The Evolving Role of MDM in Modern Data Management

Let’s Talk Data: Business Technology Podcast | SAP

SAP Master Data Governance Product Page

34:35

Marcia Clark, best known as the lead prosecutor in the O.J. Simpson trial, has become a trailblazer for women in law and beyond. Her journey from courtroom to bestselling author reflects her resilience and determination to redefine herself amidst intense public scrutiny. On this episode of Worth Knowing, Clark dives into her latest book, *Trial by Ambush*, which examines the 1953 Barbara Graham case—a story that highlights gender bias, media sensationalism, and the notion that all cases are subject to societal, cultural, and political winds. Clark shares how her experiences during the Simpson trial shaped her perspective on societal pressures and the role of women in high-stakes professions. Her reflections on how media, forensic science, and legal practices have evolved over decades offer valuable insights into the intersection of law and culture. This conversation is a compelling exploration of true crime, personal growth, and how Clark’s groundbreaking career continues to inspire a new generation of women to challenge norms and forge their own paths. Marcia Clark is a bestselling author and a criminal lawyer who began her career in law as a criminal defense attorney and went on to become a prosecutor in the L.A. District Attorney's Office in 1981. She spent ten years in the Special Trials Unit, where she handled a number of high-profile cases, including the prosecution of stalker/murderer Robert Bardo, whose conviction for the murder of actress Rebecca Schaeffer resulted in legislation that offered victims better protection from stalkers as well as increased punishment for the offenders. She was lead prosecutor for the O.J. Simpson murder trial. In May of 1997 her book on the Simpson case, "Without a Doubt," was published and reached #1 on the New York Times, Wall St. Journal, Washington Post, Los Angeles Times, and Publishers Weekly bestsellers lists. In February 2016, Clark re-released the book with a new foreword. Resources Sign up for the Worth Knowing LinkedIn Newsletter to stay up to date: https://www.linkedin.com/newsletters/worth-knowing-7236433935503618048/ Follow Bonnie on LinkedIn: https://www.linkedin.com/in/bonnie-habyan/ Go to the Worth Knowing website: https://www.worthknowing.show Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company…

about a year ago 8:22

MP3•Episode home

Key Topics of Discussion:

The Critical Role of Master Data Management (MDM): MDM serves as the foundation for ensuring clean, consistent, and reliable data, which is crucial for effective decision-making across organizations.

Introduction to Data Fabric: Data Fabric is explained as a modern approach to connecting data across multiple systems, providing real-time access without centralizing it, and enabling a seamless flow of information.

The Dependency of AI on Data Quality: The episode highlights how AI models, like ChatGPT and DALL·E, are only as good as the data they are trained on. Poor data quality can lead to inaccurate outputs, known as AI "hallucinations."

The Financial Impact of Poor Data Management: Incorrect data can result in significant revenue losses, with businesses potentially losing up to 15% due to poor data decisions, underlining the importance of robust MDM practices.

Real-World Case Study on MDM Success: A retail company increased online sales by 20% after improving its MDM strategy, showcasing the tangible benefits of investing in clean, well-managed data for personalized customer engagement and revenue growth.

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Additional Resources:

Modern MDM and its role in data fabric and AI:

What is a business data fabric?

The Evolving Role of MDM in Modern Data Management

100 episodes

#Tech #SAP HANA #Lets Talk Data

The Evolving Role of MDM in Modern Data Management

Let’s Talk Data: Business Technology Podcast | SAP

published about a year ago

MP3•Episode home

Key Topics of Discussion:

The Critical Role of Master Data Management (MDM): MDM serves as the foundation for ensuring clean, consistent, and reliable data, which is crucial for effective decision-making across organizations.

Introduction to Data Fabric: Data Fabric is explained as a modern approach to connecting data across multiple systems, providing real-time access without centralizing it, and enabling a seamless flow of information.

The Dependency of AI on Data Quality: The episode highlights how AI models, like ChatGPT and DALL·E, are only as good as the data they are trained on. Poor data quality can lead to inaccurate outputs, known as AI "hallucinations."

