Agenda

Since August 2023, Dyn has been the new home for handball, basketball, volleyball, table tennis and field hockey. In the presentation, Johannes and Felix give an insight into how Dyn built a BI architecture for a streaming service with more than 2,000 live games per season within a few months.

We explore an innovative approach to mascot creation that combines AI agents and fine-tuned foundation models to uphold brand standards. While traditional foundation models offer a solid starting point, they often lack the specificity required for brand-centric content. By integrating AI agents alongside Stable Diffusion technology and a user-friendly interface (UI), we provide insight into a solution that enables creative employees to generate our beloved mascot, the POINTEE, tailored to PAYBACK's unique identity. Join us as we explore how this synergy between AI agents and foundation models can revamp content generation, but also where it reaches its practical boundaries.

MediaMarktSaturn needs to enable data analytics at scale to meet the increasing market requirements. The talk illustrates the journey from the centralized analytics of the BICC, via a complete decentralized Data Mesh approach, towards a hybrid setup in the new Analytical Platform. We look at pros & cons of each concept based on first-hand experience. From that, we conclude how to achieve scalable analytics, while also aiming for company-wide adoption. Regarding the latter, organizational structures, analytical maturity, and legal requirements can be more challenging than the technology itself.

OTTO is transforming itself into a platform and is no longer just a retailer, but also a marketplace provider. The number of marketplace partners is growing continuously. This offers many opportunities - but also some challenges. In the presentation, you will learn how we want to make the support of our partners more efficient in the future with the help of a GenAI-based chatbot and why this has given us a whole zoo of colourful little animals for AI optimization.

At LAYA, we have opted for an unconventional approach: push instead of pull! In this talk, we'll tell you why and how we did it. With our Azure Data Factory, Snowflake and dbt-based architecture, we'll show you how we overcame the challenges and what we learned from them.

In the Provocative Debate Forum, we invite our audience to put forward bold and possibly provocative theses for discussion in order to challenge our speakers on stage. The speakers are given 100 seconds to respond to each thesis. This promises to be an exciting and intensive discussion of important topics and will certainly lead to interesting insights. Participants: Andreas Wiener, Managing Director of BI or DIE, Pia Wolf, Founder & Managing Director of agrantis, Simon Faatz-Riccò, Team Lead Data Engineering at RND, Friedrich Staufenbiel, Managing Director & Head of Tech at Berlin Bytes, and Sebastian Amtage, Founder & Managing Director of b.telligent.

AI in the tax department is here to stay. I use three specific examples to show the added value that AI can already deliver in tax departments today.

Our unit has the opportunity to move to the AWS Cloud with its platforms and data. This is a positive perspective and a big challenge at the same time. Alongside the technical transformation, we are trying to re-skill the entire workforce and carry out a cultural transformation. The main challenges we are facing are: • Dealing with uncertainty • Getting buy-in from employees for the move to the cloud • Implementing the re-skilling • Giving people a sense of belonging and psychological security in a complex environment Learn more at our talk on how we dealt with these challenges and which measures worked best! We look forward to seeing you there!

In today's digital landscape, organizations are increasingly recognizing the benefits of migrating their data warehousing infrastructure to the cloud. This transition offers unparalleled scalability, flexibility, and enables businesses to unlock the true potential of their data assets. However, successful cloud migration requires careful planning, an agile mind set, and a brave mentality for the challenges and opportunities that lie ahead. This conference talk aims to provide a comprehensive overview of the P7S1 cloud migration in the context of data warehousing. We will delve into the key considerations, good practices, and pitfalls that organizations must navigate to ensure a seamless and successful migration.

Hear the compelling story of our attempt to move a 15-20 year old legacy data warehouse from on-premise to the cloud and why it didn't work out. Despite years of investment and effort, the project failed. We’ll break down the reasons, from technical issues to strategic missteps, and share the new approach we’re using to make sure we succeed this time around. Learn how to avoid common pitfalls and explore better alternatives to traditional cloud migration.

The approach of a central Data Warehouse for everything can be seen as a failure – too expensive, too slow, too cumbersome. Nonetheless, how can a holistic data-based view of the business be achieved? How to deal with data silos und various business processes after acquisitions? How to balance data platform building versus providing specific answers to business questions? Dr. Clemens Schäffner will discuss these questions and show how Gerresheimer developed a suitable data strategy, what specific implementation steps were taken and how the long-term vision is approached step by step.

Complete transparency across all business processes and their data representation has long been a dream of many. However, in the manufacturing industry in particular, this involves a high level of investment in order to capture the relevant data within production. This is followed by centralization, standardization and integration with other “classic” data sources. Fränkische IP has risen to this challenge and now operates a cloud platform that makes it possible to analyze data from incoming goods through production to delivery in an integrated manner. A traceability portal provides Fränkische IP's customers with extensive analysis options for their QA processes and further planning of production capacities.

Nowadays, “AI” is a buzzword for everyone (including Senior Management). Many Data & Analytics teams are exploring how to leverage the new potentials of Generative AI for their work processes. The speech explains the common dangers of Gen AI, the impact due to regulations frameworks and will concentrate on how DKV Mobility is creating their AI framework to prioritize on business value.

Football stands as a cherished global phenomenon, and the Bundesliga is dedicated to continually uplifting fan engagement to unprecedented levels. Our ambition is to “BECOME THE MOST FAN-CENTRIC LEAGUE IN THE WORLD”. Through harnessing cutting-edge technologies and pioneering strategies, we are empowered to deliver personalized content and immersive experiences for all.

The constantly growing number of multichannel marketing campaigns increases the complexity of cross-departmental collaboration for planning and implementing measures. In the past, Excel-based, decentralized planning led to a great deal of manual effort and inconsistencies. The introduction of a cloud-based marketing resource management (MRM) solution creates a single point of truth. Thanks to the integrated workflows, the parties involved can work together much more efficiently.

Introducing agile working methods in a single team is relatively simple. Implementing it for several teams in a department such as DHW, Reporting or BI is much more complex. At S-Kreditpartner (SKP), we have adapted scaling Scrum methods for ourselves and introduced an agile way of working based on Scrum and Kanban in the Data Management department. With success! This experience report describes our journey from the start with several, independently operating development teams to a scaling organizational unit with integrated teams. We will use examples to describe the challenges and experiences of this journey and the lessons we have learned along the way.

In thermal waste treatment, extensive operational data is generated. The challenge lies in the complex capture and analysis of this data while maintaining data integrity and cybersecurity to make it usable for quick and informed decisions. Our goal is to increase efficiency and reliability by combining data processing and OEM process knowledge in combustion and flue gas cleaning. Our solution leverages edge-to-cloud data transmission and analysis on the Stackable platform in the IONOS Cloud.

Metadata as "data about data" is intended to help find, understand, and trust data. However, the topic is often approached purely technically, neglecting the substantive significance of the data. We discuss what is needed for a human user to gain insight and understanding for working with data from metadata, and the implications this has at Commerzbank for the establishment of a Data Governance Program and the use of tools.