Community is a three-legged stool made up of Events, Platform, and Omnipresence (meeting members where they are). AI reshapes how people interact, but not why they gather. 
Taking place in the Brew Park during Pub Night in the Exhibit Hall, this session discusses how the SAP Community was formed, where it is now, and what its future looks like in a human-human, member-focused world. 

• AI reshapes how people interact, but not why they gather.
• As AI scales content, trust becomes the differentiator.
• The future is not AI vs humans. It’s AI accelerating connection.

Ask the Experts sessions provide an informal setting to connect one-on-one with subject matter experts and experienced end users on specific areas of expertise. Bring your pressing questions and be ready to discuss your key challenges and priorities.

Topics Covered: SAP Analytics Roadmap & Strategy, SAP Business Data Cloud (BDC) Architectures & Licensing, Modernizing Legacy Data Warehouses /SAP BW Modernization, Enterprise Data Architecture and AI-enabled Analytics, SAP Datasphere and SAP Analytics Cloud Planning, and Advance Analytics Architecture with AI/ML.

Ask the Experts sessions provide an informal setting to connect one-on-one with subject matter experts and experienced end users on specific areas of expertise. Bring your pressing questions and be ready to discuss your key challenges and priorities.

Topics Covered:
Enterprise Data Warehousing, Data Governance, Self-Service and AI-Ready Analytics, ECC to S/4 HANA Data Migration, Datasphere, and Data Integration

Ask the Experts sessions provide an informal setting to connect one-on-one with subject matter experts and experienced end users on specific areas of expertise. Bring your pressing questions and be ready to discuss your key challenges and priorities.

Topics Covered:
SAP Analytics Cloud, SAP Datasphere, SAP Business Data Cloud, Data & Analytics Strategy, and Business Intelligence.

Kick off SAPinsider 2026 with pre-conference gatherings designed to connect you with peers navigating similar priorities, decisions, and challenges. These facilitated roundtable conversations create space for candid exchange, shared experience, and practical insight in a relaxed setting before the main agenda begins. Choose a discussion aligned to your interests and walk away with fresh perspectives and new connections that set the tone for the rest of the week.

Creating a data model within SAP Analytics Cloud or any SaaS Analytics tool is the hardest part of building stories or dashboards. This technical session provides actionable techniques and tips for developing data sets for your Analytics platforms that won't be found in any manual.

You will learn:

• Why building a good model is the hardest part of any BI project.
• The concept of  ‘dimensionality of data’ and why it’s so important for building a good model.
• A little-known trick to reduce the size of large data sets.
• Some essential SQL functions you won't find anywhere else.
• When it’s better to use standard reporting tools like Business Objects or others.

SAP ECC to SAP S/4HANA modernization initiatives are frequently constrained by years of accumulated custom code, undocumented logic, and intertwined system dependencies that increase remediation effort, extend timelines, and elevate risk. This session explores how Nova Intelligence’s Agentic AI platform can be applied within transformation programs to document legacy systems, map complex dependencies, and generate clean core–aligned code to modernize existing customizations or replace them with standard functionality. 

Key Learning Objectives:

• Recognize the custom code challenges that most impact SAP S/4HANA migration timelines and risk.
• Understand how Nova Intelligence performs large-scale custom code discovery and dependency mapping.
• Examine how AI-supported retain, retire, or replace classification improves modernization planning.
• Evaluate how Clean Core–aligned refactoring can reduce long-term technical debt.

Note: This lab session is BYOD (bring your own device). A limited number of devices may be available to borrow if needed.
Power is available at the tables. Please connect to the secure event Wi-Fi and test your browser before the session begins.

Designed for data engineers and architects, this hands-on session demonstrates how SAP Business Data Cloud enables the connection, integration, and transformation of SAP and non-SAP data, while preserving business context across analytics and AI workloads.

Capacity is limited to 50 participants. If the lab is full, please join the waitlist. Pre-registered attendees should arrive at least 10 minutes before the session to claim their seat. To ensure an on-time start, any unclaimed seats will be released to waitlisted attendees 5 minutes before the session begins. If you’ve preregistered and later decide not to attend, please remove the session from your agenda in the event app so your spot can be offered to the waitlist. Waitlisted attendees should monitor the event app on the day of the lab and be prepared to proceed to the room quickly if space becomes available. Note: To receive waitlist updates, be sure to enable networking and allow push notifications in the app.

