Let’s Talk Data: Data Professional Podcast | SAP

Епизоде

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  Sustainability Analytics Unlocked: From out in the Field to into the Data 28.07.2026 33мин

  In this episode of SAP Let's Talk Data Podcast, host Corrie Birkenes is joined by Ridwan Bhuiyan, Vice President of Digital Products at Chubb, and Tina Rosario, Chief Data Officer at SAP, for an insightful conversation on how data is transforming sustainability, resilience, and business decision-making.   Ridwan shares his unique journey from environmental science to leading digital transformation initiatives, explaining how data quality, governance, and collaboration became the foundation for solving complex business challenges. Together, he and Tina explore why successful sustainability programs depend on trusted, high-quality data rather than technology alone. They discuss breaking down organizational silos, treating data as a strategic product, and creating modern data foundations that empower better decisions across the enterprise.  The conversation also highlights the growing importance of geospatial analytics, external data integration, and cross-functional collaboration to measure environmental impact and climate resilience. Finally, they examine the opportunities - and responsibilities - that come with AI, emphasizing the need to balance innovation with sustainable resource consumption and long-term thinking.  Whether you're a data leader, sustainability professional, or executive looking to build a more resilient organization, this episode offers practical insights into using data to drive meaningful business outcomes while preparing for the challenges of tomorrow.    Key Topics of Discussion:    Why sustainability data strategy doesn’t start with technology — it starts with evangelism and business buy-in How sustainability teams inherit downstream data quality challenges from procurement, operations, and energy systems The power of modern data platforms and data products to break sustainability out of the "ivory tower" report Geospatial analytics as a storytelling tool for climate resilience and vulnerability assessment What makes a great data and analytics leader — communication, consultative thinking, and comfort with iterative failure A thought-provoking closing debate on AI, data centers, and resource competition — and whether we’re consuming at a rate future generations can sustain     Subscribe to The Let’s Talk Data Podcast  Apple Podcasts  Spotify  YouTube    Connect Ridwan Bhuiyan  Linkedin    Connect With Tina Rosario  LinkedIn    Connect With Corrie Birkeness  LinkedIn      Additional Resources:  From Silos to Strategy: What 20 Years of SAP Data Management Taught One Practitioner: https://community.sap.com/t5/data-professionals/gh-p/data-professionals   To learn more about SAP Data and AI solutions, please check out SAP Business Data Cloud at https://www.sap.com/products/data-cloud.html   And to engage further, please join our Data Professionals Community on https://community.sap.com/t5/data-professionals/gh-p/data-professionals   Managing Sustainability Data Proactively: Corporate Sustainability Reporting (Directive) as a Driver: https://onlinelibrary.wiley.com/doi/10.1111/isj.70043   From Silos to Strategy: What 20 Years of SAP Data Management Taught One Practitioner: https://community.sap.com/t5/data-professionals/gh-p/data-professionals   To learn more about SAP Data and AI solutions, please check out SAP Business Data Cloud at https://www.sap.com/products/data-cloud.html   Chubb Resilience and Risk Consulting: https://www.chubb.com/us-en/business-insurance/services/resilience-services.html   Ridwan's LinkedIn profile:  www.linkedin.com/in/ridwan-bhuiyan   And to engage further, please join our Data Professionals Community:  https://community.sap.com/t5/data-professionals/gh-p/data-professionals 
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  Data Strategy, Governance, & AI: The Blueprint for Becoming a Data-Driven Organization 09.07.2026 28мин

