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. read less
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Episodes

Skyworks: Revolutionizing Connectivity with RISE with SAP
07-05-2024
Skyworks: Revolutionizing Connectivity with RISE with SAP
Guest host, Erik Lossbroek, is joined by Satya Jayadev, CIO of Skyworks,  who shares insights into Skyworks transformation journey and adoption of Rise with SAP. Satya discusses challenges, emphasizing organizational change management and governance. Satya explores the partnership between Skyworks, SAP, and Deloitte and envisions the post-go-live roadmap, focusing on efficiencies and innovation. Don't miss this episode for valuable insights into the intersection of technology and business in the semiconductor industry. Speakers: Satya Jayadev - Skyworks, Vice President and CIO Erik Lossbroek - Regional Vice President, SAP Additional Resources: If you are you curious to learn how SAP S/4HANA Cloud can help your organization run better and smarter along with hearing from other organizations that have already done so, click https://bit.ly/3xRyVpe   Key Topics of Discussion: Transformation Strategy: Discussing Skyworks' approach to transformation, including foundational aspects and the pursuit of innovation. SAP S/4HANA Cloud Adoption: Exploring why Skyworks chose SAP S/4HANA Cloud and its benefits in driving digital transformation. Organizational Change Management: Emphasizing the importance of managing change and involving stakeholders in the transformation journey. Governance and Collaboration: Outlining Skyworks' governance structure and the role of key partnerships, like SAP and Deloitte. Technology and Connectivity: Understanding how Skyworks uses technology to connect people and places across various markets. Post-Go-Live Roadmap: Discussing Skyworks' plans for driving efficiencies and continuous innovation after implementing SAP S/4HANA Cloud. Lessons Learned and Best Practices: Sharing insights and key takeaways from Skyworks' transformation journey, including the challenges faced and how they were overcome.
Is it Data Product or Data as a Product?
17-04-2024
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.
2023 Trends in Master Data Management
21-12-2023
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 Research Markus Kuppe, VP & Chief Product Owner for SAP Master Data Governance Corrie 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-governance Bloor 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.
Bridging the Gap: Connecting Modern Integration to Business Value
16-12-2023
Bridging the Gap: Connecting Modern Integration to Business Value
Organizations are on a quest to a modern technology stack. This includes integration, which is the glue that brings it all together. Yet, selling the value of integration can get technical too quickly and hard to articulate. Understanding the business and technical benefits of integration and how they translate into business value is key to building the case for investment in this technology and in a broader digital platform. In this episode, Shari Lava, Research Director at IDC, discusses with Emily Mui, Sr. Director, Solution Marketing at SAP, the IT and business value of integration, and how you can tie it to business objectives and measure the business impact of integration. Speakers:  Shari Lava - Research Director, IDC Emily Mui - Sr. Director, Product Marketing Lead For SAP Integration Suite CTA's: Modernize Your Integration Landscape Virtual Summit https://bit.ly/3S8UUmM The Integration Scoop Podcast Introduction: Special edition presented by SAP and Let's Talk Data podcast.Focus on game-changing technology and strategies for innovation through business application and process integration. Guest Speaker: Sheri Lava from IDC: Sheri leads marketing strategy for SAP's iPASS solution (SAP Integration Suite).Sheri is the Research Director of Automation at IDC, covering AI, automation, API management, and integration markets. Integration Market Overview: Integration market reached $8.5 billion in 2022, expected to reach $18 billion by 2027.Shift from on-premise to cloud-delivered solutions.Importance of integration in becoming a digital business with connected, data-driven systems. Why Integration Delivers Strategic Business Value: Connectivity is the bedrock for building a strong foundation for digital businesses.Importance of having data driving decisions for better customer solutions, service offerings, and decision-making.Integration crucial for process automation and resilience. Challenges and Growth: Integration market growth driven by the need for data connectivity in digital businesses.Transition from on-premise to cloud solutions.Overcoming challenges in translating technical benefits into business value. Business Challenges in Implementing Integration: Change management for developers adapting to new ways of working.Historical concerns about product suitability.Importance of defining success uniformly across the organization. Business Outcomes and Objectives: Translation of technical benefits to business value.Examples include lower operating costs leading to greater efficiency, improved customer satisfaction, and increased revenue.Focus on efficiency, reducing integration sprawl, and achieving a 360-degree view of the customer. Low-Code and Measurement of Success: Evolution of low-code tools and their impact on traditional metrics.Emphasis on business outcomes and value instead of lines of code written.Generative AI enhancing low-code tools and improving efficiency. Integration for Automation: Integration as a key player in holistic automation strategies.Addressing challenges of integrating processes with business partners.Ensuring the integration stack is strong and ready for future automation initiatives. Trends in Integration: Significance of AI in integration solutions, enhancing capabilities like error detection and prediction.Importance of a bi-directional relationship between AI and integration.Caution against investing in AI without addressing integration challenges first.
