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 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.

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.

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.

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.

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.

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.

This session explores how to leverage SAP AI Core and SAP BTP to enhance analytics and intelligence within your SAP S/4HANA landscape. Walk through a live demo to see how to build and operationalize machine learning models using tools like Python and R on SAP HANA data. Get actionable insights to integrate these models into operational workflows to enable intelligent automation, support smarter decision-making, and drive continuous improvement across your SAP S/4HANA environment.

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.

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.

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.

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.

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.

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 benchmark research on data and analytics maturity across the SAPinsider community. This session will discuss how, even in today’s digital-first environment, only a small fraction of organizations have reached transformational maturity in their data and analytics capabilities. We’ll explore how leading organizations are using modern data strategies and technologies, including SAP Business Data Cloud, and how these investments translate into measurable business outcomes and improved KPIs. You’ll gain insight into the stages of maturity and learn what differentiates the leaders from those still struggling to extract full value from their data. 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 on the data maturity curve.
• 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.

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.