Introducing SAP Business Data Cloud

Objective

After completing this lesson, you will be able to describe the key functionality of SAP Business Data Cloud in relation to data analytics.

What is SAP Business Data Cloud?

In this lesson, we introduce you to SAP Business Data Cloud. SAP Business Data Cloud is a Software-as-a-Service solution equipped with data and analytics services. With SAP Business Technology Platform providing foundational services, SAP Business Data Cloud combines strategic solutions such as SAP HANA Cloud, SAP Datasphere, and SAP Analytics Cloud and their respective capabilities into one single solution.

SAP Business Data Cloud

Organizations that run SAP applications have collected a huge amount of extremely valuable data that spans all business processes. These organizations are keen to use their SAP data to develop advanced analytics and build AI-based applications.

But organizations that run SAP applications face some challenges to access their SAP data. They have asked SAP for:

Infographic illustrating factors influencing business decisions, such as Finance, Sales, Data Management, Supply Chain, Analytics, and Insights. It highlights SAP customers' needs, including easier access to data, unified views, and AI readiness.
  1. Easier access to their SAP data without the need for complex data preparation steps.
  2. Access to all SAP data from all Line of Business (LoB) applications, such as SAP S/4HANA, SAP SuccessFactors and SAP Ariba.
  3. A unified business view of their data regardless of which SAP application it originated from.
  4. A trusted and secure data foundation that they can use to build reliable AI applications.
  5. Provide business users with ready-to-use intelligent applications so they can get started quickly gaining insights using their data.
  6. Reduced complexity of their data management landscape by using fewer technologies and tools.

SAP Business Data Cloud (SAP BDC) was developed to address all of these customer requirements.

Realizing our vision by bringing together applications, data, and AI. SAP is uniquely positioned to lead companies into this new era of enterprise management. SAP Business AI (Joule, SAP Foundational Model, and SAP Knowledge Graph), SAP Business Data Cloud (one semantic layer, Data Products), and SAP applications that are comprehensive, modular, and extensible.

SAP BDC is a data platform that harmonizes all data from SAP and non-SAP sources, into a unified semantic layer of trusted data, to power advanced analytics and to build AI applications.

By integrating all types of cross-company data, which includes structured - for example, transactional and master data, and non-structured data - for example, emails, businesses collect actionable intelligence to bridge transactional processes and drive AI-powered growth.

SAP Business Data Cloud diagram includes the SAP Data Fabric (business semantics, analytics and planning, data engineering and ML, BW modernization), and the SAP Business Data Cloud Intelligent Applications (third-party apps, 360 degree analytics and extended planning).

SAP BDC is a Software-as-a-Service (SaaS) solution fully managed by SAP. Customers purchase a subscription to consume the cloud services of SAP BDC.

Data Products

One of the most important innovations of SAP BDC are the data products.

A description of data products highlighting the key benefits.

Data products are ready-to-use data sets provided and managed by SAP. Data products represent business subjects or entities such as customer, product, or sales invoice. Data products contain not just one field of data, but all the fields required to form a complete data set. Data products support transactional and master data, but very importantly, all data products include the essential meta-data that describes the meaning of the data. A data product also includes descriptive information that is used by business users for discovery. Data products cover all source applications across the entire SAP ERP and LoB application range.

By providing out-of-the-box data products, SAP has addressed the challenge of providing customers with easy and fast access to their SAP data.

Data products are fully managed by SAP which means the data replication from the source system to the SAP BDC storage is handled by SAP. Customers select the required data products from a user-friendly cockpit. They are easily installed by customers with just a few clicks. The need for customers to build complex data pipelines to pull data from SAP applications is no longer needed.

Software Components of SAP Business Data Cloud

SAP BDC combines existing best-of-breed SAP solutions with new software components.

SAP has taken its two flagship data management and analytics solutions, SAP Datasphere and SAP Analytics Cloud and they have embedded SAP Databricks. SAP has also provided the opportunity for customers to include their existing SAP BW in their SAP BDC landscape.

Let's list the software components of SAP BDC.

The existing SAP solutions that are part of the architecture of SAP BDC:

  • SAP Datasphere - to provide the data integration and modeling layer
  • SAP Analytics Cloud - to provide the analysis layer
  • SAP BW - if a customer already has SAP BW, this can be used as a data source.

The new software components of SAP BDC:

  • SAP Databricks - to provide AI and machine learning development tools.
  • SAP BDC Foundation Services - to manage the data products in a single domain model.