The Financial Impact of Poor Data Management: Incorrect data can result in significant revenue losses, with businesses potentially losing up to 15% due to poor data decisions, underlining the importance of robust MDM practices.

Real-World Case Study on MDM Success: A retail company increased online sales by 20% after improving its MDM strategy, showcasing the tangible benefits of investing in clean, well-managed data for personalized customer engagement and revenue growth.

Subscribe to The Let’s Talk Data Podcast

Apple Podcasts

Spotify

YouTube

Additional Resources:

SAP Master Data Governance Product Page

Modern MDM and its role in data fabric and AI:

What is a business data fabric?

The Evolving Role of MDM in Modern Data Management

100 episodes

#Tech #SAP HANA #Lets Talk Data

All episodes

Let’s Talk Data: Business Technology Podcast | SAP

1
The Future of Enterprise AI starts with Knowledge Graphs – Powered by SAP HANA Cloud 34:58

14 days ago34:58

34:58

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…

Let’s Talk Data: Business Technology Podcast | SAP

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6 weeks ago43:37

43:37

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Let’s Talk Data: Business Technology Podcast | SAP

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6 weeks ago24:03

24:03

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Let’s Talk Data: Business Technology Podcast | SAP

1
Inside IBM’s Hybrid Cloud & AI Powered Evolution: The SAP S4/HANA Journey 24:27

9 weeks ago24:27

24:27

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Let’s Talk Data: Business Technology Podcast | SAP

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26:15

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Let’s Talk Data: Business Technology Podcast | SAP

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The Value of Automation in Master Data Management (MDM) 17:17

23 weeks ago17:17

17:17

In this episode of the SAP Let's Talk Data podcast, host Corrie Birkeness is joined by experts Andreas Seifried (Product Manager at SAP) and Kai Hüner (CTO of CDQ) as they discuss the critical role of automation and data quality in master data management (MDM). They dive into the value of automation in master data management (MDM) and the critical role of high-quality, trusted data in enabling reliable and efficient automation. They explore the challenges of manual data management, such as errors, inefficiencies, and delays, and highlights how automation can improve data accuracy, save costs, and support business growth. Andreas and Kai also explain how their collaboration integrates CDQ's trusted data services with SAP's Master Data Governance (MDG) solution. They share examples of companies achieving faster processes, reduced compliance risks, and enhanced scalability through automation. Key Topics of Discussion: The Importance of Trusted, High-Quality Data - Trusted data is essential for reliable automation, compliance, and AI initiatives. The concept of "trusted data" emphasizes accuracy, traceability, and verified sources like tax authorities or trade registers. Challenges of Manual Master Data Management (MDM) - Manual MDM is labor-intensive, error-prone, and causes inefficiencies, delays, and bottlenecks. Mistakes in master data lead to operational issues like delayed logistics, compliance failures, and rework costs. Benefits of Automation in MDM - Automation reduces manual effort, errors, and compliance risks while improving speed and scalability. Examples highlight significant cost and time savings, such as reducing supplier onboarding from 50 minutes to 1 minute. Collaboration Between SAP and CDQ - SAP MDG integrates with CDQ's trusted data services to enable seamless data lookup, enrichment, and validation. Simplified setup processes, like value mapping and trusted data sourcing, streamline automation implementation. Features Supporting Automation in SAP MDG - Tools like derivation rules, rule mining, and AI-powered features enhance data accuracy and governance. These features help organizations automate repetitive tasks, reduce errors, and enable growth. Subscribe to The Let’s Talk Data Podcast Apple Podcasts Spotify YouTube Connect With Corrie Birkeness Linkedin Connect With Andreas Seifried LinkedIn Connect With Kia Hüner LinkedIn Additional Resources: CDQ Business Value Study: https://hubs.la/Q02YwW-_0 Enrichment of Business Partner Master Data using CDQ blog: https://community.sap.com/t5/technology-blogs-by-sap/mass-enrichment-of-business-partners-with-tax-and-id-numbers-found-using/ba-p/13915206 SAP Master Data Governance product page: www.sap.com/mdg CDQ on the SAP Store: https://store.sap.com/dcp/en/product/display-2001000790_live_v1…

