Let’s Talk Data: Business Technology Podcast | SAP

In this episode of the SAP Let's Talk Data podcast, host Corrie Birkeness is joined by experts Andreas Seifried (Product Manager at SAP) and Kai Hüner (CTO of CDQ) as they discuss the critical role of automation and data quality in master data management (MDM). They dive into the value of automation in master data management (MDM) and the critical role of high-quality, trusted data in enabling reliable and efficient automation. They explore the challenges of manual data management, such as errors, inefficiencies, and delays, and highlights how automation can improve data accuracy, save costs, and support business growth.  Andreas and Kai also explain how their collaboration integrates CDQ's trusted data services with SAP's Master Data Governance (MDG) solution. They share examples of companies achieving faster processes, reduced compliance risks, and enhanced scalability through automation.     Key Topics of Discussion:  The Importance of Trusted, High-Quality Data - Trusted data is essential for reliable automation, compliance, and AI initiatives. The concept of "trusted data" emphasizes accuracy, traceability, and verified sources like tax authorities or trade registers.  Challenges of Manual Master Data Management (MDM) - Manual MDM is labor-intensive, error-prone, and causes inefficiencies, delays, and bottlenecks. Mistakes in master data lead to operational issues like delayed logistics, compliance failures, and rework costs.  Benefits of Automation in MDM - Automation reduces manual effort, errors, and compliance risks while improving speed and scalability. Examples highlight significant cost and time savings, such as reducing supplier onboarding from 50 minutes to 1 minute.  Collaboration Between SAP and CDQ - SAP MDG integrates with CDQ's trusted data services to enable seamless data lookup, enrichment, and validation. Simplified setup processes, like value mapping and trusted data sourcing, streamline automation implementation.  Features Supporting Automation in SAP MDG - Tools like derivation rules, rule mining, and AI-powered features enhance data accuracy and governance. These features help organizations automate repetitive tasks, reduce errors, and enable growth.    Subscribe to The Let’s Talk Data Podcast  Apple Podcasts  Spotify  YouTube    Connect With Corrie Birkeness  Linkedin  Connect With Andreas Seifried  LinkedIn  Connect With Kia Hüner  LinkedIn    Additional Resources:  CDQ Business Value Study: https://hubs.la/Q02YwW-_0   Enrichment of Business Partner Master Data using CDQ blog: https://community.sap.com/t5/technology-blogs-by-sap/mass-enrichment-of-business-partners-with-tax-and-id-numbers-found-using/ba-p/13915206   SAP Master Data Governance product page: www.sap.com/mdg  CDQ on the SAP Store: https://store.sap.com/dcp/en/product/display-2001000790_live_v1 

In this episode on modern manufacturing, we dive into AdvanSix’s journey with SAP’s Cloud ERP through the "Rise with SAP" offering. Our guest, Laura Lambeseder, an SAP S/4HANA Program Leader, shares a behind-the-scenes look at how AdvanSix—a fully integrated chemical manufacturing companyis approaching its digital transformation with cloud ERP.    Listeners will hear about the strategic goals and benefits AdvanSix aims to achieve with their move to a cloud-based ERP solution, coupled with the challenges encountered along the way. Laura discusses how cloud ERP is expected to enhance operational efficiency and flexibility, enabling AdvanSix to respond more swiftly to market demands. This episode offers a practical case study on modernizing complex, integrated manufacturing operations through cloud technology, in addition to providing valuable insights for businesses considering a similar transformation.    Key Topics of Discussion:  The Role of Cloud ERP in AdvanSix's Digital Transformation - Discussion of why AdvanSix chose to transition to a cloud-based ERP and the anticipated benefits for their operations.  Challenges in Implementing Large-Scale ERP Solutions - Exploration of obstacles encountered during the ERP implementation process, including change management and system integration.  Impact of ERP on Operational Efficiency and Agility - Insights into how the new ERP system is expected to streamline processes, enhance agility, and support AdvanSix’s long-term business goals.  Strategies for Managing Digital Transformation - Practical strategies employed by AdvanSix for navigating such a significant digital shift, including managing expectations and setting realistic goals.  Future Expectations and Goals for AdvanSix Post-ERP Implementation - An overview of AdvanSix's vision for the future, focusing on the expected impacts of the ERP system on their business scalability and adaptability.    Subscribe to The Let’s Talk Data Podcast  Apple Podcasts  Spotify  YouTube     Connect With Laura Lambeseder  Linkedin    Connect With Jennifer Frank McGrory  LinkedIn    Don’t stop here – discover more:  Value Exploration Workshop - a hands-on gamified SAP S/4HANA Cloud simulation experience. Catch the last workshop for 2024: https://bit.ly/41ilyOQ 5 Minutes with....Glen Moffatt on The Renaissance of ERP: https://bit.ly/3Eeefvr   SAP has a Cloud solution for every organization, learn more: https://bit.ly/3NOkoln 

