SAP Business Data Cloud Reviews

In the current project, we are implementing an end-to-end financial planning and analysis project where we are bringing the data from S/4HANA into Datasphere and from there we are creating planning models and the dashboards in SAP SAC.

We bring the actual data of AC DOCA table of S/4HANA into Datasphere, where we automate their P&L reporting, balance sheet reporting, and on top of that in Datasphere, we are doing some data transformation, data conversion and at the end in SAC, we are doing a live models which connects real-time with S/4HANA and the business is able to generate their financial statements into SAC using SAP Business Data Cloud via S/4HANA data.

We have integrated Datasphere with S/4HANA, so whatever transactions are getting posted, I can see real-time updates in the SAP SAC dashboard.

The data is just residing in SAP Business Data Cloud because the data coming from the source, S/4HANA, we are validating it in Datasphere and at the end we are showing it in SAP SAC.

The purpose of implementing SAP Business Data Cloud is to avoid the manual work mainly. Previously, the business users would take the outputs of S/4HANA into Excel and then upload in Power BI to get the reports. But now this exercise is avoided. The master data, transaction data is linked directly with SAP Business Data Cloud. Tomorrow, if new members are added in S/4HANA, it automatically updates in the dashboards and reports part as well.

The main important point which catches the eye of every business using SAP Business Data Cloud is it has a very tight integration. It provides good integration with S/4HANA as well as SuccessFactors for workforce planning. On top of that, Datasphere offers more flexibility in data transformation and master data conversion. SAP SAC facilitates front-end reporting and planning through seamless planning processes.

SAP Business Data Cloud is a comprehensive package offering data warehousing, dashboard, and report creation for key management users. It also supports annual planning and rolling forecasts. Once these processes are finalized, it enables machine learning via the Databricks part of the solution, turning it into a more practical packaged solution.

From a user experience perspective, there isn't a significant change as the front end remains similar. This consistency ensures users find the transition smoother as SAP Business Data Cloud forms the back end.

From an improvement side, it is too early to comment. For now, I don't see any improvement which I am able to recollect right now.

Based on what I have observed so far, I would give eight points because I haven't seen the Databricks part of it.

As I mentioned, the Databricks part is very important as it is a package. Once we have Databricks fully up and running and I have experienced it, then only I will be able to give two more points in it.

I have been using SAP for around four to five years.

We have received responses to everything we raised. The service has been good so far.

We switched because of the integration of S/4HANA and SAP Business Data Cloud.

We are just the implementation partner. We are not the one who bought this.

I think we have covered the main points, but one point is right now we are mainly focusing on the reporting part, but going forward, we will automate the revenue planning process, cost of revenue planning, CAPEX planning, workforce planning, all this together will flow as a complete budgeted P&L statement in SAP Business Data Cloud and SAP SAC.

We are using self-service within SAP SAC and this helps a lot for business users because they need not rely on the IT team for small changes. They can do slice and dice on their own.

I would suggest them to go for it if it comes within their budget. SAP Business Data Cloud is good to have within the organization. I am giving this solution a rating of ten out of ten.

My main use case for SAP Business Data Cloud involves installation of data products and creation of data products, and sometimes ingestion of data to non-SAP data cloud such as AWS S3 as well as ADLS Gen2 and sometimes GCP as well.

The process of creating and installing data products in SAP Business Data Cloud is very simple; I just have to find out the use case for which I am trying to find the data product. If I find any data product that is related or matching to my requirement, I just have to search in the catalog and then click a button to find the data package. Then I install it and automatically, the data gets stored in the underlying object store and if I want, I can proceed further in the datasphere and process whatever is required.

Apart from that, sometimes I use the data products from the BWPC, such as generating the data products on the BW objects using the data product generator, which is also one of my use cases. For one of my clients, I am implementing that use case.

The best features SAP Business Data Cloud offers include the data intelligent application and the data product because if I find the standard intelligent application that is suitable to my requirement, I don't have to do anything else; I just find the corresponding intelligent application and install it. That's it. I get an end-to-end application and can start using the SAC dashboard without further actions. Apart from that, even if some requirements are not matching, I can customize that intelligent application or customize that standard data product and can create derived data using the standard data products before proceeding as per my requirement to build data models on top of it and then create a SAC dashboard or story based on those analytical models.

