In this insightful episode of the Let’s Talk Data Podcast by SAP, host Niklas Siemer is joined by Shabana Samsudheen to explore the exciting new Knowledge Graph Engine in SAP HANA Cloud. The conversation dives deep into what knowledge graphs are, how they transform data analysis, and the value they unlock for organizations already using HANA Cloud—or considering it.  Together, they break down key concepts like multi-model data processing, real-time insights, and the seamless integration of relational, document, spatial, and graph data. Shabana shares practical guidance on how to model, build, and use knowledge graphs effectively, including how to enhance AI applications like recommendation systems, search engines, and large language models (LLMs).    Key Topics of Discussion:  What Knowledge Graphs Are and Why They Matter Explanation of knowledge graphs, how they differ from traditional data models, and their role in connecting entities and relationships for deeper data insights.  Using Knowledge Graphs in SAP HANA Cloud How SAP HANA Cloud supports multimodal data processing and allows seamless integration and analysis of knowledge graph data alongside other data types.  Creating and Managing Knowledge Graphs Steps to build knowledge graphs manually or with tools like LLM-based extractors, and how to store, query, and analyze them using HANA Cloud’s high-performance engine.  Business and AI Use Cases Powered by Knowledge Graphs Real-world applications in search engines, recommendation systems, and enterprise AI—highlighting how knowledge graphs enhance performance, context, and accuracy.  Future Trends and Strategic Importance of Knowledge Graphs Predictions for the evolution of knowledge graphs, including real-time graph processing, graph-based reasoning, and integration with large language models for next-gen AI.    Subscribe to The Let’s Talk Data Podcast  Apple Podcasts  Spotify  YouTube    Connect With Niklas Siemer  Linkedin  Connect With Shabana Samsudheen  LinkedIn    Additional Resources:  Learn more about SAP HANA Cloud at www.sap.com/hana  Explore with the Knowledge Graph overview blog: https://community.sap.com/t5/technology-blogs-by-sap/connecting-the-facts-sap-hana-cloud-s-knowledge-graph-engine-for-business/ba-p/13888597  See what else is new with SAP HANA Cloud: https://community.sap.com/t5/tag/whatsnewinsaphanacloud/tg-p 

In this episode of SAP Let’s Talk Data, host Daniel Dukes sits down with the 2024 Dota 2 World Champions—Team Liquid—for an exclusive behind-the-scenes look at how data is redefining competitive eSports. Joining the discussion are Team Liquid’s Dota (Defense of the Agents) analyst and coach Mathis Friesel (Jabbz) and Dota player Samuel Svahn (Boxi), along with SAP Dota Developer Maik Vogt. The conversation unpacks how real-time analytics, rapid innovation, and co-developed tools give Team Liquid a winning edge.  Discover how SAP BTP (Business Technology Platform) and SAP HANA Cloud powers fast adaptation to game-changing patches, enables strategic insights from complex in-game data, and supports smarter decision-making in high-pressure scenarios. From tracking opponent patterns to responding to meta shifts, Team Liquid shares how data agility is critical at the highest level of play.  The episode also dives into the evolving role of AI in eSports, spotlighting advanced tools like draft simulators, team fight detection, and SAP Joule—an AI assistant that helps teams explore strategies through natural language interaction.  Whether you're a tech leader, eSports fan, or curious about the future of AI-powered performance, this episode is a deep dive into how cutting-edge data innovation is reshaping the competitive landscape—one play at a time.      Key Topics of Discussion:  Real-Time Data Analytics for Competitive Edge Discover how Team Liquid uses SAP’s data and analytics platform to gain strategic insights from live Dota 2 match data, helping them prepare smarter and outmaneuver opponents.  Adapting to Constant Game Changes Learn how frequent Dota 2 patches impact gameplay and data workflows—and how SAP Business Technology Platform enables fast, flexible responses to maintain analytical accuracy.  AI’s Growing Role in Esports Explore the potential of artificial intelligence in gaming, from OpenAI bots to tools like draft simulation, team fight detection, and the development of SAP Joule, an AI assistant for team prep.  Real-World Wins with Data Hear how Team Liquid used data to uncover warding patterns and exploit early-game weaknesses—real examples of how analytics have led to success on the world stage.  Behind the Scenes of SAP x Team Liquid Innovation Get a look at how Team Liquid and SAP co-innovate—from developing new features to adapting existing tools for evolving gameplay and competitive needs.    Subscribe to The Let’s Talk Data Podcast  Apple Podcasts  Spotify  YouTube    Connect With Mathis Friesel  Linkedin  Connect With Daniel Dukes  LinkedIn  Connect With Team Liquid  LinkedIn    Additional Resources:  Learn more about the AI Draft Bot and Team Liquid’s relationship with SAP on our website – where you can read the feature story and watch videos about our work together: https://bit.ly/42HY05X  Learn more about SAP HANA Cloud and Intelligent Data Applications: https://bit.ly/3ReSUrF 

