Let’s Talk Data: Business Technology Podcast | SAP

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

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 2022: https://bit.ly/3hqyLA3  
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 
 
 
 

Journey to Intelligent Data Applications: Modernize with SAP HANA Cloud

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.

Establishing a Clean Core: Keep the Data Clean

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 SAPDavid 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.

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.
 

SAP S/4HANA Data Migration and Master Data Management Best Practices with SAP BTP

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

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.
 
 
 
 

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

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
 
 
 
 

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

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.