In this episode of the SAP Let's Talk Data podcast, we explore how Master Data Management (MDM) is essential for leveraging modern technologies like Data Fabric and Artificial Intelligence (AI). While Data Fabric connects data across systems for real-time access, and AI offers powerful insights, their success depends on a solid MDM foundation. Hosted by Corrie Birkeness, this episode is uniquely AI-generated and provides an in-depth look at why foundational data practices are more important than ever in today’s data-driven business environment.    Key Topics of Discussion:  The Critical Role of Master Data Management (MDM): MDM serves as the foundation for ensuring clean, consistent, and reliable data, which is crucial for effective decision-making across organizations.  Introduction to Data Fabric: Data Fabric is explained as a modern approach to connecting data across multiple systems, providing real-time access without centralizing it, and enabling a seamless flow of information.  The Dependency of AI on Data Quality: The episode highlights how AI models, like ChatGPT and DALL·E, are only as good as the data they are trained on. Poor data quality can lead to inaccurate outputs, known as AI "hallucinations."  The Financial Impact of Poor Data Management: Incorrect data can result in significant revenue losses, with businesses potentially losing up to 15% due to poor data decisions, underlining the importance of robust MDM practices.  Real-World Case Study on MDM Success: A retail company increased online sales by 20% after improving its MDM strategy, showcasing the tangible benefits of investing in clean, well-managed data for personalized customer engagement and revenue growth.     Subscribe to The Let’s Talk Data Podcast  Apple Podcasts  Spotify  YouTube    Additional Resources: SAP Master Data Governance Product Page Modern MDM and its role in data fabric and AI:  What is a business data fabric? The Evolving Role of MDM in Modern Data Management

In this podcast episode, Terry Penner and Jürgen Butsmann discuss the latest developments in SAP Business AI for SAP S/4HANA, and SAP BTP.  The conversation focuses on how Artificial Intelligence is evolving at SAP, with particular attention to large language models (LLMs) and their growing application in SAP cloud ERP and SAP BTP solutions.  Speakers:  Jürgen Butsmann is part of the SAP S/4HANA Cloud Product Marketing team responsible for AI in the context of SAP S/4HANA, finance and digital supply chain. Jürgen has been with SAP for more than 26 years.  He is a recognized expert for SAP S/4HANA and SAP BTP. Terry Penner is part of the SAP BTP marketing team for Business Applications, focused on SAP BTP for SAP S/4HANA. He has more than 23 years of technical and business experience in the SAP platform and analytics, including working directly on hundreds of customer implementations. Key Topics of Discussion:  Evolution of AI and Large Language Models (LLMs) –The growth of LLMs, their transition from entertainment to business use, and their fact-based capabilities.  AI Integration in SAP’s ERP Strategy – How AI is becoming central to SAP’s strategy, particularly in areas like cloud ERP, digital supply chain, and finance.  Differentiating the AI solutions in SAP cloud ERP – Notable price declines in AI services make AI technology more accessible and attractive for business applications.  Role of SAP Joule – What is SAP Joule and how can AI add value to the business AI Extensibility and SAP BTP – Collaboration between SAP BTP and ERP to provide extensible AI solutions, supporting various business processes through flexible and scalable tools.   Subscribe to The Let’s Talk Data Podcast  Apple Podcasts  Spotify  YouTube    Call to Action: Learn more about SAP BTP for S/4HANA and RISE at SAP BTP for S/4HANA This is a follow-up to AI for SAP S/4HANA and SAP BTP: a deep-dive discussion