If data in your organization is scattered across multiple systems, reports take a long time to generate, and business teams have limited access to information – this blocks the real use of AI and analytics. Investments in new tools will not help if there is no consistent data foundation: a single source of truth (one point of truth).
Challenges companies face with data
Everyone wants to have an AI strategy.
Few start with a data strategy.
In practice, it is precisely well-organized, integrated, and timely accessible data that determines the effectiveness of projects using artificial intelligence and modern analytics. Even the most advanced algorithms will not deliver business value if the organization cannot connect information from different sources, give it context, and make it available to users simply and securely.
That is why organizations today face very specific challenges. And the answer to them is SAP Business Data Cloud.
What is SAP Business Data Cloud
SAP Business Data Cloud (SAP BDC) is more than just a collection of applications. It is a fully managed data platform in the SaaS model that enables organizations to unify, manage, and leverage business data from SAP systems (e.g., ERP, SAP S/4HANA) as well as external sources in one consistent environment. The solution provides a foundation for advanced analytics, planning, and artificial intelligence use cases based on reliable business data.
Federation instead of replication
Data analysis without physically copying data into a single database.
Preservation of business context
Data is shared together with its business logic and structure.
Openness to other systems
Integration with other platforms (e.g., Databricks, Google BigQuery, AWS).
Foundation for artificial intelligence
Well-organized, high-quality data prepared for AI and analytics.
What SAP Business Data Cloud consists of
Natively integrates with AI and data engineering solutions, including the Databricks environment
In practice, SAP BDC serves as a unified enterprise data layer – combining a data warehouse, lakehouse, analytics,
planning, and AI/ML capabilities – enabling faster decision-making and the development of data-driven initiatives
across the organization.
planning, and AI/ML capabilities – enabling faster decision-making and the development of data-driven initiatives
across the organization.
Open the data to new possibilities in analysis and reporting.
5 benefits of SAP Business Data Cloud
Single source of truth for data
Thanks to its Data Fabric architecture, SAP Business Data Cloud connects all sources (legacy SAP systems, Salesforce, HR systems, traditional Excel files) in one environment, eliminating silos – enabling a faster, complete view of business processes based on up-to-date data.
Real use of AI and advanced analytics
SAP Business Data Cloud creates a solid technological foundation for AI/ML models at scale – from demand and cash flow prediction to process automation. Native integration with Databricks through zero-copy sharing and MLflow allows organizations to move from experiments to real business outcomes, such as faster anomaly detection or inventory optimization. With unified data from Datasphere and Analytics Cloud, AI delivers real value, shortens time to ROI, and supports data-driven decisions in Polish companies.
Data with business context
The platform combines raw operational data with the semantics of business processes, creating understandable models for decision-makers. This makes it easier to identify hidden relationships, risks, and new opportunities.
Modernization and cloud migration
Smooth and secure migration from legacy systems to the SAP BDC cloud reduces IT infrastructure costs, and the use of ready-made “Data Products” significantly shortens the time to deploy new solutions.
Security and scalability
A well-organized, clean, and secure data environment (Data Governance) that is fully ready to power advanced analytical models and AI algorithms.
“Implementing SAP BDC reduces report generation time from days to minutes – data from S/4HANA and external sources gains a consistent business context, improving forecast accuracy by over 60%.”
Krystyna Kabsch, SAP BI Consultant
Example use case: Intelligent Working Capital Application
Thanks to unified data semantics, you can access reports with a single click. The Working Capital application analyzes:
- Working capital over time.
- Average payment period (accounts payable).
- Opportunities for supplier negotiations.
- DSO (Days Sales Outstanding).
Example questions:
- What is the DSO in my company?
- Where can financial liquidity be improved?
Our offer
Analysis of migration scope and integration of SAP Analytics Cloud and SAP Datasphere with SAP Business Data Cloud
Training on SAP BDC Cockpit (Data Products, Intelligent Application), SAP Datasphere, and SAP Analytics Cloud
Creation of customized Data Products tailored to client needs
Reporting and planning in SAP Analytics Cloud, support for intelligent applications
Development of artificial intelligence models using Databricks
Support in migrating SAP Business Warehouse to SAP Business Data Cloud, including transformation of complex BW objects into SAP Datasphere views
Why trust Apollogic experts?
We combine data strategy with hands-on experience in SAP projects
We support companies in fully leveraging the potential of SAP Business Data Cloud – from architecture to AI implementation.
Experience in the SAP ecosystem
We know how to work with SAP Business Warehouse, SAP Datasphere, and SAP Analytics Cloud. We build consistent, scalable analytics environments that support accurate business decisions.
Integration with Databricks
We use Databricks to integrate SAP and non-SAP data, enabling real-time analytics and AI/ML solution development.
Modern Data Stack and AI
We build efficient cloud and hybrid architectures and implement AI solutions based on SAP Business Data Cloud – from automation to predictive models.
FAQ
SAP Datasphere is the core of the platform, focusing on integration, modeling, and federation of data from various SAP and external sources, with an emphasis on business semantics. SAP Business Data Cloud (BDC) is a comprehensive SaaS platform that combines Datasphere with SAP Analytics Cloud (SAC), SAP BW, and AI tools such as Databricks in a single subscription model – simplifying management and scalability.
The exact cost of implementing SAP Business Data Cloud depends on many factors, including the required number of Capacity Units, the volume of data to be processed, and the scope of migration and integration.
To receive a customized quote tailored to your company, please contact us.
SAP Business Data Cloud enables secure sharing of SAP and non-SAP data with the Databricks environment without the need for copying (zero-copy). This allows faster building and training of predictive models, for example for cash flow or demand forecasting.
Integration with MLflow enables management of the entire model lifecycle – from experimentation to production deployment. The integrated lakehouse architecture simplifies data access and automates analytics, shortening the implementation time of AI projects.
Do you want to leverage the potential of SAP Business Data Cloud?
Call us or send a message
