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Unlocking the power of data with SAP Business Data Cloud and Databricks

Frank Gundlich and David Allison
14 Apr 2025

ѻý, a data- and analytics-first organization and global launch partner for SAP Business Data Cloud (BDC), understands the value of integrating data and AI foundations from the earliest stages of a business transformation.

With the recent acquisition of Syniti, we further empower organizations in utilizing data and AI as the cornerstone of their business transformation.

Enterprises across the globe are leveraging data and AI to drive insights, enable intelligent processes, and foster innovation to improve customer intimacy, drive new routes to market, expand business models, and reduce total cost of ownership (TCO).

As businesses strive to stay competitive, the integration of advanced data management and AI capabilities becomes paramount. SAP, a leader in enterprise software, has taken a significant step forward with the launch of SAP Business Data Cloud and the SAP Databricks solution, propelling them ahead of their competitors with a 360-degree view of enterprise data and AI.

The importance of data in business transformation

SAP has long been at the forefront of helping businesses manage their data. With the introduction of SAP Business Data Cloud, SAP is redefining how enterprises harness their data. The SAP Business Data Cloud solution unifies and governs all SAP data while seamlessly connecting with third-party data. By integrating SAP Datasphere, SAP Analytics Cloud (SAC), and SAP Business Warehouse (BW) alongside Databricks, SAP Business Data Cloud delivers a unified experience that empowers businesses to make informed decisions.

SAP Business Data Cloud: A new era in data management

SAP Business Data Cloud represents a paradigm shift in enterprise data management. Together with ѻý’s data-first methodology, it provides a trusted and harmonized data foundation, ensuring high-quality data that businesses can rely on. This foundation is crucial for driving impactful decisions and fostering innovation.

One of the standout features of SAP Business Data Cloud is its ability to deliver fully managed SAP data products across all business processes. These curated data products align with a highly optimized and unified “one domain” model, maintaining their original business context and semantics. This means businesses get immediate access to high-quality data without the hidden costs of rebuilding and maintaining data(base) extracts.

Additionally, SAP Business Data Cloud offers a suite of pre-built analytical applications, known as ѻý Apps. As a global launch partner for SAP Business Data Cloud, ѻý has been working closely with SAP and partners like Syniti, Databricks, and Collibra to integrate our knowledge into these apps. Insight Apps incorporate pre-defined metrics, AI models, and planning capabilities, simplifying how businesses connect and integrate every part of their operations. This accelerates use cases aligned with critical business functions, including ERP, spend, supply chain, HR, customer experience, and finance.

SAP Databricks: Enhancing AI and data engineering

As a Databricks Partner of the Year award winner, we are excited by the integration of Databricks into SAP Business Data Cloud, as it marks a significant milestone in enterprise data management. This partnership brings the power of Databricks directly into the SAP ecosystem, enabling businesses to leverage advanced data engineering and AI capabilities to support the integration of SAP data into the enterprise ecosystem, both internally and externally.

Databricks empowers data professionals to accelerate AI models and generative AI applications on their business data. Native capabilities like Delta Sharing harmonize SAP data products with existing lakehouses bidirectionally. This zero-copy approach allows businesses to apply advanced AI and machine learning models to various use cases, such as predicting payment dates on open receivables, without the need for complicated ETL pipelines.

Moreover, SAP Business Data Cloud with the included Databricks capabilities facilitates the modernization of SAP Business Warehouse, providing additional migration options for existing BW customers under one license. On-premises SAP BW customers can easily transition to an SAP BW Private Cloud Edition, accessing their data as a data product with the object store via Delta Share. This simplifies the modernization journey and maximizes the value of existing SAP BW investments.

Driving innovation with AI and machine learning

AI and machine learning are at the heart of SAP’s new offerings. The integration of Joule AI Copilot into SAP Business Data Cloud exemplifies this commitment. Joule AI leverages a knowledge graph to connect data, metadata, and business processes, enabling AI agents and large language models (LLMs) to understand data within its business context.

This mapping creates clear data links, making insights more reliable for users and applications. Training AI agents and Joule on business knowledge and context drives increased productivity. For instance, users can use AI to complete cross-functional tasks, uncover insights, and summarize critical information across the business – without heavy reliance on IT support. This empowers the usage of AI to automate complex analytics and planning tasks, such as risk assessment, forecasting, and other advanced scenario simulations.

Partner ecosystem and open data integration

SAP Business Data Cloud is built to prioritize openness and customer choice. It supports an open data ecosystem, integrating natively with leading data and AI partners like Collibra, Confluent, and DataRobot. This openness simplifies the data landscape and unleashes transformative insights from all data sources.

SAP has also announced partnerships with the likes of ѻý. These partners bring deep business process and industry domain expertise, building insight apps on SAP Business Data Cloud. From data enrichment to data activation, partner insight apps build on top of the data products and core services provided by SAP Business Data Cloud.

Conclusion

Data is the lifeblood of modern enterprises. It fuels decision-making, drives operational efficiency, and enables businesses to respond swiftly to market changes. For many organizations, this means integrating data from various sources, ensuring that it is high quality, and applying advanced analytics and AI to uncover hidden patterns and trends.

The launch of SAP Business Data Cloud and SAP Databricks marks a new era in enterprise data management. By unifying and governing data, integrating advanced AI capabilities, and fostering an open data ecosystem, SAP is empowering businesses to unlock the full potential of their data. As enterprises continue to navigate the complexities of digital transformation, these new offerings provide a robust foundation for driving innovation, enhancing decision-making, and enabling intelligent, AI-driven processes.

Author

Frank Gundlich

Global Head SAP Data & AI
Fuelled by a deep passion for SAP Data & AI, Frank leads with a unique blend of strengths that turn vision into reality. As an activator, maximizer, and futurist, he thrives on driving innovation, elevating performance, and shaping bold strategies that push the boundaries of what’s possible in data transformation.
David Allison

David Allison

European SAP Data & Analytics Lead
As ѻý’s SAP Data & Analytics lead for Europe David works closely with his clients to integrate a data first approach to SAP that sets the foundation for enabling intelligent processes with data from across the ecosystem, both internally and externally.