Accelerate decision-making and meet change with high performance and reliability on a trusted, enterprise-grade platform. SAP Business Technology Platform combines low code application development, data and analytics management, integration, and AI capabilities into one unified environment optimized for SAP applications.
Real-time Analytics
Real-time analytics allows you to see how the data in your system is evolving and makes it easy to identify trends or problems. You can use these insights to take immediate action.
Real-time analytics can help your business processes run more efficiently and reduce costs. To gain a competitive edge, try using predictive and prescriptive analytics. This can help improve the customer experience, develop better control methods, or assess various reference architectures.
SAP BTP provides tools for real-time data analytics and streamlining business processes. Websites like SAPinsider offers helpful guidance in using these tools.
You can integrate your SAP and non-SAP systems with a single, trusted view of your data across your entire enterprise. The business data fabric architecture built with SAP BTP enables your organization to get the most value from your data, drive trust and innovation, and accelerate planning.
The SAP Datasphere service is a cloud-based data repository that offers scalable, high-performance, and secure access to your data. You can easily model and import your data into the database with a few clicks.
You can choose from several data replication options, including replicating on a table-by-table basis and replicating pre-built logic. This flexibility helps you meet your unique requirements for managing and integrating enterprise data.
Data Visualization
The intelligent technologies on the SAP Business Technology Platform help your company run more efficiently, including automating structured processes and completing repetitive manual tasks. This reduces your workforce’s workload, freeing them to work on more productive tasks and projects and boosting their job satisfaction.
The cloud-based SAP BTP combines services and tools for application development, automation, AI capabilities, and data and analytics management in one unified environment. It enables you to seamlessly customize and integrate your existing SAP products, develop new applications and functionalities, and connect them with 3D-party solutions and other data sources without disrupting your IT architecture.
Increased Efficiency & Speed:Â Real-time analytics and lightning-fast query responses improve decision-making. Advanced analytics solutions based on AI enable more precise forecasting and predictive capabilities. This helps you understand your customers better and react quickly to changing market trends.
There are tools that support various formats for importing data from SAP and other systems. And with native support for change data capture (CDC), you can easily replicate transactional SAP data into these tools to create operational data marts.
You can combine them with external datasets and Google Cloud services to provide insights that are impossible to get from your SAP systems alone.
Data Integration
Businesses need to adapt to fast-changing market demands to be successful. Standard processes and software are no longer enough to do this — they must be agile. SAP BTP provides many services and tools that help companies be more flexible. These include low-code application development, AI, integration, and data analytics, as well as tools for hybrid system architecture.
These products enable users to plan, forecast, and make smarter decisions. They also allow for self-service predictive analytics to identify trends and opportunities in real-time, helping businesses become more insight-driven.
For example, using a data warehouse with SAP, organizations can examine the correlation between promotional activities and product demand to determine whether future marketing efforts are worth the investment. They can also use the platform to predict seasonal or weather-related fluctuations in demand and optimize their inventory levels accordingly.
Additionally, BTP can help to connect multiple systems and applications – even those that use different data formats – in a hybrid environment. The former offers an ETL (Extract, Transform, Load) approach that enables data to be extracted from various systems, including SAP, and loaded into BigQuery, where it can be used for analysis. The latter offers a simple, user-friendly interface to load data directly into BigQuery, eliminating the need for an ETL solution.
Data Warehousing
Data warehousing is a process that reshapes and consolidates data from disparate sources into databases with a predefined schema, allowing the database to be accessed by business intelligence tools. With a data warehouse, you can quickly and easily query large amounts of consolidated data – even petabytes of information – without waiting for the system to ingest new data.
Utility companies can use this centralized analytics repository for real-time insights into integrated line-of-business data, simplifying and optimizing reporting and analytics operations. A key component is a data management solution, such as SAP IQ, which offers high-speed compression and scalable storage to help reduce IT costs. Customers can deploy IQ on-premise or in the cloud.
A powerful data quality management (DQM) solution helps ensure accurate data. For example, address cleansing and enrichment can be embedded into any business process or application to ensure that contact information is complete and accurate. This can help prevent costly errors and delays.
Utilities can also leverage advanced analytics, planning, and predictive capabilities to improve decision-making in core business processes. This includes simulation and forecasting to identify potential risks and opportunities. Then, they can leverage the results to develop effective strategies and take action.
For example, they can reduce asset maintenance costs by analyzing the health of critical assets, optimize resource use through energy consumption and generation analysis, and improve financial planning with simulations that analyze the impact of different scenarios.