Note: This lab session is BYOD (bring your own device). A limited number of devices may be available to borrow if needed.
Power is available at the tables. Please connect to the secure event Wi-Fi and test your browser before the session begins.

Designed for data engineers and architects, this hands-on session demonstrates how SAP Business Data Cloud enables the connection, integration, and transformation of SAP and non-SAP data, while preserving business context across analytics and AI workloads.

Capacity is limited to 50 participants. If the lab is full, please join the waitlist. Pre-registered attendees should arrive at least 10 minutes before the session to claim their seat. To ensure an on-time start, any unclaimed seats will be released to waitlisted attendees 5 minutes before the session begins. If you’ve preregistered and later decide not to attend, please remove the session from your agenda in the event app so your spot can be offered to the waitlist. Waitlisted attendees should monitor the event app on the day of the lab and be prepared to proceed to the room quickly if space becomes available. Note: To receive waitlist updates, be sure to enable networking and allow push notifications in the app.

In today’s data-driven world, organizations that lack a well-defined data and analytics strategy risk falling behind their competition. But what does a strong strategy look like, and how can companies develop one that drives business value?

This session will explore the critical components of a successful data and analytics strategy, why it is essential for modern enterprises, and how organizations can approach its development. We will break down key elements, including data governance, integration, analytics enablement, cloud strategy, and AI/ML adoption. Additionally, we’ll discuss common pitfalls, best practices, and actionable steps to align data initiatives with business goals. Whether you are starting from scratch or refining an existing strategy, this session will equip you with the tools to drive data-driven transformation in your organization.

In this session, you will:

• Gain insights into real-world implementation approaches. 
• Learn how to measure the success of their strategy.
• Leave with a roadmap to build a data and analytics foundation that delivers tangible business outcomes.

Join this panel discussion to learn how customer organizations are alleviating pressure to deliver superior business outcomes by leveraging SAP BDC to solve challenges and drive business results to new highs. Hear from companies who have implemented unique and innovative business use cases leveraging BDC.  These customers will discuss their use cases and their journeys from business case to business value, including best practices and lessons learned.  This session delivers a wealth of information for organizations that are reviewing their SAP BDC strategy and want to leverage SAP’s innovative technologies.  

You’ll understand:

• What motivated the customer’s use of SAP BDC.
• How these organizations worked with their businesses to identify use cases.
• Best practices and lessons learned from their BDC experiences and the immediate benefits from their implementations.
• What’s next on their innovation roadmap.

Norfolk Southern knew from the start that clean, reliable data would be the cornerstone of a successful SAP S/4HANA transformation. This session shares how the organization made data cleansing a strategic priority, from implementing scalable data profiling, cleansing, and validation processes to establishing sustainable governance models to ensure lasting data integrity. Understand the business impact of clean data in SAP S/4HANA and get tips to resolve common data quality issues in the ECC environment pre-migration. Plus, discuss key metrics the company used to measure data quality improvements and support continuous monitoring.

Key takeaways:

• An understanding of how to make data cleansing a strategic priority.
• Real-world insight into our data cleansing project and processes.
• Key metrics that you can use to monitor and measure your data quality.

This session examines how to use SAP AI Core and SAP BTP to enhance analytics and intelligence across an SAP S/4HANA landscape, with a practical walkthrough of building and operationalizing machine learning models on SAP data.

Key learning objectives: 

• Build and operationalize machine learning models using Python and R on SAP HANA data.
• Use SAP AI Core to manage, deploy, and run models within an SAP BTP environment.
• Integrate machine learning outputs into SAP S/4HANA workflows to support intelligent automation.
• Apply analytics-driven insights to improve decision-making and enable continuous improvement across business processes.

This session draws on Vistaprint’s SAP S/4HANA production experience and examines how on-stack extensibility was applied using an upgrade-proof, clean core–aligned approach to reshape financial operations and reporting while accelerating access to critical insights. Hear how the company combined Fiori app variants and in-app data model extensions to adapt standard SAP applications for role-specific usage without modifying the core. Explore how they created custom analytical queries that delivered deeper visibility into financial performance and trends using a combination of standard and extended data. Take away proven patterns for evolving SAP S/4HANA using standard extensibility to improve usability, insight, and flexibility.

