Let’s Talk Data: Business Technology Podcast | SAP

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 

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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

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\

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

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

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