In Part 2 of the latest Let’s Talk Cloud ERP podcast, host Jennifer Frank McGrory continues her chat with Bill Piotrowski and Chris Perry of IBM about IBM’s ambitious transformation journey as it modernizes its global operations with SAP S/4HANA. Over 18 months, IBM executed a complex migration using an innovative Rapid Discovery approach, combining selective data migration, automation, and AI-driven tools to streamline the process.  Led by IBM Consulting, the transition leveraged SNP’s Bluefield methodology, Smart Shift automation for code remediation, and Tricentis for rigorous testing. IBM also partnered with SAP Rise and IBM Power VS Cloud to ensure a scalable and high-performance infrastructure. The discussion highlights the importance of execution rigor, including multiple mock migrations and test cycles to mitigate risks.  Listeners will gain valuable insights into key lessons learned, including the need for a clear business-aligned strategy, automation-driven efficiencies, and strong partnerships. The episode serves as a guide for enterprises looking to modernize their IT landscapes, demonstrating how hybrid cloud, AI, and automation can accelerate transformation. Whether you’re an IT leader or a business executive, this episode provides actionable takeaways for a successful SAP S/4HANA migration and broader digital transformation.    Key Topics of Discussion:  IBM’s Strategy for SAP S/4HANA Migration – How IBM aligned its transformation with its hybrid cloud and AI vision, emphasizing business value and agility.  Rapid Discovery & Selective Data Migration – The innovative approach IBM used to streamline migration, leveraging SNP’s Bluefield methodology and AI-powered automation.  Execution Rigor & Risk Mitigation – The importance of multiple mock migrations, testing cycles (using Tricentis), and automation (Smart Shift) to ensure a smooth transition.  Hybrid Cloud & AI Integration – How IBM optimized its SAP landscape using IBM Power VS Cloud and SAP Rise, enabling scalability and performance improvements.  Key Lessons & Best Practices – Actionable takeaways for enterprises planning an SAP S/4HANA migration, including automation strategies, execution best practices, and strategic partnerships.    Subscribe to The Let’s Talk Data Podcast  Apple Podcasts  Spotify  YouTube    Connect With Bill Piotrowski  Linkedin  Connect With Chris Perry  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.  SAP Cloud ERP Simulation, a Value Exploration Workshop  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  North American Manufacturing Excellence Summit April 14-16: https://bit.ly/4hVy8bu  IBM Think Conference: https://bit.ly/4j1sZ2m  SAP Sapphire – Orlando and Madrid: https://bit.ly/4c7Dz5I 