  What does it really take to become a data-driven organization? In this episode of Let's Talk Data, host Corrie Birkeness is joined by data strategy expert Shelly McQuigg and SAP Product Marketing Director Kara Reed for a practical discussion on building a successful data strategy that delivers measurable business value. Together, they explore why effective data strategies must begin with business outcomes—not technology—and how trusted, governed data is the foundation for analytics and AI success.   Shelly and Kara share lessons from decades of experience leading enterprise data initiatives, including standardizing global KPIs, establishing executive sponsorship, and creating governance models that balance control with business agility. They explain why data professionals need both technical expertise and business knowledge to influence organizational change and drive adoption.   The conversation also examines how modern data architectures, including data fabric, enable organizations to create a single definition of the truth without physically centralizing data. Finally, the discussion turns to AI, highlighting why data quality, governance, and trusted information have become more critical than ever before. Whether you're a data leader, architect, analyst, or executive, this episode provides actionable guidance for creating a scalable data strategy that supports business growth, operational efficiency, and trusted AI initiatives.    Key Topics of Discussion:  Building a business-first data strategy focused on corporate KPIs, measurable outcomes, and business value.   The importance of data governance in creating trusted, standardized, and high-quality enterprise data.   The evolving role of data professionals as business partners, strategists, and organizational influencers.   Modern data architecture and data fabric, enabling a single definition of the truth across distributed systems.   Preparing data for AI, emphasizing why governance, quality, and trusted data are essential for successful AI adoption.    Subscribe to The Let’s Talk Data Podcast  Apple Podcasts  Spotify  YouTube    Connect With Shelly McQuigg  LinkedIn  Connect With Kara Reed  LinkedIn  Connect With Corrie Birkeness  Linkedin    Additional Resources: To learn more about SAP Data and AI solutions, please check out SAP Business Data Cloud at https://www.sap.com/products/data-cloud.html To engage further, please join our Data Professionals Community on https://community.sap.com/t5/data-professionals/gh-p/data-professionals  
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  Securing the Gold: AI Threats, Data Visibility, and Cybersecurity Best Practices 08.06.2026 40мин

  In this episode of Let’s Talk Data, host Daniel Dukes of SAP America is joined by Lisa Horwich, founder of Pallas Research and a leading B2B tech qualitative researcher who interviews CISOs, data architects, and security professionals to surface actionable insights for technology companies.  Lisa and Daniel explore how AI is fundamentally reshaping the cybersecurity landscape- from AI-powered phishing and expanded attack surfaces to risks like prompt injection, jailbreaking, and data poisoning. They also tackle the persistent challenge of shadow data and data sprawl, where sensitive information lives outside sanctioned IT infrastructure, making it nearly impossible to classify and protect.  The conversation covers the spectrum of security tools available to organizations, from point solutions to holistic Data Security Posture Management (DSPM) platforms, and closes with key best practices: zero trust, least privileged access, multi-factor authentication, and using AI defensively to combat the very threats it enables.    Subscribe to The Let’s Talk Data Podcast  Apple Podcasts  Spotify  YouTube    Connect Lisa Horwich  Linkedin    Connect With Daniel Dukes  LinkedIn    Additional Resources:  To find out more about Lisa and security research, visit Pallas Research  To connect with others on the topic, check out the Data Professionals community SAP Trust Center: Data Protection & Privacy: SAP’s dedicated trust center resource covering data protection policies, privacy safeguards, and the security protocols SAP employs across its cloud ecosystem — directly relevant to the episode’s discussion of data visibility, shadow data, and keeping sensitive organizational data secure.
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  IBM’s Cloud ERP Transformation: Driving Business Value Through HCM, AI, and Enterprise Modernization 05.06.2026 38мин