Accelerate Your Move to SAP Integration Suite with SAP & Carhartt
13-12-2023
Accelerate Your Move to SAP Integration Suite with SAP & Carhartt
Learn about Carhartt and their journey to modernize their integration solutions. Hear how they leveraged the SAP Migration Factory program to assess their migration from SAP Process Orchestration/Integration to SAP Integration Suite, their migration off the SAP Business Technology Platform, Neo environment and plans for the future.  Speakers: Saravanan Subramanian – EAI Architect, CarharttSri Pedamallu – SAP Global Center of Excellence Executive, CarharttArti Gopalan – Director of Product Management, SAP Integration SuiteRyan Champlin – Sr. Director Solution Management, SAP Integration Suite     Additional Resources: Modernize Your Integration Landscape Virtual Summit https://bit.ly/3S8UUmMThe Integration Scoop Podcast About Carhartt: Carhartt, founded in 1889 by Hamilton Carhartt, has a 135-year legacy of building rugged products to serve and protect hardworking individuals.With 6,000 employees across the United States and Mexico, Carhartt operates in three business units: Wholesale, Direct-to-Consumer, and Corporate Gear.Product lines include apparel for men, women, and kids, distributed through major partners like Sporting Goods, Tractor Supply, and Home Depot. Digital Transformation Journey: Carhartt's journey started with the integration of S4, followed by the transition to SAP Commerce Cloud and the introduction of the SAP Integration Suite.Currently focusing on implementing best practices and establishing a Center of Excellence. Challenges and Decision-Making: Carhartt faced challenges in modernizing its integration layer after adopting S4 and SAP Commerce Cloud.Choosing the SAP Integration Suite was based on its seamless fit into the SAP landscape, minimizing training concerns, and streamlining system synergy.The API strategy is a key component, enabling integration between cloud and on-premises systems, SAP and non-SAP systems. Working with SAP: Carhartt's experience with SAP has been positive, especially during the migration of multiple interfaces.The transition to the Integration Suite resulted in quicker development times and smooth collaboration with the SAP team.The migration to Integration Suite was guided by SAP's Migration Factory, ensuring a structured and efficient process. Future Steps: Carhartt is gearing up to migrate PO interfaces into the cloud integration, with a focus on API management.Plans include migrating around 200+ interfaces in batches and implementing advanced API management for their evolving needs. Conclusion: The next year for Carhartt involves establishing API management, building on the foundation laid during the PIPO migration.SAP offers dedicated resources for migration scenarios, and if you're not using Integration Suite, access it through the Business Technology Platform free tier. Subscribe and Stay Updated: Enjoyed the podcast? Check out the Let’s Talk Data website for more links and information.Don't miss the next episode of the Integration Scoop - Subscribe or Follow today!
Bad Data Costs the U.S. $3 Trillion Per Year
21-11-2023
Bad Data Costs the U.S. $3 Trillion Per Year
Join Dr. Thomas C. Redman, aka “the Data Doc,” President of Data Quality Solutions, and Kim  Huth-Ziegler and Autumn Moss from the Global Product and Solution marketing team as they discuss an article written by Tom Redman titled “Bad Data Costs the U.S. $3 Trillion Per Year.”  In the original article, published in September of 2016, consideration is given to the astronomical cost of bad data in the U.S. Companies are spending more than ever to correct mistakes in data, but have also absorbed the cost of “checking the data and correcting the data” as just another work task in daily work activities. Reducing the costs of bad data is no secret: you have to shine a light on it and reduce it as much as possible, as quickly as possible.  Join Dr. Thomas C. Redman, aka “the Data Doc” President of Data Quality Solutions, and Kim Huth-Ziegler and Autumn Moss from the Global Product and Solution marketing team as they discuss an article written by Tom Redman titled “Bad Data is Sapping Your Teams Productivity”   The original article, published in Nov 2022 , explores how data quality hasn’t kept up with the current pace of business. Data quality is costing businesses not only time and money but is also contributing to the growing problem of distrust in business operations leading to increased customer frustration. Many managers in today’s business are seeking to obtain all of the data, when in reality they are given a set of incomplete or bad data leaving them to manage “by the seat of their pants.” In this podcast, we will explore the root of the problem and ways to overcome it, which may not be as hard as it seems.   Speakers:                                                                                                                    Thomas C. Redman, Ph.D., the Data Doc, President Data Quality Solutions. Kim Huth- Ziegler Solutions & Product Marketing Senior Specialist – BTP SAP          Autumn Moss Data Management | Business Technology Platform (BTP) Global Solution Marketing Manager, SAP CTA's: This article was written by Thomas C. Redman, “the Data Doc,”   and originally published at Harvard Business Review on  HBR Can Your Data Be Trusted  March 2022  What Boards and Senior Executives Need To Know, and Do, About Data  *Aberdeen Report June 2022  A ROADMAP TO MODERNIZATION WITH A DATA-FIRST MINDSET  *SAP.com – Data Management  Data Management Solutions from SAP  Data Management Solutions from SAP  https://letstalkdatapodcast.podbean.com/ The Friday Afternoon Measurement - YouTube
Data’s Credibility Problem
31-08-2023
Data’s Credibility Problem
Join Dr. Thomas C. Redman, aka “the Data Doc,” President of Data Quality Solutions, and Kim  Huth-Ziegler and Autumn Moss from the Global Product and Solution marketing team as they discuss an article written by Tom Redman titled: “Data’s Credibility Problem”  The original article, published in December 2013, discusses how data is no longer reliable and has caused managers to lose faith in what data they can use. Business strategies are suffering because of it, and at a minimum, new strategies are being put in place to assess usable data. This takes time and money. However, the article investigates one business's dedication to finding, scrubbing, repairing, and then using the correct data to make better business decisions, and quite frankly, it does not take as long as one would think. In this podcast, we will explore the root of the problem and the one simple thing that we could be doing to make a massive impact without investing ample time or resources.  Speakers:                                                                                                                  Thomas C. Redman, Ph.D., the Data Doc, President Data Quality Solutions.  Kim Huth- Ziegler Solutions & Product Marketing Senior Specialist – BTP (SAP)          Autumn Moss Data Management | Business Technology Platform (BTP) Global Solution Marketing Manager (SAP) CTA’s:  Originally posted in the Harvard Business review:  https://blogs.sap.com/2023/05/25/can-your-data-be-trusted/ https://blogs.sap.com/2023/05/25/bad-data-is-sapping-your-teams-productivity/