Let’s Talk Data: Business Technology Podcast | SAP

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31:58

In this episode on modern manufacturing, we dive into AdvanSix’s journey with SAP’s Cloud ERP through the "Rise with SAP" offering. Our guest, Laura Lambeseder, an SAP S/4HANA Program Leader, shares a behind-the-scenes look at how AdvanSix—a fully integrated chemical manufacturing companyis approaching its digital transformation with cloud ERP. Listeners will hear about the strategic goals and benefits AdvanSix aims to achieve with their move to a cloud-based ERP solution, coupled with the challenges encountered along the way. Laura discusses how cloud ERP is expected to enhance operational efficiency and flexibility, enabling AdvanSix to respond more swiftly to market demands. This episode offers a practical case study on modernizing complex, integrated manufacturing operations through cloud technology, in addition to providing valuable insights for businesses considering a similar transformation. Key Topics of Discussion: The Role of Cloud ERP in AdvanSix's Digital Transformation - Discussion of why AdvanSix chose to transition to a cloud-based ERP and the anticipated benefits for their operations. Challenges in Implementing Large-Scale ERP Solutions - Exploration of obstacles encountered during the ERP implementation process, including change management and system integration. Impact of ERP on Operational Efficiency and Agility - Insights into how the new ERP system is expected to streamline processes, enhance agility, and support AdvanSix’s long-term business goals. Strategies for Managing Digital Transformation - Practical strategies employed by AdvanSix for navigating such a significant digital shift, including managing expectations and setting realistic goals. Future Expectations and Goals for AdvanSix Post-ERP Implementation - An overview of AdvanSix's vision for the future, focusing on the expected impacts of the ERP system on their business scalability and adaptability. Subscribe to The Let’s Talk Data Podcast Apple Podcasts Spotify YouTube Connect With Laura Lambeseder 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. Catch the last workshop for 2024: https://bit.ly/41ilyOQ 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…

Let’s Talk Data: Business Technology Podcast | SAP

1
The Evolving Role of MDM in Modern Data Management 8:22

28 weeks ago8:22

8:22

In this episode of the SAP Let's Talk Data podcast, we explore how Master Data Management (MDM) is essential for leveraging modern technologies like Data Fabric and Artificial Intelligence (AI). While Data Fabric connects data across systems for real-time access, and AI offers powerful insights, their success depends on a solid MDM foundation. Hosted by Corrie Birkeness, this episode is uniquely AI-generated and provides an in-depth look at why foundational data practices are more important than ever in today’s data-driven business environment. Key Topics of Discussion: The Critical Role of Master Data Management (MDM): MDM serves as the foundation for ensuring clean, consistent, and reliable data, which is crucial for effective decision-making across organizations. Introduction to Data Fabric: Data Fabric is explained as a modern approach to connecting data across multiple systems, providing real-time access without centralizing it, and enabling a seamless flow of information. The Dependency of AI on Data Quality: The episode highlights how AI models, like ChatGPT and DALL·E, are only as good as the data they are trained on. Poor data quality can lead to inaccurate outputs, known as AI "hallucinations." The Financial Impact of Poor Data Management: Incorrect data can result in significant revenue losses, with businesses potentially losing up to 15% due to poor data decisions, underlining the importance of robust MDM practices. Real-World Case Study on MDM Success: A retail company increased online sales by 20% after improving its MDM strategy, showcasing the tangible benefits of investing in clean, well-managed data for personalized customer engagement and revenue growth. Subscribe to The Let’s Talk Data Podcast Apple Podcasts Spotify YouTube Additional Resources: SAP Master Data Governance Product Page Modern MDM and its role in data fabric and AI : What is a business data fabric? The Evolving Role of MDM in Modern Data Management…