In Part 1of the latest Let’s Talk Cloud ERP podcast, host Jennifer Frank McGrory chats with Bill Piotrowski and Chris Perry of IBM about IBM’s ambitious transformation journey as it modernizes its global operations with SAP S/4HANA. As a tech giant with a complex enterprise landscape, IBM is leveraging cloud, AI, and automation to enhance efficiency, agility, and innovation.  Join us as we dive into why this shift was necessary, the challenges of migrating from legacy systems, and how IBM is embracing hybrid cloud technology to drive business value. We uncover the strategies IBM is using to integrate AI-powered automation, streamline financial processes, and optimize supply chain operations, all while ensuring business continuity.  Listeners will gain insights into IBM’s partnership with SAP, the benefits of a modern ERP system, and the lessons learned from one of the largest enterprise transformations in the industry. Whether you’re an IT leader, business executive, or tech enthusiast, this episode provides valuable takeaways on digital reinvention, enterprise modernization, and the future of intelligent business operations.  Tune in to hear how IBM is redefining the enterprise IT landscape and setting a new standard for digital transformation.   Part 2 coming soon!    Key Topics of Discussion:  IBM’s Decision to Move to SAP S/4HANA – The strategic reasons behind IBM’s migration, including the need for modernization, efficiency, and alignment with digital transformation goals.  Implementation Challenges and Lessons Learned – Insights into the complexities of transitioning from legacy systems, overcoming obstacles, and key takeaways from IBM’s experience.  The Role of Hybrid Cloud and AI in the Transition – How IBM leveraged hybrid cloud and AI-driven automation to enhance scalability, agility, and performance throughout the migration process.  Impact on Business Operations and Efficiency – A discussion on how SAP S/4HANA has improved IBM’s workflows, decision-making, and overall operational effectiveness.  Future Vision and Next Steps – What’s next for IBM after this transformation? Exploring continuous innovation, emerging technologies, and how SAP S/4HANA will support IBM’s long-term strategy.    Subscribe to The Let’s Talk Data Podcast  Apple Podcasts  Spotify  YouTube    Connect With Bill Piotrowski  Linkedin  Connect With Chris Perry  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.  SAP Cloud ERP Simulation, a Value Exploration Workshop  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  North American Manufacturing Excellence Summit April 14-16: https://bit.ly/4hVy8bu  IBM Think Conference May 5-8: https://bit.ly/4j1sZ2m  SAP Sapphire – Orlando and Madrid: https://bit.ly/4c7Dz5I 

The episode features Jennifer Frank McGrory speaking with Steve Birgfeld, Vice President of IT and Services of Blue Diamond Growers., a leading agricultural cooperative and almond processor. They discuss the company's journey through digital transformation and the role of technology in enhancing its operations, customer experience, and market reach. Steve and Jen dive into how Blue Diamond Growers embraced digital transformation to address industry challenges, improve efficiency, and meet customer expectations. It offers valuable lessons for organizations in agriculture and beyond, showcasing the potential of technology to drive growth and sustainability while honoring legacy and tradition.   5 Key Topics of Discussion: Digital Transformation is Essential for Growth and Efficiency: Embracing modern technologies like cloud-based platforms, data analytics, and predictive tools can significantly enhance operational efficiency, supply chain transparency, and product quality in the agriculture industry. Balancing Tradition with Innovation: Successful digital transformation in agriculture requires blending innovative technologies with a company’s legacy values, ensuring that tradition and sustainability are preserved while evolving to meet modern demands. Sustainability is a Core Driver: Technological advancements support sustainability initiatives such as water conservation, reducing carbon footprints, and promoting ethical farming practices, reinforcing the importance of environmental responsibility in the digital age. Cultural and Organizational Shifts are Key to Success: A successful digital transformation journey requires overcoming internal challenges, such as cultural shifts, engaging stakeholders, and aligning teams around common goals. Ongoing Process and Continuous Improvement: Digital transformation is not a one-time project but an ongoing journey. It’s crucial to start small, test solutions, learn from experiences, and scale what works to achieve long-term success.   Subscribe to The Let’s Talk Data Podcast  Apple Podcasts  Spotify  YouTube     Connect With Steve Birgfeld  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, 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 