The main standout feature is BDC Connect, as it is very useful for sharing data without replicating to third-party tools such as Enterprise Databricks, Snowflake or even in the near future, Google BigQuery as well as Microsoft Fabric. We don't have to replicate; we can share it from BDC and start using it in those tools, where data scientists or data engineers can build the corresponding pipelines or the AI/ML use cases and share back to SAP Business Data Cloud.

SAP Business Data Cloud has positively impacted my organization as it is getting more business compared to earlier due to unique use cases such as intelligent applications and BDC Connect. Because of that, our team and organization are seeing improvements in net revenue and other financial metrics compared to earlier.

Revenue has increased because of SAP Business Data Cloud, as we are gaining more traction and business. We have built some accelerators that help customers utilizing our services, leading to a significant increase in revenue of at least twenty to twenty-five percent because of these data products.

SAP Business Data Cloud can be improved as some of the features from BWPC are still not available in the Data Product Generator. Including features such as multi-provider or legacy BW object access could be helpful. Also, if connections to third-party tools such as Power BI and Tableau can improve, it would enhance customer interaction. Additionally, if SAP can come up with innovative options to reduce licensing costs, many customers would incline toward SAP Business Data Cloud since some are currently moving towards non-SAP tools such as Fabric, Databricks, or BigQuery due to cost constraints.

The performance when utilizing the zero-copy data share via BDC Connect could be improved, as it would be very useful for most customers who start using it. Right now, some customers face issues because of BDC Connect.

I have already mentioned all of the issues I faced, so I don't have additional improvements to add.

I have been using SAP Business Data Cloud for around three years, starting with SAP Datasphere and now it's into SAP BDC, such as SAP BDC Cockpit and SAP Analytics Cloud, SAP Databricks, SAP Snowflake.

SAP Business Data Cloud is somewhat stable, but it still needs some improvement, which I mentioned earlier.

SAP Business Data Cloud's scalability is great, but it also needs some improvement.

Customer support is generally good, though we sometimes face issues with responsiveness.

I would rate customer support a seven out of ten because sometimes they do not respond properly, so if they can improve on that, my rating could improve.

We were using SAP Datasphere during our BW migration, but now with SAP Business Data Cloud, we can simply convert existing objects to BDC, eliminating the need for replication flow to get data into Datasphere, as most features now are just a click of a button thanks to intelligent applications and data products.

We did not purchase SAP Business Data Cloud through the AWS Marketplace; we purchased it directly from SAP but deployed it on-site.

I have seen a return on investment; especially in terms of the number of employees needed to run projects, many features are just a click of a button. We have saved a lot on the number of employees, and implementation time for the projects has reduced significantly since we started using the standard features of SAP Business Data Cloud.

Frankly, pricing, setup cost, and licensing seem a bit high compared to other hyperscalers, but if SAP works on that and provides some innovative options, it could improve and help them gain market share by reducing licensing costs slightly.

Before choosing SAP Business Data Cloud, I evaluated options such as Databricks, Fabric, and GCP. Based on the complexity of integrating SAP data with those options, we decided to advance with SAP Business Data Cloud for SAP data, while utilizing Databricks for non-SAP data processing combined with BDC Connect.

We are currently not using the universal business context capability in SAP Business Data Cloud.

We have utilized SAP BDC Connect for data integration with partner systems, specifically connecting to enterprise SAP Databricks, which helps us improve data and decision-making by combining AI/ML features from enterprise Databricks.

We have utilized the BWPC feature for modernizing the BW. By using the data product generator, we have converted BW objects into SAP Business Data Cloud corresponding objects. I think it needs more improvement because there are limitations on utilizing legacy objects as part of the data product generator, and this feature has helped us migrate BW to BWPC, allowing us to innovate according to the latest features of SAP Business Data Cloud.

We have not utilized the BDC Connect service with new partners such as Snowflake, Google, or Microsoft. We plan to test that feature for Snowflake and when Fabric becomes available, we will certainly test that with BDC Connect.

We have not done the integration between SAP HANA Cloud and SAP Business Data Cloud. We are planning to do that to fetch data from underlying HANA Cloud, such as calculation views for use within SAP Business Data Cloud context.

We are not yet utilizing the Data Product Studio in SAP Business Data Cloud.

We have partially utilized the analytical agility feature in SAP Business Data Cloud; while we have not used it to the fullest, whatever we have used has helped our organization.