The reality of managing data across disparate systems often results in a fragmented, siloed data landscape that hinders agility and decision-making. This session presents a detailed case study of Dodge Industrial’s comprehensive data integration journey, offering practical insights into how we transitioned from significant data disconnection to a harmonized, integrated environment with Datasphere at the center. We’ll discuss our scenario before the integration project, detailing pain points, data quality issues, and inefficiencies we faced. Then we’ll walk through the project and share with you how we arrived at our current state and lessons learned along the way.

You’ll get:

• A transparent review of the critical choices we made along the way.
• Key takeaways from our experience connecting various non-SAP data sources (Snowflake, Salesforce, MS SQL Server, SharePoint, etc.).
• How we stitched it all together - the approach we used to create a unified data fabric.
• Actionable insight into enabling bi-directional data feeds.
• Insight into the specific integration platforms, ETL tools, and middleware that enabled our solution.

Metrie—the largest manufacturer and supplier of solid wood and composite molding in North America—has been transforming homes since 1926. In this candid case study session, we’ll walk through how the team modernized sales and procurement reporting by migrating a legacy SAP HANA solution to SAP Business Data Cloud, using SAP Datasphere and SAP Analytics Cloud (SAC). You’ll see the end-to-end journey: why Metrie chose to modernize, the target data architecture, how semantic models and data products were designed in Datasphere, and how business-ready dashboards in SAC now drive faster decisions across sales and sourcing. 

Key takeaways:

• Lessons learned from our analytics modernization journey.
• Performance tips and the operating model that keeps IT and business aligned.
• A preview of what’s next: evaluating SAP Databricks to power forecasting and broader ML scenarios—all while preserving governance and trust.

This session walks through how to activate and use the core components of SAP Business Data Cloud, showing attendees how to move from first activation to real usage by covering environment setup, core service configuration, and common implementation patterns that accelerate time to value.

What can organizations do to reduce the cost and complexity of transitioning to SAP S/4HANA? Discover practical strategies for managing data and documents that give your S/4HANA journey a first class upgrade and streamline your move to the new platform. Explore how implementing targeted process improvements now can maximize the benefits you’ll realize from SAP S/4HANA. 

In this session you'll learn:

• Why data archiving is the key to a fast and cost-effective transition.
• When you can begin incorporating capabilities such as machine learning, AI, and cloud-based services to elevate process automation.
• How real time data can increase visibility into cash flows and empower better financial decision making as you upgrade to a first-class financial operation.

Note: This lab session is BYOD (bring your own device). A limited number of devices may be available to borrow if needed.
Power is available at the tables. Please connect to the secure event Wi-Fi and test your browser before the session begins.
 

SAP Business Data Cloud is SAP’s strategic product for data warehousing in the cloud. This hands-on workshop delivers a series of activities focused on SAP Business Data Cloud. In this beginner session, you will learn to use the different components in SAP Business Data Cloud and how to get started leveraging your corporate data and creating your first data model. The session will provide you with hands-on experience in multiple areas of SAP Business Data Cloud.

Key takeaways:

• The ability to get your hands on SAP Business Data Cloud.
• Understanding of the different components of SAP BDC.
• Knowledge of how to get started creating your first BDC data model.
   

Capacity is limited to 50 participants. If the lab is full, please join the waitlist. Pre-registered attendees should arrive at least 10 minutes before the session to claim their seat. To ensure an on-time start, any unclaimed seats will be released to waitlisted attendees 5 minutes before the session begins. If you’ve preregistered and later decide not to attend, please remove the session from your agenda in the event app so your spot can be offered to the waitlist. Waitlisted attendees should monitor the event app on the day of the lab and be prepared to proceed to the room quickly if space becomes available. Note: To receive waitlist updates, be sure to enable networking and allow push notifications in the app.

This interactive session examines a challenge familiar to managers and budget holders across industries: enterprise workflows fragmented across inboxes, portals, and applications that slow execution and reduce visibility. Through guided discussion and live demonstrations, attendees see how SAP workflows such as approvals, notifications, and data capture from systems such as SAP S/4HANA can be handled directly within Microsoft Teams, simplifying day-to-day work while improving control and decision speed. 

By attending, you will: 

• See live demonstrations of SAP workflows, including approvals, notifications, and data capture, executed directly within Microsoft Teams.
• Learn how in-context workflows reduce inbox overload and eliminate delays caused by fragmented tools.
• Explore practical patterns for simplifying enterprise workflows while maintaining visibility and accountability.
• Engage with peers and experts to ask questions, compare approaches, and identify realistic next steps for modernizing SAP-driven work.

