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SAP Business Data Cloud

Score8.6 out of 10

79 Reviews and Ratings

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What is SAP Business Data Cloud?

SAP Business Data Cloud is a fully managed SaaS solution that unifies and governs all SAP data and seamlessly connects with third-party data—giving line-of-business leaders context to make even more impactful decisions.

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Categories & Use Cases

Who Buys & Uses SAP Business Data Cloud

SAP Business Data Cloud Reviews

What users are saying about SAP Business Data Cloud.
View all SAP Business Data Cloud reviews

Pros

  • Seamless integration with both SAP and non-SAP systems
  • Robust data modeling for creating semantically rich data products
  • Strong support for Artificial Intelligence and Machine Learning use cases

Cons

  • Complexity and challenges in integrating with non-SAP systems
  • High licensing costs and significant implementation expenses
  • User interface can be complex and less user-friendly for non-technical users

Usage of SAP Business Data Cloud in Real World

Incentivized
Venu Nandha Kumar
Product Owner in Information Technology at HAITS (1001-5000 employees employees)

Use Cases and Deployment Scope

Currently, we are using SAP BW4HANA as backend in our organizations. We have SAC as our frontend tool. Along with the we are using SAP Datasphere as well. But with AI is now in pipeline many business users are looking for solutions which can talk and provide answers in real time using AI, but SAP have clearly mentioned that, SAP Joule will come into action/can be used only when BW is moved to SAP Business Data Cloud, hence we have started with exploration of SAP Business Data Cloud to interact with SAP Joule (AI)

Pros

  • Supports AI (SAP Joule) & Machine Learnings
  • It integrates with SAC, to provide real time analytics
  • We can also do Planning and Analytics
  • Since it is on cloud, we can migrate our BW data into cloud

Cons

  • Though SAP Business Data Cloud supports non-SAP data, integration is still not user friendly
  • Since it combines multiple services together, Cost is based on usage of the tool
  • Could be better if there is automated BW to SAP Business Data Cloud migration tool along with ABAP logic conversion support

Return on Investment

  • Since SAP Business Data Cloud consolidates multiple tools into single platform - it reduces licensing, maintenance and infrastructure costs
  • Its helps Business in taking decisions fast with real-time reporting capabilities
  • SAP Business Data Cloud provides improved data quality and governance, which avoids reworks

Usability

Other Software Used

SAP Analytics Cloud, SAP Datasphere, SAP BW/4HANA, Microsoft Power BI

Centralized data management with real-time insights.

Incentivized
Harper Miller
Data Analyst in Information Technology at Agile Infoways (201-500 employees employees)

Use Cases and Deployment Scope

SAP Business Data Cloud makes it easy to monitor and manage data from different sources. It helps me locate insights across various attributes, such as product and customer. The SAP data is in one place, enabling quick user analytics and effective planning. I have been able to contextualize data from SAP and non-SAP sources.

Pros

  • Pooling SAP data under one place.
  • Provision of unified data analytics.

Cons

  • Dependency on SAP ecosystem slows down adoption.
  • Complexity and learning curve are quite challenging.

Return on Investment

  • Strong data governance and security features have enhanced positive ROI.
  • It has reduced data discrepancies and improved analytics.

Usability

Other Software Used

ClickUp, IBM Aspera on Cloud, Adobe Marketo Engage

SAP Business Data Cloud review

Incentivized
Deva Anand
Principal in Manufacturing at Arthrex (501-1000 employees employees)

Use Cases and Deployment Scope

for SAP table replication and data modelling

Pros

  • Real time data replication
  • o delta share
  • Data modelling

Cons

  • Performance optimization

Return on Investment

  • Positive

Usability

SAP BDC so far

Incentivized
Suman KandasamyView profile
Senior Consultant in Information Technology at Bosch global software technologies (5001-10,000 employees employees)

