SAP Business Data Cloud

According to TrustRadius reviews, SAP Business Data Cloud integrates with both SAP and non-SAP systems. Reviewers frequently praise its seamless integration with the broader SAP ecosystem, particularly with applications like SAP S/4HANA. The platform is also used to connect with non-SAP data sources, although one reviewer noted some challenges in this area. The primary benefit of this integration is the creation of a unified data environment, which brings together scattered data from on-premise and cloud sources into a single, governed platform. This consolidated data is then used to power analytics, AI, and data transformation initiatives.

According to TrustRadius reviews, the main benefit of SAP Business Data Cloud is its ability to create a unified data platform. Reviewers highlight its role in centralizing data management, which establishes a single source of truth, improves data uniformity, and can reduce maintenance costs. This unified foundation is used to power analytics, reporting, and AI use cases. Users also note that the platform helps them modernize their infrastructure by moving from on-premise systems and leveraging a data fabric architecture. Other benefits mentioned include the creation of semantically rich data products and the ability to support business agility and achieve a return on investment.

According to TrustRadius reviews, users leverage SAP Business Data Cloud as a unified platform for modern data warehousing, analytics, and AI. A key strength highlighted by reviewers is its ability to integrate and centralize data from various scattered sources, including both SAP and non-SAP systems, into a single governed environment. This helps organizations standardize KPIs, fix data foundation issues, and create semantically rich data products. While some users note it can reduce maintenance costs for multiple platforms, others point out that the licensing and maintenance costs for SAP Business Data Cloud itself can be high.

Based on TrustRadius reviews, the primary data integration concept associated with SAP Business Data Cloud is its ability to connect with and unify data from both SAP and non-SAP systems. Reviewers state that it integrates easily with other SAP products. For non-SAP sources, while the tool can extract and integrate data, some reviewers mention challenges, wishing for a simpler process or more standard connectors for legacy systems. Key concepts and use cases mentioned by reviewers include creating unified "data products" to establish a single source of truth, performing data extraction and transformation, and integrating specific data types like logistics feeds or cloud product data.

According to TrustRadius reviews, SAP Business Data Cloud uses SAP Datasphere for data integration and warehousing, while SAP Analytics Cloud (SAC) is used for visualization, planning, and application development. Reviewers describe using Datasphere to create a central information hub that integrates data from SAP S/4HANA and other third-party sources. This data is then visualized in SAC. A specific use case mentioned is implementing planning models in SAC that fetch real-time data from a source system and use Datasphere to write the planning data back, creating a seamless workflow on a unified platform.

According to TrustRadius reviews, SAP Business Data Cloud supports artificial intelligence and machine learning initiatives primarily through its integration with Databricks. Reviewers state that data can be prepared and modeled within the platform before being used in Databricks for AI needs and applications. The platform also provides foundational support by helping users modernize their data infrastructure and ensure data consistency across SAP and non-SAP applications. Some reviewers also note the use of integrated AI offerings for intelligent data mapping and transformation.

According to TrustRadius reviews, SAP Business Data Cloud handles real-time data processing for analytics and business intelligence. Reviewers highlight its use for real-time analytics on large datasets. One specific example mentioned is fetching real-time data from an S4 source system for a planning model and writing the results back, using SAP Datasphere for the connection. The platform is also noted for its fast data extraction and transformation capabilities from various SAP and non-SAP sources. This functionality is often achieved through integration with a suite of other SAP products, including SAP Datasphere, SAP Analytics Cloud, and SAP HANA Cloud.

While TrustRadius reviews for SAP Business Data Cloud do not specify where to find technical support resources, they do provide insights into related aspects of the product. Reviewers focus on the product's integration capabilities and its cost. They mention its ability to connect with other SAP tools, like Service Cloud v2, and integrate data from non-SAP sources. Some reviewers also note that the maintenance and licensing costs are high.

Based on TrustRadius reviews, users of SAP Business Data Cloud often work in environments that utilize a combination of data warehouse and data lake technologies. Reviewers mention specific platforms that fall into these categories, such as SAP Business Warehouse and Azure Data Lake. This suggests that organizations are leveraging different architectural components, including data warehouses, data lakes, and other data platforms, as part of their overall data strategy.

Based on TrustRadius reviews, the capabilities of SAP Business Data Cloud appear to be centered on its integration within a broader data and analytics ecosystem. Reviewers consistently report using it alongside other SAP solutions, including SAP Business Warehouse, SAP Datasphere, and SAP Analytics Cloud. This suggests that a primary benefit is its ability to function within a comprehensive SAP-centric data strategy. Some reviewers also indicate its use with non-SAP platforms like Azure Data Lake Analytics, highlighting its role in multi-vendor environments.

According to TrustRadius reviews, a notable recent feature in SAP Business Data Cloud is an AI core model for service cloud V2 data. Reviewers state this trained model can identify potential customers from opportunities and automatically propose quotations with high accuracy. While this AI capability is a key feature mentioned, reviewers also comment on other aspects, such as finding the BW bridge component difficult to understand and noting that the product has a higher licensing cost.