In today's rapidly evolving digital landscape, effective data management is crucial for organizations aiming to integrate their systems and leverage the power of artificial intelligence (AI) to drive innovation and efficiency. Join us for an insightful session where we will explore how Boomi can seamlessly connect everything—from SAP systems to AI applications—enabling our customers to unlock new opportunities and enhance operational performance through robust data strategies.

Key takeaways:

• Integration Made Easy: Discover how Boomi's low-code integration platform simplifies the process of connecting SAP with various applications and data sources. This ensures a smooth flow of information across your organization, enhancing data accessibility and integrity.
• Harnessing AI Capabilities: Learn how to effectively manage and leverage AI technologies within your SAP environment. Gain deeper insights, automate processes, and enhance decision-making through intelligent data utilization.
• Importance of Data Organization: Understand the critical need for well-organized and managed data before embarking on AI initiatives. Proper data governance and structure are essential for maximizing the effectiveness of AI applications and ensuring reliable outcomes.
• Live Demo: Experience a live demonstration of Boomi Agents that process overdue/unpaid invoices. Witness how automating manual and error-prone processes can lead to efficient data management and improved collection of payments from customers.
• Future-Proof Your Business: Understand the critical role of a connected ecosystem in driving digital transformation. Learn how Boomi can help you stay ahead in a competitive landscape by ensuring your data is integrated, accessible, and actionable.

Still manually entering data into SAP systems? It’s time to let AI take over. This interactive session explores how AI-powered automation can convert complex, human-readable documents into structured data ready for SAP, eliminating the need for manual input across key business areas such as finance, supply chain, and compliance. 

In this session, you will:

• Gain insights into how to start small, scale effectively, and identify high-impact use cases that make AI adoption practical and valuable.
• Understand how AI can automate manual data entry tasks across SAP processes by transforming complex documents into structured, system-ready data.
• Explore real-world examples of AI-driven automation in global trade, finance, and customer service operations using SAP BTP.
• Discuss strategies to implement a flexible, scalable framework that works with ECC, SAP S/4HANA, GTS, and third-party systems without requiring RISE.
• Discover a practical approach to AI adoption, starting with a single use case and expanding based on ROI and operational impact.
• Examine technical requirements, integration options, and best practices for maintaining high data accuracy and compliance in automated workflows.

Grab a coffee and join an intimate, Experts Café conversation hosted by HGS, featuring insights from Michael Svolos and Srinivas Balasubramanian from Kyocera International. We’ll dig into how leaders are reshaping their data and analytics foundations as they evaluate SAP Business Data Cloud (BDC) as part of their future enterprise architecture. 

In this fast‑paced session, we’ll break down:

• Why today’s SAP data and planning environments are hitting a wall — and what’s driving leaders to rethink tools, architecture, and processes. 
• How to balance harmonized, governed data with the agility your business teams demand. 
• The emerging BDC capabilities that matter now, including Seamless Planning and the potential they unlock for end‑to‑end enterprise planning.
• A practical look at AI readiness — what’s real today, what’s not, and what CIOs should be asking before committing to a platform path. 
• Clear guidance on when BDC actually makes sense (and when it doesn’t), plus how your peers are approaching these decisions. 
• You’ll leave with actionable insights, field‑tested perspectives, and a sharper understanding of how leading enterprises are navigating the next generation of SAP‑enabled analytics and planning. All in a candid, conversational café‑style setting designed for real talk. 
• Come for the coffee. Stay for the insights. Leave with clarity.

Across industries, SAP leaders are under pressure to modernize analytics and adopt AI, yet many remain constrained by fragmented data estates, slow analytics cycles, and disconnected platforms. These challenges do more than delay insights — they limit the real business value AI can deliver. Without clean, unified, and governed data, even advanced AI initiatives struggle to scale.

In this session, we explore how SAP-driven organizations are rethinking their data strategy to break down silos, accelerate insight, and build an AI-ready foundation - without disrupting core SAP investments. We’ll share a practical data narrative focused on unification, governance, and usability rather than tools alone, drawing on real-world patterns seen across SAP-centric enterprises.