In this episode, we dive into the fascinating history and ongoing evolution of the T. Marzetti Company and its partnership with major top named brands enhanced by Rise with SAP. Host Jennifer Frank McGrory, SAP Go-To Market Lead and The T. Marzetti Company’s CIO Liam Durbin explore the company’s rich history of women in leadership, its diverse product offerings, and its innovative approach to partnerships and product development. Join us as we uncover how T. Marzetti has grown into a nearly $2 billion company while maintaining a unique blend of tradition and modernity.     Also in this episode:  Women in Leadership: Two of the company's largest brands, T. Marzetti and Sister Schubert’s, were founded by women, highlighting early female leadership in the business.  Product Range and Partnerships: T. Marzetti produces a wide range of products, including dressings, sauces, bread products, and even caviar.  Innovation and Collaboration: The company is involved in innovative partnerships, working closely with clients to develop new products and ideas through their innovation center.  CIO Role and Responsibilities: Liam Durbin's role as CIO involves overseeing systems, infrastructure, cybersecurity, and project management. He also leads the COE (Center of Excellence), which includes business-facing aspects of their ERP implementation.  ERP Implementation: The company transitioned from an old green screen system called PRISM to SAP as part of their modernization efforts. This ERP implementation was backed by strong executive support and was seen as necessary for future growth.  Organizational Change Management (OCM): The company invested heavily in OCM to ensure user adoption of the new system. This included extensive training, continuous improvement initiatives, and maintaining knowledge amidst high employee turnover.  Subscribe to The Let’s Talk Data Podcast  Apple Podcasts  Spotify  YouTube    Connect With Liam Durbin  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://events.sap.com/us/sapclouderpsimulation/en/home 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       

Join Matthew Zenus, Global Vice President – SAP HANA & Persistency, Product Management and Strategy, and Daniel Dukes, Senior Product Marketing Director, as they reminisce on SAP HANA and the bright future of SAP HANA Cloud. Enjoy a time of personal stories, candid advice, and forward thinking from these two veterans. For anyone considering SAP HANA Cloud or even a current customer, this conversation is a must hear as SAP HANA Cloud is enabling industry leading advancements that are shaping the future of applications.      Listeners of all application develop roles and expertise levels are encouraged to tune-in.     Connect with our speakers: Daniel Dukes – https://www.linkedin.com/in/danieldukes/  Matthew Zenus – https://www.linkedin.com/in/matthew-zenus-3594a81/    Don’t stop here – discover more:  SAP HANA Cloud - https://www.sap.com/canada/products/technology-platform/hana.html  SAP HANA Cloud Basic Trial – https://www.sap.com/canada-fr/products/technology-platform/hana/trial.html  SAP HANA Cloud Community – https://pages.community.sap.com/topics/hana/cloud    Key Topics: Early Adoption and Innovation: The podcast highlights the early days of SAP HANA, emphasizing the groundbreaking in-memory architecture and its significant impact on query acceleration. A notable example is a utility company in Amsterdam that leveraged SAP HANA to enhance geospatial queries, leading to the development of a high-performing, in-memory geospatial engine. Multi-Model Engine Journey: The integration of geospatial capabilities marked the beginning of SAP HANA's multi-model engine journey. This journey has evolved to include various engines like graph, JSON, document store, and vector engines, positioning multi-model functionality as a key differentiator for SAP HANA and SAP HANA Cloud in the market. Current Market Challenges: The podcast discusses the prevalent challenges customers face today, including complexity due to heterogeneous environments, data fragmentation, the explosion of diverse data sources, and the increasing importance of financial governance and price-performance optimization in cloud environments. Four Pillars of HANA Cloud Development: The development strategy for SAP HANA Cloud focuses on four key pillars: simplicity, financial governance and price performance, deployment flexibility, and automation and intelligence. These pillars are designed to make SAP HANA Cloud easier to adopt, administer, and scale while optimizing cost and performance. Generative AI Integration: The podcast highlights the integration of generative AI in SAP HANA Cloud, specifically through the native vector engine. This engine supports advanced AI use cases like similarity searches, semantic searches, and retrieval-augmented generation (RAG), which enhances large language model queries with relevant, organization-specific data. Upcoming Innovations: SAP HANA Cloud has an aggressive roadmap for the remainder of 2024 and 2025, including larger instance sizes, enhanced cost monitoring features, elastic compute nodes, multi-tenancy, SQL on files, and the introduction of a knowledge graph. These innovations are aimed at improving scalability, performance, and cost efficiency. Transition from On-Premise to Cloud: The podcast emphasizes the simplicity of migrating from on-premise SAP HANA to SAP HANA Cloud. SAP provides various tools and resources to assist customers in this transition, making it a natural and straightforward process to modernize and take advantage of SAP HANA Cloud's innovations.