Let’s Talk Data: Business Technology Podcast | SAP

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28 weeks ago17:23

17:23

In this podcast episode, Terry Penner and Jürgen Butsmann discuss the latest developments in SAP Business AI for SAP S/4HANA, and SAP BTP. The conversation focuses on how Artificial Intelligence is evolving at SAP, with particular attention to large language models (LLMs) and their growing application in SAP cloud ERP and SAP BTP solutions. Speakers: Jürgen Butsmann is part of the SAP S/4HANA Cloud Product Marketing team responsible for AI in the context of SAP S/4HANA, finance and digital supply chain. Jürgen has been with SAP for more than 26 years. He is a recognized expert for SAP S/4HANA and SAP BTP. Terry Penner is part of the SAP BTP marketing team for Business Applications, focused on SAP BTP for SAP S/4HANA. He has more than 23 years of technical and business experience in the SAP platform and analytics, including working directly on hundreds of customer implementations. Key Topics of Discussion: Evolution of AI and Large Language Models (LLMs) –The growth of LLMs, their transition from entertainment to business use, and their fact-based capabilities. AI Integration in SAP’s ERP Strategy – How AI is becoming central to SAP’s strategy, particularly in areas like cloud ERP, digital supply chain, and finance. Differentiating the AI solutions in SAP cloud ERP – Notable price declines in AI services make AI technology more accessible and attractive for business applications. Role of SAP Joule – What is SAP Joule and how can AI add value to the business AI Extensibility and SAP BTP – Collaboration between SAP BTP and ERP to provide extensible AI solutions, supporting various business processes through flexible and scalable tools. Subscribe to The Let’s Talk Data Podcast Apple Podcasts Spotify YouTube Call to Action: Learn more about SAP BTP for S/4HANA and RISE at SAP BTP for S/4HANA This is a follow-up to AI for SAP S/4HANA and SAP BTP: a deep-dive discussion…

Let’s Talk Data: Business Technology Podcast | SAP

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Behind the Scenes: How Rise with SAP Enhances T. Marzetti’s Partnerships 36:16

39 weeks ago36:16

36:16

In this episode, we dive into the fascinating history and ongoing evolution of the T. Marzetti Company and its partnership with major top named brands enhanced by Rise with SAP. Host Jennifer Frank McGrory, SAP Go-To Market Lead and The T. Marzetti Company’s CIO Liam Durbin explore the company’s rich history of women in leadership, its diverse product offerings, and its innovative approach to partnerships and product development. Join us as we uncover how T. Marzetti has grown into a nearly $2 billion company while maintaining a unique blend of tradition and modernity. Also in this episode: Women in Leadership: Two of the company's largest brands, T. Marzetti and Sister Schubert’s, were founded by women, highlighting early female leadership in the business. Product Range and Partnerships: T. Marzetti produces a wide range of products, including dressings, sauces, bread products, and even caviar. Innovation and Collaboration: The company is involved in innovative partnerships, working closely with clients to develop new products and ideas through their innovation center. CIO Role and Responsibilities: Liam Durbin's role as CIO involves overseeing systems, infrastructure, cybersecurity, and project management. He also leads the COE (Center of Excellence), which includes business-facing aspects of their ERP implementation. ERP Implementation: The company transitioned from an old green screen system called PRISM to SAP as part of their modernization efforts. This ERP implementation was backed by strong executive support and was seen as necessary for future growth. Organizational Change Management (OCM): The company invested heavily in OCM to ensure user adoption of the new system. This included extensive training, continuous improvement initiatives, and maintaining knowledge amidst high employee turnover. Subscribe to The Let’s Talk Data Podcast Apple Podcasts Spotify YouTube Connect With Liam Durbin 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. Catch the last workshop for 2024: https://events.sap.com/us/sapclouderpsimulation/en/home 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…

Let’s Talk Data: Business Technology Podcast | SAP

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Journey to Intelligent Data Applications: Modernize with SAP HANA Cloud 24:29