SAP Business Data Cloud's ability to eliminate silos between agents with a shared understanding of the business stands out; we can combine data from both SAP and non-SAP sources in one place, even unstructured data into SAP Business Data Cloud through BDC Connect for reporting, which is a great feature. Improving the performance slightly would make it even better.

I assess SAP Business Data Cloud's AI features as improving, and I appreciate the Joule integration with Datasphere and SAC, as well as BDC Cockpit. I think if they can allow users to choose the LLM based on their specific needs or requirements, that could enhance the product.

My advice for others looking into using SAP Business Data Cloud is to switch to SAP Business Data Cloud because it's a great product, and they can save a lot in the long term, especially for migrating BW and utilizing the standard features of SAP Business Data Cloud such as intelligent applications and data products. They can also integrate non-SAP data into SAP Business Data Cloud efficiently. I would give this product an overall rating of eight out of ten.

My main use case for SAP Business Data Cloud is that initially, we had our HR system available in BW on HANA system. SAP is ending the support for BW on HANA at the end of 2027, so the option was to move it to other SAP products or to move it out of SAP products.

Management decided the best option was to move ahead with SAP Business Data Cloud, which also provides a cloud migration. All cloud-native objects will be used, and this advancement is happening while using all the latest tools. This is the reason for moving to SAP Business Data Cloud.

The best features of SAP Business Data Cloud include a very important capability that allows data sharing without moving data, which is a very useful option. It provides Databricks capability to use AI and machine learning wherever required with data already residing in SAP Native HANA Cloud. This is a significant advantage we are receiving, and with the support we get in SAC, especially in planning, it is a very seamless integrated way of conducting planning. These are the main important features that make SAP Business Data Cloud stand out.

Adoption of SAP Business Data Cloud has gone well across the organization, as apart from my department in BI and analytics, other teams have also started using it. It is being used in other areas such as finance and manufacturing.

We are at the initial phase, and we have been trying multiple things, but most of the data modeling aspects are clear, so no significant incidents have occurred so far.

I have been using SAP Business Data Cloud for almost two plus years.

Apart from SAP Business Data Cloud, I have worked with Microsoft Fabrics.

Before I moved to SAP Business Data Cloud, we had other tools in consideration as well, with many of the departments deciding to go ahead with Microsoft Fabric.

It took me a short time to get everything up and running since I joined the product when the initial setup was already done. When I came and joined, all my access got sorted within two to three days, and once I got the access, no installation or anything else is required. Everything is on a cloud platform, so you just have to have a web link and then start working on it. It was much faster than what we used to do in the older days with SAP GUI or Eclipse.

There was no formal training required for my team to get comfortable with SAP Business Data Cloud, but knowledge of SQL is very much important because all the data modeling transformation part and everything is handled in SQL. SQL knowledge is a must to work in SAP Business Data Cloud.

The team is large, with seven people from India and eight to ten people from other locations, making it a team of fifteen to sixteen members.

My team chose SAP Business Data Cloud specifically over those alternatives because of the standardization we get in SAP products, which is the main reason to go ahead with SAP Business Data Cloud. For HR-related processes, managing HR-related activities for the entire world brings a lot of customization, and if we go ahead with tools that require high customization and minimal standardization, it becomes difficult for an organization as large as Mercedes to standardize it. For better standardization and to easily use other SAP source systems, SAP Business Data Cloud was the best option we could select.

When I open SAP Business Data Cloud in my day-to-day or week-to-week work, I start with development-related work, where I look for the story or the part of the assignment that has been assigned to me, and then I try to build those data models.

SAP Business Data Cloud has increased our efficiency because the way we do programming in SAP Business Data Cloud is SQL-based, which is more open source and easily available. This allows us to get help easily on those fronts, leading to time savings. With the advancement of AI, we easily get support from AI wherever we want to use it. Efficiency has increased, and regarding the standard features that SAP provides, such as time handling or hierarchical data, these are features that are very difficult to implement from scratch, but when SAP provides these standard functions, it becomes easier and more efficient to use in data modeling.

I use SAP Business Data Cloud on the cloud where I am leveraging various use cases in business data. In my workflow, CDS views to SAP Business Data Cloud provide reports for SAC Analytics Cloud, allowing templates and direct report access for users without disrupting the source from S/4HANA. My use case focuses on planning, fast access, templates, and agents, as multiple cloud versions including PCE and private editions exist, with newly added features also being a consideration.

