due to the vast amount of data. In this session, we present the approach MediaMarktSaturn has taken to use LLMs and other AI models in combination with a data catalog to establish a high level of data transparency in a semi-automated way.

Targe…

Supporting analytics and data science in an enterprise involves more than installing open source or using cloud services. Too often the focus is on technology when it should be on data. The goal is to build multi-purpose infrastructure that can support both past uses and new requirements. This session discusses architecture principles, design assumptions, and the data architecture and data governance needed to build good infrastructure.

Target Audience: BI and analytics leaders and managers;…

The successful establishment of low-code and self-service platforms in enterprises is not a guaranteed. Seamless collaboration among departments, management, IT, and security is crucial. The Müller Service Group has effectively tackled this challenge through the implementation of a governance framework. In this session, we will share best practices and insights from our journey towards successful governance. We will use the Microsoft Power Platform as a case study within the presentation as an…

How can Data Cataloguing, Modelling, DQ and other streams join forces to create business value? The speaker shares experience from a data vendor and a manufacturing business.

Target Audience: Data Professionals and decision makers with stakes in the value chain big picture
Prerequisites: Familiarity with Data Governance concepts (Catalogue, Quality, Integration etc.)
Level: Advanced

Extended Abstract:
Data Governance can contribute local optimizations to a company's value chain, such as better…