We’ll also examine the growing alignment between SAP and Microsoft data platforms, including how SAP Business Data Cloud (BDC) and Microsoft Fabric are shaping a more integrated analytics and AI roadmap. Attendees will learn how modern data platforms enable SAP organizations to converge analytics, real-time intelligence, and AI into a trusted data estate, reduce ETL complexity, and improve productivity through embedded AI assistants - while positioning for tighter, future-ready integration across SAP and Microsoft ecosystems.

Key Takeaways:

• Why fragmented data remains the #1 barrier to SAP analytics and AI success.
• How unified, governed data estates accelerate insight and reduce analytics cycles.
• The role of embedded AI copilots in improving productivity across technical and business teams.
• How SAP customers can build custom, trusted AI experiences grounded in enterprise data.

Post-SAP S/4HANA migration, legacy data retention is a requirement for compliance, audits, and business continuity.  Depending on your migration choice, standard SAP archiving may not be sufficient for a complete ECC system retirement. PBS data archiving experts will compare compliant data retention options for your choice of migration approaches.  Prepare for a complete legacy system shutdown, preserve historic data integrity, and reduce costs with the right solution for your organization.

In this session, you will:

• Learn the difference in SAP Data Archiving vs System Decommissioning Technology.
• Understand how your S/4HANA migration approach affects your legacy data retention.
• Learn best practices to ensure compliance for your legacy SAP data needs.

Organizations are accelerating their SAP Business Data Cloud (BDC) and SAP Datasphere implementations by adopting an AI-augmented development strategy. This approach enabled the organization to automate the creation of tailored Core Data Services (CDS) views and SQL logic, dramatically reducing manual effort and increasing development speed. The result was a significant boost in productivity, faster delivery timelines, and improved adaptability to unique business needs.

This session will explore how AI-powered development techniques can streamline SAP data projects and unlock new value. Attendees will gain insight into how automation can simplify complex tasks, improve scalability, and support integration with platforms like Microsoft Fabric. The discussion will also cover best practices in SAP data modeling and de-normalization, offering practical guidance for teams looking to enhance agility and deliver more impactful outcomes from their SAP investments.

In this session, you will:

• Discover how AI-driven tools can automate the creation of tailored CDS views, streamlining SAP BDC and Datasphere implementations.
• Learn how our clients are leveraging innovative development approaches to enhance productivity and reduce project timelines.
• Explore best practices in SAP data modeling and de-normalization for improved accuracy and integration with Microsoft Fabric.
• Understand how adopting AI techniques can unlock new business value and drive faster, impactful outcomes from SAP data initiatives.

National Gypsum Company shares how a long-standing SAP partnership has helped sustain and evolve its SAP landscape for over eight years. In this session, learn how a flexible AMS model—combining onshore, offshore, and scalable expertise—enabled continuous innovation, strong technical governance, and seamless support for complex SAP integrations. The discussion will also highlight how National Gypsum is leveraging AI, data platforms, and predictive analytics to drive smarter manufacturing operations and operational efficiency.

Join this session to understand how Dodge modernized their Data & Analytics strategy with SAP Datasphere during an SAP S/4HANA migration. You’ll see how, after a comprehensive initial assessment, Dodge adopted SAP Datasphere to centralize and streamline our data management process. Learn how we significantly simplified our architecture with a more agile approach while simultaneously getting more access to SAP data than ever before.

You will:

• Learn how a shift from BW to Datasphere enabled a more accurate, stable, and scalable data landscape.
• Understand how Dodge approached the complete rewrite of our ERP data pipelines using a combination of Datasphere and SAP S/4HANA native Extract Load Transform (ELT) functionalities.
• Hear how Dodge was able to achieve a single version of the truth, with increased governance and increased delivery agility.

India’s updated financial record-keeping requirements under the Companies (Accounts) Rules have created new data residency obligations for global organizations operating in the country. These regulations require financial data to be backed up daily and stored on servers physically located within India, a challenge for companies whose SAP landscapes are hosted in Europe or the United States.
In this session, HARMAN shares how it met these requirements without re-architecting its global SAP environment or relying on costly full-system backups. With a large, globally distributed SAP footprint, HARMAN needed a way to isolate and store only the India-relevant financial data required for compliance while avoiding excessive storage growth, network strain, and production impact.

Using EPI-USE Labs’ Data Sync Manager, HARMAN implemented a selective, automated approach that extracts only the required company code data and stores it locally in India. This approach delivered massive storage savings, significantly shrinking the compliance-related backup footprint while also cutting backup runtimes by nearly 90% and eliminating manual effort, all within a secure and auditable process.