  In this special episode of Let's Talk Cloud ERP, host Jennifer Frank McGrory welcomes IBM Consulting leaders Bill Pietrowski, Devraj Bardhan, and Jim Griffin to the podcast to discuss the latest developments in IBM's enterprise-wide cloud ERP transformation and the business value achieved since their last conversation.    The team shares how IBM has generated more than $4.5 billion in savings through a transformation strategy centered on process simplification, operational efficiency, and SAP modernization. Listeners will hear how IBM continues to advance its clean-core approach across finance, procurement, supply chain, and other critical business functions while creating a more agile and connected enterprise.  A significant portion of the discussion focuses on Human Capital Management and the role of SAP SuccessFactors within IBM's broader business transformation. The guests explore how integrating HR with SAP S/4HANA has improved workforce planning, governance, employee experiences, and manager self-service while reducing HR operating costs and accelerating response times across the organization.  The conversation also highlights IBM's AI-first strategy and how intelligent automation is being applied across HR, procurement, finance, and employee services. With more than 155 AI use cases deployed, IBM shares lessons learned around prioritization, change management, governance, and scaling AI responsibly to drive measurable business outcomes.  Whether you're leading a cloud ERP initiative, modernizing HR operations, or evaluating enterprise AI strategies, this episode provides valuable insights from one of the world's largest transformation programs.    Key Topics of Discussion:  IBM's Cloud ERP Transformation Journey How IBM has generated more than $4.5 billion in value through process simplification, SAP modernization, clean-core principles, and enterprise-wide operational transformation.   The Strategic Role of SAP SuccessFactors in Business Transformation Why IBM views Human Capital Management as a critical component of its ERP strategy and how integrating SAP SuccessFactors with SAP S/4HANA improves workforce planning, governance, and employee experiences.   The "Eliminate, Simplify, Automate" Framework The framework IBM uses to evaluate business processes, reduce complexity, eliminate non-value-added activities, and prepare operations for automation and AI.   Scaling AI Across the Enterprise Lessons from deploying more than 155 AI use cases across HR, procurement, finance, and supply chain, including how IBM prioritizes opportunities and measures business impact.   Governance, Change Management, and the Future of Work How IBM balances innovation with governance, security, and data privacy while helping employees and managers adapt to new AI-powered workflows and digital ways of working.    Subscribe to The Let’s Talk Data Podcast  Apple Podcasts  Spotify  YouTube    Connect With Bill Piotrowski  Linkedin  Connect With Devraj Bardhan  Linkedin  Connect With Jim Griffin  Linkedin  Connect With Jennifer Frank McGrory  LinkedIn    Don’t stop here – discover more:  Experience SAP Like Never Before: Cloud ERP Simulation Challenge:  https://events.sap.com/noam-cloud-erp-sim-vew/en_us/home.html 
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  SAP Analytics Cloud and IBCS: Best Practices for Executive Dashboards and Business Reporting 21.05.2026 36мин

  In this episode of the Let’s Talk Data Podcast presented by SAP, host Thierry Audas sits down with Jürgen Faisst and Kristian Rümmelin to explore how the International Business Communication Standards (IBCS) is transforming business reporting, dashboard design, and enterprise analytics.  The discussion highlights why inconsistent dashboards and reporting standards create confusion, slow decision-making, and reduce trust in analytics — especially in the age of AI and generative AI. The guests explain how IBCS establishes a common visual language for business reporting by standardizing charts, tables, colors, variances, and data storytelling conventions.  Listeners will learn how organizations can improve report comprehension, reduce interpretation errors, and accelerate executive decision-making using standardized analytics practices in SAP Analytics Cloud and SAP Business Data Cloud. The episode also explores the newly approved ISO 24896 notation standard for business reporting and what it means for the future of AI-driven analytics.  Practical guidance includes how to launch an IBCS initiative, build executive-ready dashboards, create reporting governance, and scale visualization standards across finance, supply chain, sales, and HR teams.  5 Key Topics of Discussion  What Is IBCS and Why It Matters Understanding how standardized business reporting improves dashboard clarity, analytics consistency, and faster decision-making.   The Role of AI in Business Reporting Why AI-generated analytics requires strong visualization standards and semantic consistency to avoid “scaling confusion.”   SAP Analytics Cloud and IBCS Integration How SAP customers can operationalize IBCS standards using reusable templates, themes, dashboards, and reporting governance.   ISO 24896 and the Future of Reporting Standards The impact of the new international standard for business reporting notation and its importance for enterprise analytics.   Best Practices for Dashboard Design and Data Visualization Actionable strategies for CFO dashboards, KPI reporting, variance analysis, semantic consistency, and executive communication.    Subscribe to The Let’s Talk Data Podcast  Apple Podcasts  Spotify  YouTube    Connect With Jürgen Faisst    Connect With Kristian Rümmelin    Connect With Thierry Audas    Additional Resources:  www.ibcs.com www.ibcs.com/software/sap-analytics-cloud/ 
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  How SAP Business Data Cloud is Transforming Data Science w/ Databricks and AI 07.05.2026 30мин