A clean core helps customers keep up with the competition and use SAP S/4HANA standard features whenever possible and provides an easier way to keep getting updates without breaking business-specific functionality.  During this podcast, Sue Waite, Senior Director for North American Center of Excellence, Business Technology Platform solutions at SAP, and David Sentance, Associate Partner and Head of Data & Analytics at Camelot Management Consultants, will discuss how enterprise data management practices help ensure a clean core as well as mitigate risk to your business transformation initiatives.   Speakers:Sue Waite, Senior Director for North American Center of Excellence, Business Technology Platform solutions at SAPDavid Sentance, Associate Partner and Head of Data & Analytics at Camelot Management Consultants Host:  Corrie Birkeness Additional Resources: Building an Information Backbone for the Digital Enterprise: https://bit.ly/3wsYjVg Accelerate Your Move to the Cloud with Trusted Data: https://bit.ly/4bWD7Gj The Business Case for Clean Master Data: https://bit.ly/44LiZnR SAP solutions for Data & Analytics: https://bit.ly/3IDy9kS SAP solutions for Data Management: https://bit.ly/3UXbRBD The Data Tower Setup in SAP S/4HANA Initiatives (Camelot ITLab): https://bit.ly/3WBxokG Your Fast Forward S/4HANA Data Transformation (Camelot ITLab): https://bit.ly/4bjuPYO Data Quality Health Check (Camelot ITLab): https://bit.ly/44J9cig Data Analyzer (Camelot ITLab): https://bit.ly/3V2NnGb   Key Topics of Discussion: Importance of a Clean Core: Discuss the significance of establishing and maintaining a clean core in data management, especially in the context of transitioning from classic ERP systems to cloud-based solutions like S/4HANA. Emphasize the benefits of having a clean core, such as improved efficiency, accuracy, and adaptability. Dimensions of a Clean Core: Break down the five core dimensions of a clean core, including data cleanliness, composable approach, extensions, integration, and operational efficiency. Explain how each dimension contributes to the overall cleanliness and effectiveness of the core ERP system. First Steps in Moving to the Cloud: Explore the initial steps organizations should take when transitioning to the cloud, focusing on foundational work related to data management and governance. Highlight the importance of assessing existing data challenges and developing a strategy for data migration and quality improvement. Outcome-Driven Data Strategy: Stress the significance of adopting an outcome-driven data strategy before embarking on migration projects. Provide examples of business objectives, such as compliance, customer experience enhancement, or process optimization, and illustrate how these objectives inform the data strategy. Source Data Assessments and Data Quality Improvements: Discuss the importance of conducting source data assessments to identify gaps, inconsistencies, and data quality issues. Explain how these assessments serve as a foundation for data quality improvements and help organizations avoid pitfalls during migration and implementation. Techniques for Keeping Data Clean: Explore techniques and tools for maintaining data cleanliness, including accurate data capture, enrichment, and ongoing governance. Highlight solutions like SAP Master Data Governance (MDG) and data quality management micro-services for ensuring data integrity and accuracy. Change Management in Master Data Governance: Address the organizational change management aspect of implementing master data governance solutions. Discuss the need for training, stakeholder engagement, and establishing data governance councils and stewardship roles to ensure successful adoption and maintenance of clean data practices.