The biggest impact for me and my client comes from the integration and reporting aspects, as normally in BW/4HANA, high costs are incurred when purchasing separate features, but in SAP Business Data Cloud, all features can be accessed under one purchase.

The positive impact of SAP Business Data Cloud on my organization is evident, especially since my client is planning to migrate from ECC to S/4 and SAP Business Data Cloud, significantly reducing the time and resources required to create data objects and manage budgets.

My analysis indicates that team size can be reduced by around 30 to 50 percent, and cost-wise, almost 50 percent will be reduced as well.

The best feature of SAP Business Data Cloud is that it serves as an umbrella connecting all components, enabling connections with datasphere, SAC, BW/4HANA, and data analytics, effectively consolidating everything under one umbrella. SAP Business Data Cloud ensures data maintains its meaning and relationships across various systems by supporting all types of ODA sources, involving both SAP and non-SAP data sources from Oracle, Java, and unstructured data from platforms such as Twitter and Facebook.

Currently, I find the DevOps features to be lacking in SAP Business Data Cloud, and I hope that upcoming versions will enhance DevOps capabilities and provide better structured and unstructured data support.

I have identified some issues with the DataBricks in SAP Business Data Cloud, and I believe that new versions should focus on providing more features, especially on the DevOps side and regarding templates.

I have been working in the SAP domain for the past 15 years, working with all versions including SAP BW, BW/4HANA, BW on HANA, S/4HANA, and Native HANA, sometimes even in functional roles involving SD and MM.

SAP Business Data Cloud is stable currently.

The scalability of SAP Business Data Cloud is attractive, providing easy access and fast accuracy with low-code and no-code solutions.

Customer support for SAP Business Data Cloud is generally good, although there have been some minor issues regarding access and security.

I have not previously used any other solution before adopting SAP Business Data Cloud.

I do not have the metrics for return on investment yet, as I need to start working on the integration before I can share relevant data on employee reduction, costs, or time saved.

The pricing for SAP Business Data Cloud is higher compared to alternatives, but it is justified by the comprehensive features offered under one umbrella, which effectively meets my client's needs.

Before opting for SAP Business Data Cloud, I evaluated options including datasphere and SAC, considering individual costs, but I found SAP Business Data Cloud more efficient and encompassing.

My advice for others considering SAP Business Data Cloud is to leverage its all-in-one capability to reduce manpower, increase accuracy, and utilize business templates efficiently for faster report generation. I provide this review with a rating of 8.

I left my review on Qlik Analytics Platform and SAP Analytics Hub. We are only using SAP products currently. I have been using SAP Analytics Hub for 20 years now.

I have been using it as a partner, specifically as a partner integrator. We are using SAP Analytics Hub for two reasons: one is for cataloging and one is for sending out data from SAP products to data lakes and others.

As a partner, I can mention something positive about SAP Analytics Hub: its products are tightly integrated, so the business context of data is retained in the analytics solution, and that's the main advantage. The access control feature impacts our security overall, which is a good feature to have.

The search function in SAP Analytics Hub is not effective. When speaking about integration with various analytic sources, for example, if I wanted to send the data from SAP BW or B4HANA to a data lake, we used to earlier use the Open Data Hub or Analytics Hub. Nowadays, we are using the Data Sphere integrators available with Amazon, Azure, and Google Cloud. The search capability could be better, and SAP needs to come out with a clear roadmap for the solution going ahead, as they have not yet provided that.

I have been using SAP Analytics Hub for 20 years now.

Nowadays, I find it straightforward to install SAP Analytics Hub. Earlier it was different, but most of the solutions from SAP now have automated installation guides, making it much simpler.

I find it stable now. SAP Analytics Hub's analytics solutions are also pretty stable now.

It is easy to scale now and there are no limitations.

The technical support from SAP Analytics Hub is adequate but not brilliant. If I were to rate support from one to ten, I would give it a six or seven. Something could be improved about it. The main issue is the quality, which is where improvements are needed.

Neutral

Comparing SAP Analytics Hub with other products, there are some big technical differences. Snowflake is an end-to-end data warehouse solution that caters to all SAP and non-SAP needs, whereas SAP Analytics Hub is more suited for SAP solutions. People don't buy SAP's analytical solution just for their analytical story if they don't have an SAP solution, so it is highly centric to SAP.

