What is SAP Business Technology Platform (BTP)?

The SAP Business Technology Platform (BTP) is SAP’s technology and innovation platform. It combines five key areas—integration, application development, automation, artificial intelligence, and data management and analytics—within a unified cloud environment. As a Platform as a Service, SAP BTP aims to maximize the potential of SAP landscapes and accelerate innovation.

SAP BTP enables businesses to:

• Integrate SAP and non-SAP applications, data, and AI across system boundaries in real time.
• Quickly develop new applications and extend existing ones in a clean-core-compliant manner.
• Analyze, flexibly optimize, and easily automate processes.
• Leverage data intelligently and in the right business context for processes and decision-making.
• Embed artificial intelligence into business processes.
• Accelerate overall digital transformation.

Many businesses struggle with overly complex system landscapes due to custom developments implemented directly into the software core. Upgrades become highly resource-intensive, innovation is difficult to achieve, and adapting and optimizing processes takes significant time and lacks flexibility. Data is often isolated in various systems, making its analysis and targeted use challenging. SAP BTP addresses all these pain points with its extensive capabilities and strengths.

Integration & Extension
SAP BTP integrates all systems, applications, data, and AI into a unified, secure cloud environment.
It provides a variety of development and integration services, such as SAP Integration Suite and SAP Extension Suite, allowing companies to build custom applications and connect and extend existing systems. SAP Build Code makes clean-core extensions for SAP S/4HANA processes easier.

Application Development & Process Automation
With SAP BTP, businesses can map new processes, improve efficiency, and adapt systems to changing circumstances. This is achieved through an intuitive development environment and the no-code/low-code tool SAP Build, which even allows employees in business departments without deep programming knowledge to develop applications and automate processes—across system and application boundaries. This reduces the burden on IT departments and alleviates application backlogs.

Tools, Services & Ready-to-Use Content
SAP BTP facilitates rapid innovation through a comprehensive set of tools and services as well as preconfigured business content. Standardized connectors and APIs support the integration of both SAP and non-SAP systems.

Artificial Intelligence
As part of SAP’s AI portfolio, SAP BTP simplifies the use of AI in business processes. With the AI Foundation and Generative AI Hub, SAP BTP serves as a development and distribution center for AI within SAP landscapes. Businesses can leverage AI in their systems with their own data and develop tailored AI applications. A wide range of large language models (LLMs) from leading providers—including ChatGPT by OpenAI and Llama by Meta—are available for flexible and simple app development, without the need to purchase licenses or manage hardware, integration, or permissions.

Data Management & Analytics
Thanks to seamless integration with SAP Business Data Cloud (SAP BDC), SAP data becomes accessible for AI applications, ensuring decision-making is based on current business contexts. For real-time analytics with SAP HANA Cloud or SAP Datasphere, data can be consolidated into a central layer. Tools like SAP Analytics Cloud enable businesses to analyze, visualize, and make informed decisions based on their data.

Governance & Security
Robust security standards, compliance solutions, and a stable infrastructure ensure comprehensive protection.

By providing a variety of SAP solutions, tools, and services, and integrating systems, processes, AI, and data, SAP BTP helps businesses become more agile, flexible, and innovative. It enables faster, simpler extensions via cloud-based apps, embedded analytics, and access to cutting-edge technologies like artificial intelligence.

For businesses, this means:

• Increased flexibility and scalability
• Intelligent data utilization and data-driven decisions
• Clear efficiency improvements
• Targeted innovation enablement

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