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Organisations try to federate the access to meaningful data and thereby generate value in a more efficient way. Usually technical roles are involved in the process of transforming raw data into consumable data products. By providing alternative entry points for less technical people to participate in the transformation process and starting to self-serve their needs for meaningful data products, quicker time-to-value can be achieved.
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.
Join us to explore the World of Data Vault Modeling and discover the keys to successful agile EDW deployments. We will answer the questions: What is Data Vault Modeling? How is it different from other techniques? Why do we use it? And, how can we apply DV successfully? This is a dynamic and interactive session where we will pursue ideas, discuss patterns and take the first steps into modeling a Data Vault. And as a bonus you will meet other data modelers and learn something new.
Artificial Intelligence (AI) is currently a central topic and is revolutionizing industries with a dynamic reminiscent of the rapid rise of the internet. Algorithms such as regressions, collaborative filtering, or factorization have been used for years to generate recommendations. But what possibilities do the latest generative technologies open up, and how can we further harness their potentials? In this presentation, you will be introduced to effective use cases showcasing the innovative capabilities of Bloomreach AI "Loomi" and gain insight into how these new technologies are transforming into inspiring opportunities.
Unsere Unit hat die Chance, mit ihren Plattformen und Daten in die AWS Cloud zu gehen. Das ist eine positive Perspektive und eine große Herausforderung zugleich. Parallel zur technischen Transformation, versuchen wir, allen Mitarbeitenden ein Re-Skilling zu ermöglichen und eine kulturelle Transformation durchzuführen. Die Hauptherausforderungen, denen wir dabei begegnen, sind: Umgang mit Ungewissheit Das Buy-In der Mitarbeitenden für den Move in die Cloud zu erhalten Das Re-Skilling durchzuführen Den Menschen das Gefühl von Zugehörigkeit und psychologischer Sicherheit zu geben in einem komplexen Umfeld Erfahre im Vortrag mehr dazu, wie wir mit diesen Herausforderungen umgehen (u.a. mit Nutzung von Erkenntnissen aus der Neuropsychologie und ohne besonderes Budget) und welche Maßnahmen am besten funktioniert haben! Wir freuen uns auf Euch!
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.
Carsten Schweiger, DWH-Engineer und Agile Coach, zeigt, wie langwierige und aufgeblähte DWH-Projekte ein Relikt der Vergangenheit werden. Ein model-driven Data Vault-Ansatz und kurze Feedback-Zyklen bringen Business und IT zusammen. Automatisierung und Standardisierung im Entwicklungsprozess senken Kosten und Aufwände drastisch. Willkommen in einer Welt, in der Time-to-Market kein Hindernis mehr darstellt, sondern einen Wettbewerbsvorteil bietet.
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.
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.
Explore how Microsoft Fabric is enhanced by WhereScape. Learn about streamlined migration, low-code integration, and enhanced metadata management, boosting data management efficiency. Experience the synergy between WhereScape and Microsoft Fabric for advanced data technology.
The sports retail industry increasingly relies on leveraging data as part of day-to-day operations. With their newly modernized emnosSPORTS platform, emnos has witnessed true transformation based on real-time collaboration between sports retailers and sports brands. To achieve this, they require intuitive, flexible data analytics and visualization for multiple user types and organizations - a familiar challenge for emnos given their 15 years experience in the sports retail and food industries. Yellowfin and emnos have partnered to accelerate time to value for emnos’ clients, the sports retailers as well as the sports brands. Yellowfin provides the embedded analytics platform which enables emnos to deliver sophisticated sales, customer & stock KPIs, and forecasts to the sports industry - ultimately maximizing sales, reducing planning inefficiencies, and ensuring the right product at the right time in the right place to win with the consumers.
Make Data and AI a team sport! Bring AI to all your data (structured and unstructured) with a simple approach. Understand how to activate GenAI powered data insights. Learn what features on Google’s Data Cloud help you to set up a mature Data and AI ecosystem.
In the realm of AI Assurance and ensuring trust through agile data management, the emergence of RAG (Retrieval augmented generation) represents a pivotal advancement. RAG's integration of retrieval and generation techniques fosters richer and more contextually relevant responses, enhancing transparency and accountability in AI systems. By leveraging pre-existing knowledge alongside generative capabilities, RAG promotes robust data governance and bias mitigation, crucial components in fostering trustworthiness. In this session you will learn about the crucial role that effective Data Management plays in conjunction with Gen AI and how the Denodo Platform can enhance Gen AI by providing greater context.
The users of a modern data & AI platform can be very different with their individual needs in terms of development productivity, performance, user-friendliness and, of course, the use of the latest ML & AI technologies. In this talk, we will take a closer look at three user types: DATA PRODUCT BUILDER - as a technologist, is interested in quickly converting technical requirements into intuitively usable data products. Access to all relevant data, high-performance pipelines, data quality and professional presentation/management of data products are important success factors here. CITIZEN DATA SCIENTIST - as a business user, prefers to analyze specific questions "at the speed of thought" and appreciates the ease of use of data products and ML/AI functions. ML AND APPLICATION ENGINEER - helps to put an AI experiment/MVP into production, e.g. in the form of an intelligent, scalable app. The focus here is on the ability to use suitable software/frameworks (on a container basis), apply MLOps practices and operate the entire solution securely. How well does the Snowflake perspective fit your company's data strategy? The Snowflake team on site is looking forward to numerous and lively discussions after this talk!
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 Simon Nehls, Director Data Intelligence at Zeitverlag
Truly complete data vault automation means that data vault expertise is no longer required. With this vision in mind, Reinhard and Marco developed Yotilla. Yotilla's innovative approach fully automates Data Vault data modeling and enables the definition of business logic without knowledge of the Data Vault data model. In the Breaktalk, we will present the way Yotilla works and show how Yotilla automates all changes to the data warehouse so that you can keep pace with changing or new business requirements at the same time. Using a customer example, we will show that Yotilla both significantly reduces the costs of creating and developing the data warehouse and generates benefits much faster.
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.
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.
Auf Basis ihrer umfassenden Erfahrungen gibt Annabell Whitney exklusive Einblicke in das Rockstar- Leben und deren Erfolgsgeheimnisse. Sie zieht überraschende Parallelen zwischen beiden Welten und inspiriert die Teilnehmer so mitreißend wie auch musikalisch, die eigene Rockstar-DNA zu entflammen. Diese Keynote setzt ungeahnte Energien frei, um Motivation und Begeisterung zu entfachen – für den persönlichen Erfolg.
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