I have been using it as a partner, specifically as a partner integrator.

I have not done any calculations on time saved by the SAP Analytics Hub centralized platform. We have built our own accelerators which help us save time, but I have not done any calculations specifically for Analytics Hub. The positive impact I see from the product is that it saves me time, approximately 10 to 20%, not more than that.

When speaking about integration with various analytic sources, for example, if I wanted to send the data from SAP BW or B4HANA to a data lake, we used to earlier use the Open Data Hub or Analytics Hub. Nowadays, we are using the Data Sphere integrators available with Amazon, Azure, and Google Cloud. I would be happy to be a reference for them as an expert with SAP Analytics Hub. On a scale of 1-10, I rate this solution a 7.

My main use case for SAP Business Data Cloud is primarily with SAP Datasphere, but I also help customers connect SAP Business Data Cloud with Databricks.

Currently, customers are transitioning from SAP Business Warehouse into SAP Business Data Cloud, so I am helping customers navigate through that transition.

There are other POCs that customers are trying right now, specific to Databricks, but soon we're going to do it with Snowflake as well regarding my main use case and how I am helping customers with SAP Business Data Cloud.

The best features SAP Business Data Cloud offers include replication from the transactional system, from the S/4HANA system, which customers value more, and everything related to change data capture and the ability to connect to SAP CDS views.

Currently, SAP Business Data Cloud's approved way to extract data out of the system impacts my projects and my customer's experience as it goes through SAP Business Data Cloud, whether it's native Datasphere or using data products that SAP Business Data Cloud platform provides.

The ability to share data into platforms such as Snowflake or Databricks is also a value that customers are exploring regarding the features of SAP Business Data Cloud, but I don't find any specific use case that customers are taking this technology at scale, although I think it will come.

SAP Business Data Cloud has impacted my organization and my customers' organizations positively as customers are starting to explore how to transition from existing data warehouses into this data product economy.

This exploration and transition change the way teams work or make decisions as it helps me to position some consulting work because that's a transition that customers need to go through; data warehouse is an IT domain, but data products are a domain from the business itself, which requires consulting services.

The partner ecosystem for SAP Business Data Cloud needs to be expanded as it is currently very limited with two partners, Databricks and Snowflake, but other data platforms should be added at scale.

Performance is a limitation that SAP Business Data Cloud has right now, and until I know more about SAP with the Iceberg adoption, I will say more, but now performance is a limitation using the Delta capability.

Regarding improvements needed for SAP Business Data Cloud, I find that there is no capability to connect SAP Business Data Cloud to AWS, so a singular improvement would be to allow myself to connect to other clouds, but also the ability to bring my own SAP servers to the platform.

I have been using SAP Business Data Cloud for approximately a year and a half.

SAP Business Data Cloud helps different AI assistants stay in sync and share the same business rules very poorly so they don't give conflicting information.

The ability to share data into platforms such as Snowflake or Databricks is also a value that customers are exploring regarding the features of SAP Business Data Cloud, but I don't find any specific use case that customers are taking this technology at scale, although I think it will come.

I did not purchase SAP Business Data Cloud through the AWS Marketplace.

I have tried the data product generator, which is a helpful tool, but it still requires a lot of improvement in terms of moving my old BW data to SAP Business Data Cloud to make my daily data operations faster or easier.

My advice for others looking into using SAP Business Data Cloud is to do a profound assessment on the implications of the tool and to create a thorough proof of concept of the solution.

I rate this product a nine out of ten.

SAP Business Data Cloud serves as my primary solution when I need to integrate data. I use SAP Business Data Cloud for data integration, analytics, and reporting to help consolidate data from multiple SAP and non-SAP systems into a centralized platform, enabling user access to trusted data for reporting and dashboarding. It also provides advantages in analytical performance monitoring and generation of reporting, supporting decision-making across the organization.

One specific example of how my team uses SAP Business Data Cloud in a real-world scenario is by creating a centralized executive dashboard for business performance monitoring, where we integrate data from our ERP, sales, and finance systems into a single platform, replacing the previous manual reporting generated from multiple sources, which was time-consuming and led to inconsistent data.

