『Let’s Talk Data: Data Professional Podcast | SAP』のカバーアート

Let’s Talk Data: Data Professional Podcast | SAP

Let’s Talk Data: Data Professional Podcast | SAP

著者： Let’s Talk Data
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Actionable guidance for and from professionals who make data work — delivering hard-earned technical lessons from engineers, scientists, architects, and analysts who design, operate, and scale real-world data, analytics, and AI systems. Expect deep, operational conversations on data strategy, platform architecture, modeling, engineering, governance, analytics, and AI you can apply to your own stack.

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  • The Data Foundation Behind SAP’s AI Strategy

    The Data Foundation Behind SAP’s AI Strategy
    2026/09/21

    What happens when a company with 100,000 employees needs to turn massive amounts of data into something everyone can actually use?

    In this episode of Let’s Talk Data, Bradley Vaslik sits down with Oliver Huth, Head of Platform and Engineering at SAP, to unpack SAP’s journey from a centralized data warehouse and thousands of dashboards to a scalable data product economy.

    Oliver shares the real-world challenges behind SAP’s transformation—including data silos, changing business demands, governance, and the struggle to give employees faster access to trusted data.

    The conversation explores how SAP Business Data Cloud, SAP Datasphere, and Databricks are helping SAP build a more flexible and reusable data foundation—and why data products are becoming increasingly important as AI changes the way businesses work.

    But there’s a bigger story: AI is only as powerful as the data behind it.

    Oliver explains why trusted enterprise data is becoming the critical foundation for analytics, applications, AI, and intelligent agents—and why measuring data product adoption and reuse may be one of the most important metrics for modern data teams.

    A practical conversation about data strategy, governance, AI, and what it takes to make enterprise data truly work at scale.

    5 Key Topics of Discussion:

    • The Evolution from Data Warehouses to Data Products SAP’s shift from a centralized data warehouse and dashboard model to a scalable, self-service data product approach.
    • Building Trust and Governance in Data How data ownership, quality, governance, lineage, and adoption help organizations create trusted data that can be reused across teams.
    • How SAP Defines and Manages Data Products The role of data product owners, domains, output ports, primary and derived data products, and the processes used to build and consume them.
    • Business Data Cloud and the Modern Data Architecture How SAP Business Data Cloud, Datasphere, Databricks, and existing BW investments work together to support SAP’s data product strategy.
    • Data Products as the Foundation for AI Why trusted, governed enterprise data is becoming increasingly important for analytics, applications, AI, and agent-based use cases—and why adoption and reuse are critical measures of success.

    Subscribe to The Let’s Talk Data Podcast

    Apple Podcasts

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    YouTube

    Connect Oliver Huth

    Linkedin

    Connect With Bradley Vasilik

    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

    • 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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    39 分
  • SAP BW Modernization: Migrating to SAP Business Data Cloud

    SAP BW Modernization: Migrating to SAP Business Data Cloud
    2026/08/18

    In this episode of Let’s Talk Data, host Venkata Giduthuri sits down with Justin Lynch, SAP Data Architect Program - Americas Regional Lead, to discuss the modernization journey with SAP Business Data Cloud for on-premises SAP BW, SAP BPC, SAP BusinessObjects, and SAP HANA systems to embark on the Autonomous Enterprise journey. The conversation specifically focuses on what it takes to modernize SAP BW with SAP Business Data Cloud.

    Justin outlines the importance of the modernization journey and how it differs from migration. The discussion highlights options for modernizing SAP BW to take advantage of the latest AI innovations in SAP Business Data Cloud.

    The key highlight is the process of readiness assessment, getting into the details of how the information is collected and analyzed, taking into consideration various complexities built by the customers over the years.

    Finally, Justin shares the benefits customers gain from the latest innovations in SAP Business Data Cloud after the migration, such as data products and knowledge graphs, which are the foundational elements of an autonomous enterprise platform.

    Whether you are a BW engineer, NetWeaver administrator, enterprise architect, data architect, or platform engineer, this episode offers valuable insights into how to choose the best path for modernization with SAP Business Data Cloud to build for AI-driven architectures.

    Key Topics of Discussion:

    • Why Modernization with SAP Business Data Cloud: Explore why organizations are modernizing SAP BW and moving toward a more cloud-ready, AI-enabled data landscape.
    • Options to Modernize SAP BW: Compare the lift-and-shift and greenfield approaches for moving SAP BW to Business Data Cloud.
    • Getting Started with SAP BW Modernization: Learn how organizations can assess their current environment and determine the right modernization path.
    • Readiness Assessment Insights: Understand what the SAP BDC assessment evaluates and how its findings help guide modernization decisions.
    • Innovation Benefits with SAP Business Data Cloud: Discover how BDC enables new AI, data product, knowledge graph, and analytics capabilities.

    Subscribe to The Let’s Talk Data Podcast

    Apple Podcasts

    Spotify

    YouTube

    Connect Justin Lynch

    Linkedin

    Connect With Venkata Giduthuri

    LinkedIn

    Links to CTA:

    https://www.sap.com/products/data-cloud/sap-bw-migration.html

    https://www.sap.com/products/data-cloud/sap-migration-assessment.html

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    26 分
  • Sustainability Analytics Unlocked: From out in the Field to into the Data

    Sustainability Analytics Unlocked: From out in the Field to into the Data
    2026/07/28
    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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    33 分
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