  In this episode of Let’s Talk Data, host Jose Chicas sits down with Leona Hasani, Product Manager for SAP Business Data Cloud and former data scientist, to explore how modern data platforms are transforming the data science workflow. The conversation dives into the real-world challenges data scientists face—from fragmented data access and lack of business context to time-consuming data preparation and trust issues with datasets.  Leona outlines the end-to-end data science lifecycle, emphasizing that up to 70% of a data scientist’s time is spent on data cleaning and preparation rather than modeling. She explains how SAP Business Data Cloud (BDC), combined with SAP Databricks, streamlines this process by providing ready-to-use, governed data products enriched with business context, definitions, and hierarchies.  A key highlight is the concept of zero-copy data sharing, enabling real-time access to unified SAP and non-SAP data without duplication. This reduces latency, lowers costs, and ensures data consistency across teams. The discussion also explores how integrated tools like MLflow enhance model tracking, governance, and auditability—critical for enterprise and regulated environments.  Through a practical use case—predicting purchase order delays—Leona demonstrates how BDC accelerates time-to-value by eliminating manual data extraction and enabling seamless model deployment back into business systems.  Whether you’re a data scientist, engineer, or analytics leader, this episode offers valuable insights into building scalable, efficient, and business-aligned data workflows in today’s AI-driven landscape.    Key Topics of Discussion:   SAP Business Data Cloud for Data Scientists Explores how SAP Business Data Cloud (BDC) empowers data scientists with governed, ready-to-use data products that include business context, improving efficiency and accelerating insights.   Data Science Workflow Optimization & Automation Covers how modern tools reduce manual tasks like data access, cleaning, and preparation—allowing data scientists to focus more on modeling, analysis, and delivering business value.   SAP Databricks Integration & Machine Learning at Scale Highlights the native integration of SAP Databricks within BDC, enabling scalable machine learning, AI workflows, and seamless access to enterprise SAP and non-SAP data.   Zero-Copy Data Sharing in Enterprise Data Architecture Explains how zero-copy data sharing allows real-time access to data across systems without duplication, reducing costs, improving performance, and ensuring consistency.   Data Governance, Data Trust, and Business Context in Analytics Focuses on the importance of trusted, well-defined data with embedded business semantics, enabling accurate analysis, better decision-making, and compliance in enterprise environments.     Subscribe to The Let’s Talk Data Podcast  Apple Podcasts  Spotify  YouTube    Connect With Leona Hasani  Linkedin    Connect With Jose Chicas  LinkedIn    Additional Resources:  To learn more about SAP Data and Analytics solutions, please check out SAP Business Data Cloud athttps://www.sap.com/products/data-cloud.html • And to engage further, please join our Data Professionals Community on https://community.sap.com/t5/data-professionals/gh-p/data-professionals • To see what's new and upcoming with all SAP solutions, please look at our roadmap explorer on https://pages.community.sap.com/topics/road-map-explorer   
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  A Day in the Life of a Data Steward — Behind the Scenes of Trusted Data 09.04.2026 26мин