SAP BDC is not a replacement for SAP Datasphere or SAP BW. SAP BDC is a super-set of those solutions and adds many more capabilities including machine learning and AI development. SAP Datasphere is an essential component of SAP BDC. SAP BW, if required, can also play an important role in SAP BDC. SAP BDC is an evolution of the data fabric that SAP began developing with SAP Datasphere.

Single solution for diverse audiences and use cases

SAP BDC can handle many use-cases including:

  • Development of AI and machine learning models
  • Data Warehousing
  • Planning and BI
  • Data Governance and Compliance
  • Development of intelligent applications to support all business processes.

SAP BDC is built to serve all personas of the organization.

A list of personas that apply to SAP Business Data Cloud

End-to-end data lifecycle managed by SAP

SAP BDC integrates and harmonizes data from all SAP line-of-business solutions (LoBs) such as SAP S/4HANA, SAP SuccessFactors, Ariba, Concur, and Fieldglass. SAP takes care of ensuring the data from all source applications is replicated to SAP BDC in real-time so this is no longer the responsibility of the customer.

In the past, customers had to take care of preparing the SAP data and combining it before it was ready for use in analytic scenarios. Customers can now invest their time and money on added-value projects such as delivering AI solutions, and not on time-consuming preparation of data from the various SAP applications.

One Domain Model

Data from all SAP applications is combined and made available to the business user under a single domain model. This means that in cases when different SAP applications define the same business entity, for example, customer or employee, SAP BDC brings them together under one new domain. This means that the business users do not need to care about where the data originates, because they only work with one harmonized definition of the entity. All valuable meta data from the source systems is also collected and stored with the entity so no business meaning is lost during the replication to SAP BDC.

Fast Access to Insights with SAP Content

A key deliverable of SAP BDC are the ready-to-run analytics known as Intelligent Applications.

A dashboard displaying financial metrics for Accounts Receivable including days sales outstanding, total receivables, overdue receivables, and future receivables. Joule AI summary predicts open payables by payment date.

Intelligent Applications are based on predelivered artifacts and objects that may remind you of the well-known SAP-delivered business content in SAP BW/4HANA, SAP Datasphere, or SAP Analytics Cloud. But there's a significant difference to the existing concepts. Unlike before, all artifacts, objects, and business data for a ready-to-consume full-stack application are included, and are fully managed by SAP. Specifically, here is what happens when you install an Intelligent Application:

  • Automated generation of dashboards, the underlying data models and the data pipelines from SAP source applications.
  • Automated data provisioning from data source to dashboard to ensure real-time data is provided to the business user.
  • Automated generation of roles that can be assigned to authorized business users.

With just a few clicks, an Intelligent Application is installed and is ready to use by the business user who can get started quickly gaining insights from their SAP data. SAP is responsible for the end-to-end delivery and ongoing maintenance of the Intelligent Applications. There is no need for the customer to manage the initial and ongoing data replication from their SAP source applications, this is taken care of by SAP as a fully managed service. Installing an Intelligent Application is a straight-forward business administrator task and no longer a specialized IT task.

As well as the delivered out-of-the-box Intelligent Applications, SAP Business Cloud also provides the tools to develop your own analytical applications using custom data extraction, data models, and dashboards, integrating data from any SAP and third-party sources.

Built on SAP Business Technology Platform

SAP BDC is built on SAP Business Technology Platform.

SAP Business Data Cloud is built on SAP Business Technology Platform.

This means IT teams will already be familiar with the infrastructure and technology of SAP BDC.

Many of the services of SAP Business Technology Platform are used in SAP BDC, for example:

  • Unified Customer Landscape (UCL) used to connect the SAP BDC components, such as SAP Datasphere and SAP Analytics Cloud.
  • SAP HANA Cloud provides the data storage and compute layer.
  • Security and Compliance to manage access and permissions and regulatory compliance.
  • SAP Build to provide developer tools to build your own applications on SAP BDC data.

Architecture of SAP Business Data Cloud

SAP Business Data Cloud architecture diagram with different interconnected components presented in the following text.

As illustrated in the graphic, the SAP Business Data Cloud system landscape consists of different interconnected components. Each component plays an important role in SAP Business Data Cloud, with specific tasks that are outlined in the following sections.

Foundation Services

Data from your SAP source applications is replicated to the Foundation Services of SAP Business Data Cloud. This data is then harmonized with other relevant business data from other applications. It is then transformed and enriched to become a data product.