Guest host, Erik Lossbroek, is joined by Satya Jayadev, CIO of Skyworks,  who shares insights into Skyworks transformation journey and adoption of Rise with SAP. Satya discusses challenges, emphasizing organizational change management and governance. Satya explores the partnership between Skyworks, SAP, and Deloitte and envisions the post-go-live roadmap, focusing on efficiencies and innovation. Don't miss this episode for valuable insights into the intersection of technology and business in the semiconductor industry. Speakers: Satya Jayadev - Skyworks, Vice President and CIO Erik Lossbroek - Regional Vice President, SAP Key Topics of Discussion: Transformation Strategy: Discussing Skyworks' approach to transformation, including foundational aspects and the pursuit of innovation. SAP S/4HANA Cloud Adoption: Exploring why Skyworks chose SAP S/4HANA Cloud and its benefits in driving digital transformation. Organizational Change Management: Emphasizing the importance of managing change and involving stakeholders in the transformation journey. Governance and Collaboration: Outlining Skyworks' governance structure and the role of key partnerships, like SAP and Deloitte. Technology and Connectivity: Understanding how Skyworks uses technology to connect people and places across various markets. Post-Go-Live Roadmap: Discussing Skyworks' plans for driving efficiencies and continuous innovation after implementing SAP S/4HANA Cloud. Lessons Learned and Best Practices: Sharing insights and key takeaways from Skyworks' transformation journey, including the challenges faced and how they were overcome.  

SAP experts discuss best practices and practical approaches for migrating data and master data management with SAP S/4HANA and SAP Business Technology Platform. SAP experts discuss best practices and practical approaches for migrating data and master data management with SAP S/4HANA and SAP Business Technology Platform. Speakers: Randy Connelly - Global Data Governance Practice Lead, Syniti Bill Todd - Principal Solutions Advisor, SAP Terry Penner - Marketing and Solutions, SAP BTP Part 1: Data Migration Key challenges Best practices for system conversion Best practices for selective data transition Best practices for new implementations Data migration tool options  Part 2: Master Data Management Challenges and priorities Efficiently working with master data  Part 3: Clean Core Data management and clean core Getting started with data migration to S/4HANA Learn more at: SAP BTP for RISE with SAP RISE with SAP SAP S/4HANA Extensions and Clean Core Best Practices SAP Advanced Data Migration and Management Tool SAP Master Data Governance

Listen as SAP data experts, Gebhard Roos, Maria Villar, and Tina Rosario discuss the concepts that fall under the umbrella of “Data as a Product.” They will converse on the nuances and value of various approaches to data sharing, including democratization, monetization, and data marketplaces, with both inside and outside views.   Host: Corrie Birkeness Speakers: Gebhard Roos – Product Manager for SAP Datasphere Data Marketplace Maria Villar – Head of North America Data Strategy and Transformation Tina Rosario – Chief Data Officer, SAP Europe Important Links: SAP solutions for Data & Analytics: https://bit.ly/3IDy9kS Blog on SAP Datasphere Marketplace: https://bit.ly/4d39Fzq SAP Business Network: https://bit.ly/3JmF56p SAP Sustainability Data Exchange: https://bit.ly/3Q3GeU0   Key Topics of Discussion: Distinguishing Data Product vs. Data as a Product: Exploring the operational model and overarching principles that define these concepts. Characteristics of Data Products: Delving into the transparency, alignment with consumer needs, and governance constraints that distinguish data products. Role of Data Marketplaces: Understanding the significance of data marketplaces in facilitating internal and external data exchange, monetization, and collaboration. Models of Data Sharing: Exploring various models of data sharing, including public domain data, commercial data sharing, and indirect monetization, both internally and externally. Organizational Challenges: Addressing the organizational buy-in, education, and mindset shift required to prioritize consumer needs and navigate the complexities of data product implementation. Technical Challenges: Discussing the technical considerations and architectural models necessary for effective data product creation and management. Transparency and Trustworthiness: Highlighting the importance of transparency, trustworthiness, and consumer-centric design in building successful data products and marketplaces.        