Use Cases and Deployment Scope

Mainly we use Datasphere which is integrated with SAC and also to align SAP and non-SAP data products. Since I'm from analytics teams most use case I see is for real time analytics and to process large data. Recently started using Datasphere which is planned for replacing wonderful SAP BW system. Looking for leveraging AI in S/4 system. Also to provide the customer a refreshed experience who are still using AFO reports. Data quality management is also a factor to consider. It helped to bridge the gap between on premise SAP data with cloud applications

Pros

  • Helped in solving complex data integration
  • Creating Sales order from unstructured data, AI usage
  • Ability to predict in supply chain management
  • Data Governance

Cons

  • Pricing model is looking complex not able to justify with products like Azure
  • Integration with non-SAP system can be made more simpler if possible
  • Joule is good but still this can be made strong to handle complex analytical queries
  • Modeling Planning in SAC can be made user friendly

Return on Investment

  • Operational efficiency is increase for sure
  • Risk mitigation is improved
  • High implementation cost while setting up
  • No Standard SAP connectors to integrate legacy non-SAP manufacturing systems

Usability

Alternatives Considered

SAP Business Warehouse, SAP Datasphere and SAP Analytics Cloud

Other Software Used

SAP Business Warehouse, Azure Data Lake Storage, Microsoft Power BI, SAP Datasphere

SAP Business Data Cloud - Much better data warehousing

Incentivized
Verified User
Consultant in Information Technology (10,001+ employees employees)

Use Cases and Deployment Scope

Our organisation uses SAP Business Data Cloud as a modern data warehousing and analytics platform. We were using the BW 7.5 on Oracle database. As SAP decommissioned the BWA feature in BW 7.5, we were facing performance issues. Moving to BW on Hana or BW4Hana looks short term solutions at that point. To overcome that, we were looking for the next options. Here, SAP Business Data Cloud suits better for our needs. The SAP tool for the SAP data would be a better and more reliable solution. SAP Business Data Cloud helps to transform the raw data to a semantically rich dataproduct. We are using replication flows for some premium outbound use cases as well. With this SAP Business Data Cloud suite, we were doing seamless planning for project cost. This reduces a lot of the data transfer process. Using the analytical model, we built multiple statistical dashboards. In addition to that we could able to achieve the realtime data replications which increases the accuracy and reduce the lag.

Pros

  • We have created the semantically rich dataproducts which are residing in the object store. We use the same dataproduct for the dashboarding and for the external non-SAP demand planning tool (maestro). This ensures data uniformity and a single source of truth.
  • We implemented the Capex planning model in SAP Business Data Cloud's SAC tool. Here, we could fetch the realtime data from the S4 source system and write back the planning data to the same source system via the SAP Datasphere using the seamless planning option.
  • An AI core model has been deployed in SAP Business Data Cloud for the service cloud V2 data. This trained model will identify the potential customers from the opportunities and automatically propose the quotation with higher accuracy.

Cons

  • There are no layer concepts or guidelines for the structured implementation. This leads to a lot of doubt where to use which object model and struggled to create an optimised dataflow.
  • There are no options in the application area to reuse the logics. If we want to manipulate the same logic between multiple source and target object means, we need to create multiple transformation flows. Future maintenance will be taken care of in multiple places to be in sync.
  • SAP is suggesting to keep the dataproducts in the object store space. To refine the dataproduct, we don't have extensive operation skills inside the object store. To add complex logics, we may need to flow the data to HANA space, perform those operations, and bring it back to the object store.

Return on Investment

  • It provides nearly realtime data. This ensures fast and accurate decisions by the user department. The planning models are accurate now. We could able to automate some planning functions as well. This reduces the manual efforts.
  • Single source of truth ensures the data uniformity. Due to this, the Demand planning team and the Sales and Operations department are looking at the data with zero deviations. This ensures the smooth operations in our manufacturing plants.
  • IT cost estimations are reduced after the required dataproducts are generated. Self service from the user department is increased. They should able to make the changes with the same time window of Business Requirement document creations. Catalogue features also an added advantage which significantly reduces the dependencies.

Usability

Other Software Used

SAP BW/4HANA, Azure Databricks, Maestro, IBM Planning Analytics