  What does a day in the life of a data steward really look like? This podcast pulls back the curtain on the people who keep enterprise data trustworthy, usable, and compliant. We will discuss how these data steward navigate through the rhythms of their day—triaging data incidents, curating metadata, negotiating business definitions, enforcing access controls, and coordinating fixes across engineering, analytics, and business teams. We explore both process realities and the best practices in place to ensure trust.   Listeners will hear examples of the types of data sources stewards wrestle with and learn how stewards set and enforce quality rules, measure trust, and assign clear ownership to ensure accountability. From root-cause investigations and remediation workflows to balancing speed with governance, the podcast surfaces recurring pain points and pragmatic solutions, with real-world stories, lessons learned, and actionable tips for improving processes, tooling, and cross-team collaboration.      Key Topics of Discussion:  The evolving role of data stewards How data stewards act as “data guardians,” ensuring data is accurate, consistent, and usable across the business, and how the role is becoming more strategic over time.   Cross-functional collaboration and breaking silos The importance of working across finance, IT, and other business units to treat data as a shared enterprise asset rather than something owned by one team.   Data governance, prioritization, and business value How teams decide which data issues or projects to tackle first based on impact, business value, and dependencies across processes.   Challenges: stakeholder management, education, and pushback The need to educate others about data, handle difficult conversations, and push back on requests that could harm data quality or long-term outcomes.   Technology and tooling enabling data stewardship The role of tools like data catalogs, lineage tracking, master data governance (MDG), and unified data platforms in supporting transparency, quality, and scalability.    Subscribe to The Let’s Talk Data Podcast  Apple Podcasts  Spotify  YouTube    Connect With Corrie Birkeness  Linkedin    Connect With Ralitsa Dakova  LinkedIn    Connect With Grigor Kartev  LinkedIn    Connect With Tina Rosario  LinkedIn      Additional Resources:  To learn more about SAP Data and Analytics solutions, please check out SAP Business Data Cloud at https://www.sap.com/products/data-cloud.html  And to engage further, please join our Data Professionals Community on https://community.sap.com/t5/data-professionals/gh-p/data-professionals 
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  Driving Business Value Through ERP Modernization: A Real Manufacturing Transformation Story 03.03.2026 21мин

  This episode of Let’s Talk Cloud ERP features Jennifer Frank McGrory in conversation with Lindsay Callaghan, Director of Business Systems at Rytec Corporation, a North American leader in high-speed, high-performance doors. The discussion explores how Rytec's ERP transformation journey has evolved within a long-standing SAP environment and how new business realities are shaping its future.  Rytec has operated in a stable SAP system for over a decade, supported by a lean team and strengthened by a recent smart factory manufacturing transformation. As the company began planning its move toward SAP S/4HANA, it was acquired by Nucor in 2024—an event that increased the urgency for process visibility and strategic alignment.  A major turning point was the use of SAP Signavio. Within 24 hours, Lindsay’s team gained clear, data-driven insight into real business processes, data gaps, and system flows. This shifted conversations away from opinion-based workshops and toward visual, fact-based discussions. As a result, meetings became more focused, resistance rooted in past ERP project fatigue decreased, and the organization could better determine which legacy processes should be improved or retired.  Looking ahead, 2026 is set to be a pivotal year, with Rytec evaluating RISE with SAP and preparing for S/4HANA—emphasizing continuous improvement, strong partnerships, and process intelligence as keys to long-term success.      Key Topics of Discussion:  Fact-based transformation beats assumptions – Real process data from SAP Signavio replaced guesswork and opinion-driven workshops.  A stable ERP foundation enables smarter modernization – Rytec’s long-running SAP system allowed for strategic planning toward S/4HANA rather than reactive change.  Process visibility reduces resistance to change – Visual insights help business users understand impacts, shortening meetings and easing “ERP fatigue.”  Transformation is a chance to eliminate legacy baggage – Data helps identify which processes add value and which are just being carried forward out of habit.  Strong partners plus modern tools accelerate success – Combining SAP best practices, experienced partners, and process intelligence supports better decisions and continuous improvement.    Subscribe to The Let’s Talk Data Podcast  Apple Podcasts  Spotify  YouTube    Connect With Lindsay Callaghan  Linkedin    Connect With Jennifer Frank McGrory  LinkedIn    Don’t stop here – discover more:  Experience SAP Like Never Before: Cloud ERP Simulation Challenge:  https://events.sap.com/noam-cloud-erp-sim-vew/en_us/home.html 
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  Bridging Research and Reality for Developers Using SAP HANA Cloud 25.11.2025 28мин