SAP experts discuss SAP S/4HANA extensions best practices and SAP Build Code.   Topics discussed: Introduction to S/4HANA Extensions Best Practices What is Clean Core Extensibility Options and Best Practices for S/4HANA Cloud Private Edition customers Advantages and disadvantages of on-stack vs using BTP tools Extensibility changes for S/4HANA over the past few years.  Best practices for UI-focused applications and mobile services with SAP S/4HANA  SAP Build Code for SAP S/4HANA developers What is AI bringing to the table for S/4HANA implementers and developers Build Code scenarios for developers who are using Business Application Studio right now Build Code roadmap plans to help developers work more easily with S/4HANA How S/4HANA developers can improve governance Pragmatic recommendations for the type of extensions developers should create Speakers: Vanessa Micelli-Schmidt, Chief Product Manager, SAP Build Felix Wente, Chief Development Architect, SAP S/4HANA Mark Wright, Director, Marketing and Solutions, SAP Build Code Host: Terry Penner, Marketing and Solutions, SAP BTP Call to Action: Explore SAP Build Code at SAP.com/Build-Code Learn more about SAP BTP for S/4HANA and RISE at sap.com/btp-for-s4hana

Hear from SAP Gold partner, AG Consultancy and Apps, on their continued delivery of successful customer engagements and technical and commercial expertise in the enterprise application development and automation space. Discover the community RPA bots created by AG and how Enterprise Automation from SAP can elevate your existing app and automation investments. Speakers: Nick Champion - Co-Founder & Director, AG Consultancy and Apps Rahul Kumar - Technical Solution Lead, AG Consultancy and Apps John Luu - Product Marketing Manager, SAP Build Process Automation Additional Resources: Learn more about Enterprise Automation Check out AG's SAP Build implementation and support services Browse the partner-built community bots Topics Include: Overview of AG Consultancy & Apps Customer Trends and Challenges The Role of SAP Build Taking Automation to the Next Level Third-Party Connectivity Development of Automation Bots        

While companies know that managing their data is essential, it can also be tough – and technology is not necessarily the hardest part, it is the people and the process. Join, Maria Villar, Head of North America Data Strategy and Transformation at SAP, and Vinny Maurici, Vice President of Data Engineering at Object Edge as they discuss current challenges companies experience when developing a data strategy and an approach to developing one that is outcome-driven.   Host: Corrie Birkeness Speakers: Maria Villar – Head of North America Data Strategy and Transformation Vinny Maurici - Vice President of Data Engineering at Object Edge   Additional Resources: SAP Enterprise Data Strategy Master Class: https://bit.ly/4abjwB1 SAP Enterprise Data Strategy Workbook: https://bit.ly/4ausB8v SAP solutions for Data & Analytics: https://bit.ly/3IDy9kS   Discussion Highlights: Overview of Data Strategy Challenges Business Outcome Focus in Data Strategy Foundations of Master Data Management (MDM) and Data Governance Agile Data Governance and Leadership Executive Support and Organizational Capabilities The importance of aligning data strategy with business outcomes Modernizing MDM and data governance practices Securing executive support for effective data transformation