SAP Datasphere

At the heart of SAP Business Data Cloud is SAP Datasphere, which provides the foundational models on top of the data products. The models are provided by SAP to support the predelivered Intelligent Applications but custom data models can be added. SAP Datasphere also serves as a central tool for managing analytical roles and data access control, helping you to determine which business users can view specific data.

SAP Databricks

SAP Databricks is used to enrich your SAP data using AI and machine learning. SAP Databricks provides data scientists with a comprehensive set of tools for data engineering projects. SAP Databricks is the embedded version of Enterprise Databricks and has been specially developed through the partnership with SAP and Databricks to bring data science tooling to SAP BDC customers who do not already run, or plan to run, the Enterprise version of Databricks.

SAP BW, private cloud edition

Customers who run SAP BW can include it in the landscape of SAP BDC. The approach means that customers can onboard their BW data into SAP Business Data Cloud, allowing it to be used to generate data products.

SAP Analytics Cloud

SAP Analytics Cloud stories are used to provide the required dashboard in out-of-the-box reporting scenarios with SAP Business Data Cloud Intelligent Applications. With its advanced visualization and planning functions, SAP Analytics Cloud serves the business user as a central tool for exploring the requested business insights or executing planning functions. Furthermore, using SAP Analytics Cloud, business users can run ad-hoc analysis, explore the provided data with AI-driven chat capabilities, or act on their insights with AI-driven suggestions, bridging the gap between analytics and their end-to-end business processes.

SAP Business Data Cloud Cockpit

The SAP Business Data Cloud cockpit has an important role in the overall SAP Business Data Cloud landscape. With this tool you can browse and find predelivered Intelligent Applications and data products, install Intelligent Applications, and share data products with SAP Databricks to be able to extend them with AI, and machine learning capabilities.

Exploring Joule's Capabilities

In today’s fast-moving workplace, employees face increasing demands - more complexity, tighter timelines, and higher expectations. Switching between systems and searching for data often slows things down. Joule was created to change that.

Joule is SAP’s generative AI copilot that helps people work smarter. It brings intelligence, automation, and contextual insights directly into business processes, reducing friction and freeing up time for higher-value work.

What is Joule?

Joule is built into all major SAP applications and available wherever you work. With a single click, or a simple prompt, you can ask Joule to handle everyday tasks, find data, or explain insights. Joule currently supports over 1,800 capabilities across SAP systems, covering around 80% of the most common business transactions.

Joule in action for business users. Joule can perform thousands of everyday tasks - such as entering time off, reviewing invoices, or managing deliveries - through simple natural language. Most users see productivity gains of around 30%. And with Joule Studio in SAP Build, organizations can even create custom skills tailored to their workflows and industries.

Explore More: To see Joule in action and learn how to get started, explore the Joule End-User Enablement Guide. This interactive handbook provides an end-user overview, practical examples, and sample prompts to help you make the most of SAP’s AI copilot across applications.

Joule for consultants and developers. For consultants and developers, Joule is more than an assistant, it’s a partner. It provides on-demand guidance during design, implementation, and customization, and can even generate or optimize code snippets. This helps teams deliver solutions faster, with fewer manual steps and greater accuracy.

Joule Agents

Intelligence that Scales. Beyond individual tasks, Joule coordinates intelligent agents that work together across departments. From automating workflows, sharing data, and optimizing decisions in real time. This means HR, finance, supply chain, and IT no longer work in silos but as one connected ecosystem.

Joule for Every Role

Joule adapts to the needs of every user, offering the right support, in the right context:

  • CHROs: Accelerate hiring, improve engagement, and deliver personalized employee experiences.
  • CFOs: Automate financial processes, enhance compliance, and improve cash flow visibility.
  • COOs: Optimize logistics, forecasting, and inventory planning in real time.
  • Developers: Generate and validate code faster and streamline app development.
  • Consultants: Access instant insights and documentation, cutting research and project delivery time.

Note

The analytical insights capability in Joule, powered by SAP Analytics Cloud, allows business users to explore their data and gain insights into their business. Joule itself is not available in SAP Analytics Cloud, but instead users can ask questions to the Joule analytic insights feature from other SAP products that have enabled this capability.

Additional Learning

SAP Business Data Cloud and its associated data engineering and data analysis components (including the new Intelligent Applications) are covered in more detail in the Introducing Business Data Cloud course.