  In this episode of the SAP Let’s Talk Data podcast, SAP’s Lauren Wong sits down with Robin Bloor and Daniel Howard from Bloor Research to discuss findings from their recent study on SAP HANA Cloud and its role as a modern, in-memory cloud database for developers.    Drawing from interviews with SAP customers across industries, the conversation uncovers real-world insights into how organizations are using SAP HANA Cloud to modernize applications, scale efficiently, and bring intelligence closer to their data. Robin and Daniel share developer perspectives on the platform’s most valued capabilities and discuss how these features are shaping productivity and performance outcomes for teams of all sizes.    Together, they explore key trends revealed through the study, highlight the measurable benefits developers are achieving, and share their broader perspective on SAP HANA Cloud’s versatility as a foundation for building intelligent applications that adapt, learn, and innovate in real time.    Key Topics of Discussion:  About Bloor Research – An introduction to Bloor as a long-standing technology analyst firm, with Robin Bloor and Daniel Howard sharing their background in data, analytics, and database research.  Inside the SAP HANA Cloud Study – A breakdown of the study’s goals, methodology, and findings, based on interviews with customers across automotive, financial services, and green energy sectors.  Customer Use Cases and Outcomes – How organizations are adopting SAP HANA Cloud to support high-performance analytics, scalability, and modernization, including a financial services example using it for workload forecasting and optimization.  Key Capabilities of SAP HANA Cloud – A look at the platform’s standout performance, multi-model support, reduced need for tuning, and the ability for small teams to manage large-scale environments efficiently.  AI Readiness and Future Innovation – Insights into how customers are approaching AI, the role of vector and RAG capabilities, and how SAP HANA Cloud is positioned to support the next generation of intelligent data-driven applications.    Subscribe to The Let’s Talk Data Podcast  Apple Podcasts  Spotify  YouTube    Connect With Robin Bloor  Linkedin    Connect With Daniel Howard  LinkedIn    Connect With Lauren Wong  LinkedIn    Don’t stop here – discover more:  Read the InBrief report from Bloor Research for their perspective on SAP HANA Cloud for SAP and non-SAP customers https://bit.ly/4odk28k  Learn more about Bloor Research: https://bit.ly/3LQGozb  Join the SAP Community and get involved with other developers: https://bit.ly/4abD2Rc  Learn more about SAP HANA Cloud: https://bit.ly/4oTy3Jv\ 
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  The Top Ten Reasons Why Organizations are Turning to SAP HANA Cloud – AI Generated Podcast 16.09.2025 14мин

  Don’t have time to read The Top Reason Why Organization Choose SAP HANA Cloud? Well you’re in luck! Step into the future of business innovation with SAP HANA Cloud! In this AI generated episode of The Let’s Talk Data Podcast, we unveil how SAP’s in-memory cloud database is revolutionizing the way organizations harness their data. This isn’t just another database—it’s a game-changing platform that unifies structured and unstructured data, powers AI workloads, and delivers real-time insights, all while slashing complexity and simplifying infrastructure.  You’ll hear the 10 powerful reasons why leading businesses are making the switch: from multi-model capabilities that eliminate juggling multiple databases, to true multi-cloud freedom across AWS, Azure, Google Cloud, and beyond. Discover how intelligent data tiering saves costs without sacrificing performance, and how built-in engines for vectors, graphs, and spatial data supercharge the development of smarter applications.  But that’s not all—SAP HANA Cloud also delivers native AI capabilities, elastic scalability, seamless data integration, enterprise-grade security, and even AI-powered automation that transforms database administration into a strategic advantage. And for developers? The SAP Build ecosystem brings no-code, low-code, and pro-code development together, accelerating innovation at every level.  Don’t miss this episode! Find out how SAP HANA Cloud can help your business move faster, modernize infrastructure, and unlock the full power of your data today.    Key Topics of Discussion:  Multi-Model Data Management – Unifying relational, JSON, spatial, graph, and vector data in one platform for faster insights and simplified applications.  Cloud Flexibility & Scalability – Multi-cloud deployment across AWS, Azure, Google Cloud, and more, with elastic scaling to handle unpredictable workloads.  Cost-Optimized Storage – Intelligent data tiering that balances hot, warm, and cold storage while keeping access seamless for users.  AI at the Core – Native vector support, semantic search, and retrieval-augmented generation to power smarter business applications.  Developer & DBA Empowerment – SAP Build’s no-code to pro-code ecosystem plus AI-powered DBA tools that reduce manual work and accelerate innovation.    Subscribe to The Let’s Talk Data Podcast  Apple Podcasts  Spotify  YouTube    Additional Resources:  Read the brochure, Top 10 reasons organizations chose SAP HANA Cloud: http://bit.ly/4pqNOs4  What’s the potential value of SAP HANA Cloud for your organization? Complete this short assessment: http://bit.ly/46oekJO  Learn more about SAP HANA Cloud: www.sap.com/hana 
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  Driving Innovation in Modern Enterprises with SAP Business Suite in the AI-Era 03.06.2025 30мин