Hear from Andy Hayler, Practice Lead – Data as an Asset at Bloor Research, and Markus Kuppe, VP & Chief Product Owner for SAP Master Data Governance, and Corrie Birkeness, Senior Director Master Data Product & Solution Marketing at SAP, as they discuss various master data management (MDM) market trends.  They will discuss what is happening relative to automation, AI as well as approaches to more flexible, modular MDM deployments and a business data fabric. They will discuss what the trends are and why they are important in upping your game in MDM to drive increased business value. Speakers: Andy Hayler, Practice Leader - Data as an Asset at Bloor ResearchMarkus Kuppe, VP & Chief Product Owner for SAP Master Data GovernanceCorrie Birkeness, Senior Director Master Data Product & Solution Marketing at SAP Additional Resources: Learn more about SAP Master Data Governance and Bloor Research by visiting:SAP MDG Product Page: https://bit.ly/3E2r8Xb SAP MDG Community: https://community.sap.com/topics/master-data-governanceBloor Research:  https://bit.ly/3RyhZNP Bloor InBrief on SAP Master Data Governance: https://bit.ly/3Rx3iun Bloor Article on SAP Master Data Governance:  https://bit.ly/3GS9kAT Benefits of Federated Master Data Governance (SAP blog):  https://bit.ly/47opgWB Key Points: Master Data Management Market Update: Bloor Research published an MDM market update, emphasizing the merging of MDM and data management platforms with trends in data governance, quality, and integration. The shift from on-premise to cloud or hybrid environments requires MDM platforms to be deployable in the cloud. Automation and AI in MDM: Automation in MDM brings efficiency and quality, leveraging technology and AI. SAP MDG applies AI, machine learning, and rules-based approaches to enhance data quality, identify implicit data rules, and automate data population. Federation of Master Data Governance: Federated MDM model allows distributed management of data, aligning with organizational structures, and ensuring local understanding. SAP MDG supports federation through multiple instances, enabling both local and global benefits in master data management. Role of MDM in Data Fabric and Data Mesh: MDM plays a crucial role in complementing concepts like data fabric and data mesh. Data fabric focuses on connecting enterprise data without physically moving it, with MDM providing a foundation for high-quality trusted master data. Data mesh, a domain-specific approach, aligns well with MDM, especially when dealing with key data domains. Conclusion: Intelligence, modularization, modernization, and data fabric are key trends in MDM. Encourages listeners to access additional resources and share their insights on MDM trends in their organizations.

Organizations are on a quest to a modern technology stack. This includes integration, which is the glue that brings it all together. Yet, selling the value of integration can get technical too quickly and hard to articulate. Understanding the business and technical benefits of integration and how they translate into business value is key to building the case for investment in this technology and in a broader digital platform.In this episode, Shari Lava, Research Director at IDC, discusses with Emily Mui, Sr. Director, Solution Marketing at SAP, the IT and business value of integration, and how you can tie it to business objectives and measure the business impact of integration. Speakers:  Shari Lava - Research Director, IDC Emily Mui - Sr. Director, Product Marketing Lead For SAP Integration Suite CTA's: Modernize Your Integration Landscape Virtual Summit https://bit.ly/3S8UUmM The Integration Scoop Podcast Introduction: Special edition presented by SAP and Let's Talk Data podcast. Focus on game-changing technology and strategies for innovation through business application and process integration. Guest Speaker: Sheri Lava from IDC: Sheri leads marketing strategy for SAP's iPASS solution (SAP Integration Suite). Sheri is the Research Director of Automation at IDC, covering AI, automation, API management, and integration markets. Integration Market Overview: Integration market reached $8.5 billion in 2022, expected to reach $18 billion by 2027. Shift from on-premise to cloud-delivered solutions. Importance of integration in becoming a digital business with connected, data-driven systems. Why Integration Delivers Strategic Business Value: Connectivity is the bedrock for building a strong foundation for digital businesses. Importance of having data driving decisions for better customer solutions, service offerings, and decision-making. Integration crucial for process automation and resilience. Challenges and Growth: Integration market growth driven by the need for data connectivity in digital businesses. Transition from on-premise to cloud solutions. Overcoming challenges in translating technical benefits into business value. Business Challenges in Implementing Integration: Change management for developers adapting to new ways of working. Historical concerns about product suitability. Importance of defining success uniformly across the organization. Business Outcomes and Objectives: Translation of technical benefits to business value. Examples include lower operating costs leading to greater efficiency, improved customer satisfaction, and increased revenue. Focus on efficiency, reducing integration sprawl, and achieving a 360-degree view of the customer. Low-Code and Measurement of Success: Evolution of low-code tools and their impact on traditional metrics. Emphasis on business outcomes and value instead of lines of code written. Generative AI enhancing low-code tools and improving efficiency. Integration for Automation: Integration as a key player in holistic automation strategies. Addressing challenges of integrating processes with business partners. Ensuring the integration stack is strong and ready for future automation initiatives. Trends in Integration: Significance of AI in integration solutions, enhancing capabilities like error detection and prediction. Importance of a bi-directional relationship between AI and integration. Caution against investing in AI without addressing integration challenges first.