
Please note:
Here you can find the English speaking sessions of the TDWI München 2024. You can find all conference sessions, including the German speaking ones, here.
Track: Data Strategy & Data Governance
- Dienstag
11.06. - Mittwoch
12.06. - Donnerstag
13.06.
Embarking on analytics transformation reveals a pivotal challenge: not all can be data-driven. Thus, we shift to Augmented Analytics, seamlessly integrating insights into workflows, bypassing the need for universal data literacy. This approach, elevates decision-making quality, operational efficiency and adoption, highlighting the journey towards a culture of insight-driven innovation. We'll explore the essence of Augmented Analytics as the cornerstone for the next analytics maturity level,…
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…
This presentation gives an overview on the concept of Boehringer Ingelheims Data Science Academy. The Academy aims at providing data literacy to all data users and leaders. It also provides upskilling opportunities for experts in the domain. Besides the general setup, I will give an overview on the founding of the Academy. Furthermore important learnings and our further development are shown.
Target Audience: Anyone who wants to increase data literacy in their company and learn and discuss about…
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…