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.

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 do’s and don’ts that will make your data visualization projects shine.

This session offers an inside look at how Girteka Group built a future-ready foundation to support cross-functional modernization, centralized decision-making, and a more connected workforce. Explore the company's end-to-end transformation journey as it replaced fragmented legacy systems with a unified SAP landscape powered by SAP S/4HANA, SAP Analytics Cloud, and SAP SuccessFactors. Gain project management best practices, from aligning business and IT through agile delivery, to driving user adoption, managing change, and tracking success through clearly defined KPIs. Come away with real-world lessons on managing project complexity, driving adoption, and planning for future innovation.

Treasury teams need real-time visibility and automated forecasting to manage liquidity effectively and avoid costly financial risks. In this session, hear from Maersk, the world’s largest container shipping company, on how they implemented a predictive and prescriptive liquidity forecasting solution leveraging SAP Analytics Cloud capabilities to eliminate unreliable manual work and improve data visibility. Leave with a real-world example of how to automate “no touch” case flow forecasting, identify customer payment patterns, and optimizing investment decisions.

Discover the strategic decisions and practical methodologies behind Nintendo's seamless SAP S/4HANA conversion and near-silent go-live. Learn how a dual-track migration of ERP and BW, executed by a single project team on a shared timeline and budget, helped optimize resources and maintain system alignment. Hear how Nintendo mapped its landscape early to reduce risk and applied a unique 'feeling into it' approach to simplify complexity and support user adoption. Come away with lessons to ease common concerns and prove that, with the right planning, an SAP S/4HANA transition can be smooth, efficient, and cost-effective. But don't wait, delaying can be costly.

Maxion Wheels, a global manufacturer of steel and aluminum wheels for cars, trucks, and agricultural equipment, decided to implement SAP Datasphere to centralize its data for their end users who used Tableau for daily reporting. However, the challenges that the company faced were two-fold. While the company wanted to create a single version of truth for all the domains across the company and integrate 20 years of legacy data, they were also discussing the possibility of SAP S/4HANA migration for ECC, which made the task more challenging. In this session, Maxion Wheels, one of the first companies who invested and implemented SAP Datasphere, will share its SAP Datasphere journey and will provide valuable insights and recommendations for other organizations planning to transition their data warehouses to the cloud. By drawing on their experiences, Maxion Wheels aims to shed light on key considerations, best practices, and essential points to be mindful of throughout the migration process.

You will:

• Examine the key considerations for SAP Datasphere implementation.
• Explore the integration of legacy ECC versions with SAP Datasphere and integration of third-party applications like Tableau with SAP Datasphere.
• Learn how to overcome challenges when deviating from expected patterns (ECC integration instead of SAP S/4HANA and SAC integration).
• Understand the components of an effective project management for a successful SAP Datasphere implementation.

The session illustrates the principles underlying the Data Mesh approach and shows how a modern cloud-based data landscape can succeed in conjunction with the Data Fabric in the specific use case of SAP Datasphere. It is based on the practical implementation of such an architecture variant.​ ​

You will:​

• ​Learn the principles of Data Mesh: Domain-oriented ownership, Data-as-a-product, Self-serve data platform and Federated computational governance.​
• Understand how the Data Fabric architectural approach can work together with Data Mesh.​
• Gain an overview of which components of these two approaches can be implemented with SAP Datasphere.

Understand considerations for consuming SAP S/4HANA embedded analytics via SAP BusinessObjects tools, SAP Fiori, and SAP BW. Learn how to extend SAP-delivered core data services (CDS) views and build your own. Learn how to extend SAP-delivered core data services (CDS) views and build your own. Come away with a useful list of education options to help train your team on SAP S/4HANA analytics.

You will:

• Understand considerations for consuming SAP S/4HANA embedded analytics via SAP BusinessObjects tools, SAP Fiori, and SAP BW.
• Learn how to extend SAP-delivered core data services (CDS) views and build your own.
• Learn how to extend SAP-delivered core data services (CDS) views and build your own.
• Come away with a useful list of education options to help train your team on SAP S/4HANA analytics.

In this workshop you dig into SAP Datasphere, SAP Analytics Cloud, and SAP Analytics Cloud Analytics Designer to experience first-hand what makes these three options a powerful combination for SAP Analytics strategy. Start by creating a data model in SAP Datasphere, then learn how to leverage that model in SAP Analytics Cloud as well as SAP Analytics Cloud, Analytics Designer.​

You will:

• Understand the key differences between SAP Analytics Cloud and SAP Analytics Cloud, Analytics Designer. ​
• Dive into the details on how these three experiences work together so you can provide your end-users with a self-service analytics platform. ​
• Experience live SAP Datasphere, SAP Analytics Cloud, and SAP Analytics Cloud, Analytics Designer and learn how you can leverage your SAP data and provide more insights. ​
• Step through hands-on exercises that take you from simple data to an analytical model in SAP Datasphere and from simple charts to interactive stories and being able to just communicate with your data.

Organizations that rely on SAP Business Warehouse (SAP BW) can face challenges modernizing it to meet today’s data and AI demands. This session explores how SAP Business Data Cloud (SAP BDC) offers a path forward. Learn how to minimize migration risks, preserve existing objects in SAP BW, and deliver the objects as managed data products and intelligent applications while utilizing the latest data and AI capabilities in SAP BDC.

As SAP continues to evolve its data and analytics strategy, customers running SAP BW 7.5 or SAP BW/4HANA face a critical opportunity to modernize their data foundation. This session will explore how SAP Business Data Cloud can extend, complement, and eventually transform your SAP BW investment—bringing greater agility, openness, and innovation to your enterprise data landscape.​ Whether you are planning a gradual transition or looking to enhance your existing SAP BW capabilities with broader integration and planning features, this session will give you the clarity and guidance you need to move forward with confidence.​ ​

You will: ​

• Learn how SAP Business Data Cloud enhances and coexists with your current SAP BW landscape—no rip-and-replace required.​
• Discover strategic transition paths from SAP BW to a modern, open data foundation.​
• Get practical insights on leveraging SAP BW models and logic within SAP Datasphere and SAP Analytics Cloud.

Get a first look at what’s next for SAP Business Data Cloud (SAP BDC). This session provides a strategic overview of SAP BDC latest innovations, including new data products, business data fabric capabilities, and deeper integration with SAP Business AI. Come away with a tailored plan on how to get started depending on your current data and application landscape.

As organizations race to scale AI and automation, the need for unified and reliable data is more urgent than ever. This session examines how business data fabric connects SAP and third-party data data across multiple clouds and platforms to provide clean, connected, and context-rich data for AI. Explore the key capabilities and how it enables trusted data for analytics, data integration, and more.

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.
• 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.