  In this insightful episode of the SAP Cloud ERP podcast, host Jennifer Frank McGrory, SAP Go-To Market Lead sits down with David Robinson, President and Chief Revenue Officer of SAP Cloud ERP. They discuss how SAP is helping businesses unlock growth and innovation through the SAP Business Suite. With 25+ years of ERP experience, David shares his perspective on SAP’s evolution from on-premise systems to a future-ready, AI-powered cloud platform.  Jennifer and David dive into how SAP’s “AI-first” and “suite-first” strategy is delivering real value for customers—enabling faster decision-making, operational resilience, and scalable transformation. They explore the critical role of simplification and standardization in driving agility and reducing technical debt, while also addressing the top challenges companies face on their cloud journey.  Packed with real-world insights, this conversation highlights how customers are accelerating innovation by shifting resources from maintenance to strategy. Whether you’re a CIO, IT leader, or business executive navigating digital transformation, this episode offers actionable takeaways for thriving in today’s fast-changing enterprise landscape.    Key Topics of Discussion:  SAP Cloud ERP Strategy - How SAP is simplifying the ERP journey with a cloud-first approach that supports agility and long-term innovation.  Customer Challenges and Opportunities – David Robinson shares insights into the common challenges companies face when moving to the cloud and how SAP helps turn them into transformation wins.  The Role of Artificial Intelligence in ERP – A look at how embedded AI within SAP Cloud ERP enables predictive analytics, process automation, and better decision-making.  Industry and Line-of-Business Innovation – Discussion on how SAP Cloud ERP tailors its solutions for specific industries and business functions to deliver targeted value.  Business Transformation with SAP Cloud ERP – Real-world examples and success stories that highlight how organizations are leveraging SAP Cloud ERP to drive digital transformation and competitiveness.    Subscribe to The Let’s Talk Data Podcast  Apple Podcasts  Spotify  YouTube    Connect With David Robinson  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   
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  The Future of Enterprise AI starts with Knowledge Graphs – Powered by SAP HANA Cloud 15.05.2025 34мин

  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 
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  The Evolution and Impact of AI in eSports: How SAP BTP Keeps Team Liquid One Step Ahead 17.04.2025 43мин

  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 
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  Inside IBM’s Hybrid Cloud & AI Powered Evolution The SAP S4/HANA Journey Part 2 15.04.2025 24мин

  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 
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  Inside IBM’s Hybrid Cloud & AI Powered Evolution: The SAP S4/HANA Journey 27.03.2025 24мин

  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 
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  From Tradition to Technology: How Blue Diamond is Shaping the Future of Almond Farming 26.12.2024 26мин

  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 
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  The Value of Automation in Master Data Management (MDM) 18.12.2024 17мин

  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 
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  Efficiency, Scalability, and Agility: The Power of Cloud ERP in Modern Manufacturing 03.12.2024 31мин

  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 
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  The Evolving Role of MDM in Modern Data Management 12.11.2024 8мин

  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
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  How SAP Business AI and Large Language Models are shaping the future of SAP S/4HANA and SAP BTP 12.11.2024 17мин

  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