Attendees will gain insight into how HARMAN turned a regulatory requirement into a scalable SAP data strategy that balances compliance, cost control, and operational stability. This session provides a practical model for global SAP teams navigating India’s evolving financial data residency rules.

In this session, you will:

• Learn how HARMAN met India’s SAP financial data residency requirements without moving its entire SAP landscape.
• Understand how selective SAP data copying can deliver massive storage savings, reducing compliance-related backup footprints by more than 90%.
• Discover how to automate daily, auditable backups while avoiding production system impact.
• See how regulatory compliance can directly translate into lower storage costs and operational efficiency gains.
• Take away a repeatable approach for global SAP environments facing regional data residency regulations.

Learn how Team Liquid is unlocking AI-driven analytics using SAP Business AI on SAP BTP with SAP AI Core and SAP HANA Cloud to support real-time competitive decision-making. Understand how large volumes of historical match data are used to train models, creating a scalable foundation for AI-driven insight generation. Explore how Team Liquid designed AI agents in Joule that translate natural-language questions into repeatable analytical workflows across historical match data. Gain insight into the company's plans to extend Joule-based AI agents and what this reveals about scaling AI use cases beyond initial deployments.

Note: This lab session is BYOD (bring your own device). A limited number of devices may be available to borrow if needed.
Power is available at the tables. Please connect to the secure event Wi-Fi and test your browser before the session begins.

SAP Business Data Cloud is SAP’s strategic product for data warehousing in the cloud. This hands-on workshop delivers a series of activities focused on SAP Business Data Cloud. In this beginner session, you will learn to use the different components in SAP Business Data Cloud and how to get started leveraging your corporate data and creating your first data model. The session will provide you with hands-on experience in multiple areas of SAP Business Data Cloud.

Key takeaways:

• The ability to get your hands on SAP Business Data Cloud.
• Understanding of the different components of SAP BDC.
• Knowledge of how to get started creating your first BDC data model.

Capacity is limited to 50 participants. If the lab is full, please join the waitlist. Pre-registered attendees should arrive at least 10 minutes before the session to claim their seat. To ensure an on-time start, any unclaimed seats will be released to waitlisted attendees 5 minutes before the session begins. If you’ve preregistered and later decide not to attend, please remove the session from your agenda in the event app so your spot can be offered to the waitlist. Waitlisted attendees should monitor the event app on the day of the lab and be prepared to proceed to the room quickly if space becomes available. Note: To receive waitlist updates, be sure to enable networking and allow push notifications in the app.

Dive into dashboard design and data visualization in a detailed, practical, step-by-step, and ready-to-use way. Understand the key dashboard design rules, such as the usage of different visualization, colors, and text, as part of an overall dashboard design process and find out what to avoid. This best practice, hands-on lab will enable you to take your dashboards to new heights.

In this session, you will:

• Start with a complete run down of best practices for building easy to consume dashboards.
• Get detailed, step-by-step material that you can apply right away as part of your next dashboarding project.
• Uncover the key dos and don’ts that will make your data visualization projects shine.

Most SAP S/4HANA programs struggle not because of tooling, but because data visibility, governance, and reporting break down as organizations move across legacy, transitional, and target landscapes. This session examines how Nordic Naturals chose a data-first transformation approach to its SAP S/4HANA migration, using SAP Business Data Cloud to preserve reporting continuity, improve decision-making, and manage coexistence during a phased transition. Attendees will see why establishing a unified data foundation early helped the team reduce risk and guide migration scope and sequencing. Hear why Nordic Naturals pursued a data-first approach instead of a traditional ERP-led migration and come away with new options to consider as you plan your SAP S/4HANA journey.

This session provides an overview of the core capabilities of SAP Business Data Cloud and a forward-looking view of how the platform is evolving across data management, analytics, and AI. Attendees will leave with a clear understanding of which capabilities are available today, what's coming in the next 12 months, and how BDC supports their data and AI priorities.

