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Let’s Talk Data: Business Technology Podcast | SAP

Let’s Talk Data: Business Technology Podcast | SAP

Let’s Talk Data

Exploring SAP’s business technology platform and success with our revolutionary data tech. Discover key solutions and technologies that power SAP’s Business Technology Platform by listening in on conversations with partners, developers, and innovators across the SAP ecosystem. Get real-world stories and stats on topics like data governance, data integration and orchestration, machine learning, all things database, enterprise architecture, and more.

104 - Is it Data Product or Data as a Product?
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  • 104 - Is it Data Product or Data as a Product?

    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.

    Wed, 17 Apr 2024 - 31min
  • 103 - SAP S/4HANA Cloud Extensions with SAP Build Best Practices: An Expert Roundtable

    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

    Tue, 02 Apr 2024 - 32min
  • 102 - Enterprise Automation: SAP and Third-Party Integration and Connectivity | feat. AG Consultancy

    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

    Wed, 20 Mar 2024 - 22min
  • 101 - Thriving with A Business Outcome-Driven Data Strategy

    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

    Thu, 14 Mar 2024 - 35min
  • 100 - 2023 Trends in Master Data Management

    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.

    Wed, 20 Dec 2023 - 22min
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