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.

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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

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.

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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

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Connect With Robin Bloor

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Connect With Daniel Howard

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Connect With Lauren Wong

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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\