41 weeks ago24:29

24:29

Join Matthew Zenus, Global Vice President – SAP HANA & Persistency, Product Management and Strategy, and Daniel Dukes, Senior Product Marketing Director, as they reminisce on SAP HANA and the bright future of SAP HANA Cloud. Enjoy a time of personal stories, candid advice, and forward thinking from these two veterans. For anyone considering SAP HANA Cloud or even a current customer, this conversation is a must hear as SAP HANA Cloud is enabling industry leading advancements that are shaping the future of applications. Listeners of all application develop roles and expertise levels are encouraged to tune-in. Connect with our speakers: Daniel Dukes – https://www.linkedin.com/in/danieldukes/ Matthew Zenus – https://www.linkedin.com/in/matthew-zenus-3594a81/ Don’t stop here – discover more: SAP HANA Cloud - https://www.sap.com/canada/products/technology-platform/hana.html SAP HANA Cloud Basic Trial – https://www.sap.com/canada-fr/products/technology-platform/hana/trial.html SAP HANA Cloud Community – https://pages.community.sap.com/topics/hana/cloud Key Topics: Early Adoption and Innovation: The podcast highlights the early days of SAP HANA, emphasizing the groundbreaking in-memory architecture and its significant impact on query acceleration. A notable example is a utility company in Amsterdam that leveraged SAP HANA to enhance geospatial queries, leading to the development of a high-performing, in-memory geospatial engine. Multi-Model Engine Journey: The integration of geospatial capabilities marked the beginning of SAP HANA's multi-model engine journey. This journey has evolved to include various engines like graph, JSON, document store, and vector engines, positioning multi-model functionality as a key differentiator for SAP HANA and SAP HANA Cloud in the market. Current Market Challenges: The podcast discusses the prevalent challenges customers face today, including complexity due to heterogeneous environments, data fragmentation, the explosion of diverse data sources, and the increasing importance of financial governance and price-performance optimization in cloud environments. Four Pillars of HANA Cloud Development: The development strategy for SAP HANA Cloud focuses on four key pillars: simplicity, financial governance and price performance, deployment flexibility, and automation and intelligence. These pillars are designed to make SAP HANA Cloud easier to adopt, administer, and scale while optimizing cost and performance. Generative AI Integration: The podcast highlights the integration of generative AI in SAP HANA Cloud, specifically through the native vector engine. This engine supports advanced AI use cases like similarity searches, semantic searches, and retrieval-augmented generation (RAG), which enhances large language model queries with relevant, organization-specific data. Upcoming Innovations: SAP HANA Cloud has an aggressive roadmap for the remainder of 2024 and 2025, including larger instance sizes, enhanced cost monitoring features, elastic compute nodes, multi-tenancy, SQL on files, and the introduction of a knowledge graph. These innovations are aimed at improving scalability, performance, and cost efficiency. Transition from On-Premise to Cloud: The podcast emphasizes the simplicity of migrating from on-premise SAP HANA to SAP HANA Cloud. SAP provides various tools and resources to assist customers in this transition, making it a natural and straightforward process to modernize and take advantage of SAP HANA Cloud's innovations.…