Join SAPinsider as we reveal the latest findings from our Intelligence Benchmark report on SAP Business Data Cloud (BDC) use cases and adoption across the SAPinsider community. This session will discuss how, organizations are using and adopting SAP BDC in their SAP ecosystems, how their data architecture and governance readiness aligns with their SAP BDC implementation, the top drivers and barriers to adoption, and which SAP BDC use cases and products are in production. We’ll then have an open discussion, inviting attendees to share their own data modernization experiences, challenges, and lessons learned. This interactive dialogue will help you benchmark your organization’s progress and identify the next steps for advancing your data and analytics journey.

Key takeaways:

• An understanding of where SAP customers are in adopting SAP BDC.
• Insight into how leading organizations are extracting the most value from their data.
• The ability to benchmark your own data and analytics maturity with your peers.

SAP Joule is quickly becoming a core part of SAP’s AI strategy, yet many customers remain unclear on what Joule is designed to do, where it fits within the SAP landscape, and which teams it is intended to support. The session examines where Joule is embedded across SAP applications today, how it supports insight and action without replacing existing tools or roles, and how platform capabilities on SAP BTP enable extension, control, and governance. Attendees will get a clear understanding of who Joule is for, what it enables out of the box, what requires deeper technical engagement, and how to evaluate its relevance for their organization.

Learn how to: 

• Define what SAP Joule does and does not do, including how it differs from analytics tools, workflow engines, and traditional automation.
• Identify which Joule components are relevant to business users, IT teams, developers, and consultants.
• Differentiate how embedded Joule experiences, Joule for Developers, and Joule Studio are used in practice based on role, responsibility, and depth of engagement.
• Evaluate where SAP BTP capabilities, including extensibility and orchestration, become necessary to move beyond standard Joule usage.

Note: This lab session is BYOD (bring your own device). A limited number of devices may be available to borrow if needed.
Power is available at the tables. Please connect to the secure event Wi-Fi and test your browser before the session begins.

This hands-on workshop is designed for practitioners who already have a foundational understanding of SAP Analytics Cloud and want to elevate the quality, performance, and impact of their stories. Participants will work through a series of guided, practical exercises focused on dashboard design and story design, effective use of SAP Analytics Cloud components, and proven best practices for building high-quality dashboards and data visualizations. The session goes beyond introductory concepts to explore design patterns, layout strategies, interaction techniques, and practical tips drawn from real-world project experience. By the end of the workshop, you will have the skills and confidence to design, build, and deliver scalable, business-ready SAP Analytics Cloud stories that drive insight, adoption, and decision-making across the organization.

Key takeaways:

• Proven best practices for building high-quality dashboards and data visualizations.
• Practical story design tips drawn from real-world project experience.
• The skills and confidence to design, build, and deliver scalable, business-ready SAP Analytics Cloud stories.

Capacity is limited to 50 participants. If the lab is full, please join the waitlist. Pre-registered attendees should arrive at least 10 minutes before the session to claim their seat. To ensure an on-time start, any unclaimed seats will be released to waitlisted attendees 5 minutes before the session begins. If you’ve preregistered and later decide not to attend, please remove the session from your agenda in the event app so your spot can be offered to the waitlist. Waitlisted attendees should monitor the event app on the day of the lab and be prepared to proceed to the room quickly if space becomes available. Note: To receive waitlist updates, be sure to enable networking and allow push notifications in the app.

Did you know 95% of generative AI pilots at companies are failing to deliver ROI due to flawed integration? Being recognized as a Leader in both the 2025 Gartner Magic Quadrant for API Management and Integration Platform as a Service, Boomi can help set you up for success when it comes to your SAP agentic transformation. 

Use Boomi for SAP Data Connector to effortlessly move SAP data with Change Data Capture (CDC) and reliably fuel your agentic workflows. Built on the same proven, trusted technology, Boomi’s SAP connector operates at the application layer and is 100% compliant with SAP license usage. Come join our Boomi and SAP experts to see how the connector could work for you!

Join this action-packed session to:

• Effortlessly move SAP data to your cloud data lakehouse by using Change Data Capture (CDC) and fuel SAP agentic workflows.
• Real-World Applications: Hear success stories from customers who use Boomi for SAP to unlock the value of their SAP data.

Faced with the challenge of modernizing a fragmented data landscape, Caleres built a scalable, cloud-native architecture that unified SAP and non-SAP data sources for a future-ready data platform. In this session, we’ll share how we achieved seamless integration across SAP S/4HANA, legacy ECC, and non-SAP systems using SAP Datasphere and Microsoft Fabric. You’ll learn how SAP Datasphere’s ELT capabilities accelerated the creation of our business models, how native data lineage and impact analysis supported governance and transparency, and how maintaining Microsoft Power BI as the reporting layer enabled unified analytics without disrupting our existing workflows. Join us to discover how the strategic architectural choices we made, and the synergy between SAP Datasphere and Microsoft Fabric, delivers near real-time insights, ensures governance, and optimizes cloud spend while minimizing disruption.

