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.

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 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

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 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

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

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

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.