Let’s Talk Data: Business Technology Podcast | SAP

1
Establishing a Clean Core: Keep the Data Clean 27:05

1 year ago27:05

27:05

A clean core helps customers keep up with the competition and use SAP S/4HANA standard features whenever possible and provides an easier way to keep getting updates without breaking business-specific functionality. During this podcast, Sue Waite, Senior Director for North American Center of Excellence, Business Technology Platform solutions at SAP, and David Sentance, Associate Partner and Head of Data & Analytics at Camelot Management Consultants, will discuss how enterprise data management practices help ensure a clean core as well as mitigate risk to your business transformation initiatives. Speakers: Sue Waite, Senior Director for North American Center of Excellence, Business Technology Platform solutions at SAP David Sentance, Associate Partner and Head of Data & Analytics at Camelot Management Consultants Host: Corrie Birkeness Additional Resources: Building an Information Backbone for the Digital Enterprise: https://bit.ly/3wsYjVg Accelerate Your Move to the Cloud with Trusted Data: https://bit.ly/4bWD7Gj The Business Case for Clean Master Data: https://bit.ly/44LiZnR SAP solutions for Data & Analytics: https://bit.ly/3IDy9kS SAP solutions for Data Management: https://bit.ly/3UXbRBD The Data Tower Setup in SAP S/4HANA Initiatives (Camelot ITLab): https://bit.ly/3WBxokG Your Fast Forward S/4HANA Data Transformation (Camelot ITLab): https://bit.ly/4bjuPYO Data Quality Health Check (Camelot ITLab): https://bit.ly/44J9cig Data Analyzer (Camelot ITLab): https://bit.ly/3V2NnGb Key Topics of Discussion: Importance of a Clean Core: Discuss the significance of establishing and maintaining a clean core in data management, especially in the context of transitioning from classic ERP systems to cloud-based solutions like S/4HANA. Emphasize the benefits of having a clean core, such as improved efficiency, accuracy, and adaptability. Dimensions of a Clean Core: Break down the five core dimensions of a clean core, including data cleanliness, composable approach, extensions, integration, and operational efficiency. Explain how each dimension contributes to the overall cleanliness and effectiveness of the core ERP system. First Steps in Moving to the Cloud: Explore the initial steps organizations should take when transitioning to the cloud, focusing on foundational work related to data management and governance. Highlight the importance of assessing existing data challenges and developing a strategy for data migration and quality improvement. Outcome-Driven Data Strategy: Stress the significance of adopting an outcome-driven data strategy before embarking on migration projects. Provide examples of business objectives, such as compliance, customer experience enhancement, or process optimization, and illustrate how these objectives inform the data strategy. Source Data Assessments and Data Quality Improvements: Discuss the importance of conducting source data assessments to identify gaps, inconsistencies, and data quality issues. Explain how these assessments serve as a foundation for data quality improvements and help organizations avoid pitfalls during migration and implementation. Techniques for Keeping Data Clean: Explore techniques and tools for maintaining data cleanliness, including accurate data capture, enrichment, and ongoing governance. Highlight solutions like SAP Master Data Governance (MDG) and data quality management micro-services for ensuring data integrity and accuracy. Change Management in Master Data Governance: Address the organizational change management aspect of implementing master data governance solutions. Discuss the need for training, stakeholder engagement, and establishing data governance councils and stewardship roles to ensure successful adoption and maintenance of clean data practices.…

Let’s Talk Data: Business Technology Podcast | SAP

1
Skyworks: Revolutionizing Connectivity with RISE with SAP 20:50

1 year ago20:50

20:50

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 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.…

Let’s Talk Data: Business Technology Podcast | SAP

1
SAP S/4HANA Data Migration and Master Data Management Best Practices with SAP BTP 39:05

1 year ago39:05

39:05

SAP experts discuss best practices and practical approaches for migrating data and master data management with SAP S/4HANA and SAP Business Technology Platform. SAP experts discuss best practices and practical approaches for migrating data and master data management with SAP S/4HANA and SAP Business Technology Platform. Speakers: Randy Connelly - Global Data Governance Practice Lead, Syniti Bill Todd - Principal Solutions Advisor, SAP Terry Penner - Marketing and Solutions, SAP BTP Part 1: Data Migration Key challenges Best practices for system conversion Best practices for selective data transition Best practices for new implementations Data migration tool options Part 2: Master Data Management Challenges and priorities Efficiently working with master data Part 3: Clean Core Data management and clean core Getting started with data migration to S/4HANA Learn more at: SAP BTP for RISE with SAP RISE with SAP SAP S/4HANA Extensions and Clean Core Best Practices SAP Advanced Data Migration and Management Tool SAP Master Data Governance…

Let’s Talk Data: Business Technology Podcast | SAP

1
Is it Data Product or Data as a Product? 31:18

1 year ago31:18