You’ll Learn:

• How we integrated SAP S/4HANA, ECC, and non-SAP data into Microsoft Fabric for unified analytics.
• Techniques for accelerating time to value using ELT modeling and real-time data availability.
• Ways to leverage SAP Datasphere’s advanced features to enhance data quality and usability.
• Strategies we deployed for ensuring reliability and cost efficiency in daily operations and cloud architecture.

Norfolk Southern’s journey to modernizing enterprise reporting is driven by strategy, innovation, and a commitment to deeper insights. This session explores how we integrated SAC, Datasphere, and Databricks into a seamless, scalable architecture that meets evolving business needs while laying the foundation for a smarter, faster, and more connected future. Hear how our evolution began with the successful implementation of SAP Analytics Cloud (SAC), which delivered intuitive dashboards, real-time analytics, and self-service reporting to our business users across key functions, including finance, operations, and supply chain. We’ll share how our transformation continues as the demand for unified, intelligent data grows. 

Key takeaways:

• Real-world insight into how the adoption of SAP Datasphere and Databricks marks a strategic shift for our organization. 
• An understanding of how we moved beyond a technical upgrade to break down data silos, enhance AI-driven analytics, and establish a single, governed source of truth for enterprise-wide reporting.
• A look at where what’s next in our data transformation journey.

Strap in for a journey through the vast, often chaotic universe of Enterprise Data Architecture. In this session, we’ll demystify core architectural principles that every organization must grasp to navigate data complexity at scale. 

From legacy gravity wells to cloud-native wormholes, we’ll explore the real-world patterns and learn how to design resilient data architecture that evolves with your business - not against it. We will weave together stories and characters from Douglas Adam’s book ‘The Hitchhiker’s guide to the galaxy’ and cover topics that are top of the mind for SAP customers like navigating BW modernization and maximizing the value from their business data with AI and ML.  Get ready for the for the ride!

In this session, you will:

• Discover core architectural principles essential for navigating data complexity at scale in today’s enterprise environments.
• Learn how to build resilient data architectures that adapt and evolve with your business instead of working against it.
• Gain practical insights from real-world SAP use cases on legacy modernization, cloud-native design, and future-ready data platforms.
• Explore how to maximize business value from data by integrating AI and ML into your enterprise data architecture strategy.

Moving enterprise data to the cloud presents a transformative shift in the way data is managed, accessed, and leveraged. However, there are a number of challenges to understand and overcome. This session will move beyond the hype to explore the top five tangible opportunities and associated challenges that data professionals must navigate to ensure a successful cloud data strategy. We’ll dig into the opportunities, like how the cloud unlocks scalability and flexibility and enables real-time analytics, and then dive into the critical challenges that come with this evolution including security and compliance, cost, governance, and more. 

Key takeaways:

• Expert advice on navigating the key challenges managing data in the Cloud.
• Insight into the other side of the coin - the unique opportunities that the Cloud presents.
• Answers to your toughest data in the Cloud questions.

SAP Business Data Cloud provides the trusted data foundation required for enterprise AI. In this session, you’ll learn how SAP brings together governed data products, the SAP Knowledge Graph, and SAP Databricks to enable AI use cases for end-to-end business processes.

Are you curious how to better navigate and leverage the underlying financial (FI) data structures in both ECC and SAP S/4HANA? Join this session to discover how to locate where FI data is stored and link the raw SAP data with what your end users see to ultimately enhance financial reporting. 

You will: 

• Identify the key tables where FI data is stored in both SAP S/4HANA and ECC Understand the consolidation of ECC tables in SAP S/4HANA Link the data behind the scenes to the data that your end users can display. 
• Expand your ability to quickly write specifications for custom report development using Report Writer, ABAP or BI by leveraging your knowledge of tables. 
• Learn to quickly troubleshoot complex FI process by going behind the scenes to investigate the raw SAP data, without being hindered by the limitations of standard FI reports. 
• Understand how to cross reference the tables using the key fields of SAP-GL.