For analytics, we can use the data from SAP Business Data Cloud to get a comprehensive view across systems and provide a trusted foundation for business planning and decision-making.

The best features SAP Business Data Cloud offers are the data integration, centralized management, real-time analytics and reporting capabilities, and a strong data governance offering, which help create a single source of truth and enable better business decisions based on reliable data.

Real-time analytics from SAP Business Data Cloud helps us monitor sales and inventory during promotional campaigns, allowing management to quickly identify trends early and make quick adjustments to inventory and operations. This has improved decision-making and reduced our reliance on outdated data.

SAP Business Data Cloud has positively impacted my organization by improving decision-making through real-time insights into what is changing in the business.

Since adopting SAP Business Data Cloud, the specific improvements I have seen include reduced manual effort, faster access to insights, and better accuracy.

The main areas I see needing work for SAP Business Data Cloud include user onboarding of new users, more pre-built integrations with third-party systems, enhanced self-service analytic features, and additional optimization for large-scale implementations. Better documentation and training resources would be helpful for the organization to adopt the platform more quickly.

The user interface of SAP Business Data Cloud could be more intuitive, particularly for non-technical users, and I would appreciate simpler navigation, user configuration, and better troubleshooting tools to improve the overall experience. Additionally, pre-built templates, integration, and guided workflows would also help to reduce deployment and management efforts.

Beyond the areas already discussed, I would appreciate more AI-driven capabilities, additional pre-built industry solutions, and enhanced usability and integration for SAP Business Data Cloud. These improvements would help the organization adopt it more quickly.

SAP Business Data Cloud acts as a single source of truth and helps different AI assistants stay in sync by allowing us to have shared business definitions, governance, and a trusted dataset, ensuring that multiple AIs and applications stay aligned to deliver more consistent and reliable results.

Regarding SAP Business Data Cloud's AI capabilities, I find that its governance and security are very supportive due to the strong security features that help ensure governance of trusted, well-managed, and secure data while meeting access control requirements.

Concerning the accuracy and reliability of SAP Business Data Cloud's AI outputs, I find that they have generally been accurate and trustworthy; since the platform works from governed, known, and reliable data, the insights are usually consistent and actionable. Although we still validate important business decisions, we have found the results to be dependable and valuable overall.

SAP's AI uses our official business data effectively, making the responses more accurate and trustworthy compared to AI tools that rely on generic information; as long as the underlying data is well-managed, the insights are reliable and useful for decision-making.

My overall rating for SAP Business Data Cloud is 8 out of 10.

For SAP Analytics Cloud, I can describe a few use cases. Most of the time I work on business best practices from business data from SAP Analytics Cloud integrated with SAP S/4HANA through Calc view or through CDS views. I have experience in retail, manufacturing, oil and gas, real estate, and public sectors.

What I appreciate about SAP Analytics Cloud is the AI features, which include interactive dashboards, drill-down capabilities, linked dimensions, and the ability to integrate more than one model in the same story. It is a platform for analytics, planning, and predictive analysis, so I can perform many activities in one platform.

SAP's AI uses my company's official data effectively through natural language processing. I can ask a question in natural language, English, related to sales revenue per month, per company, and it impacts the output, which gives me a table or chart. I can insert this chart or table in the story.

To ensure that data keeps the same meaning and relationships when it moves between different systems, I can integrate different systems not in model but through story and blending. If I have more models from different sources, I can blend all of them in one story to give one interactive dashboard.

I have used SAP Connect to integrate data with external parties or third-party platforms through OData or APIs. This integration had no negative impact and is more secure and readable for SAP Analytics Cloud, which provides secure systems and readable data.

SAP's support for AI and ML has enabled new use cases in my organization, as I have a category for predictive and support algorithms including time series, classification, and regulation in SAP Analytics Cloud.

Moving all my BW data to SAP Business Data Cloud makes my daily data operations faster and easier. I can do modeling in BW, and the data moves through import or live connection to SAP Analytics Cloud, which is faster.

I have connections between SAP and Google, specifically Google Drive for sales, but I have not integrated with Azure or any cloud other than SAP until now. Connecting SAP to Google through OData or APIs has changed the way my team manages and moves data.

I am using the integration between SAP HANA Cloud and SAP Business Data Cloud. This integration affects my data management processes through the cloud connector that connects to the database to HANA through Calc view or CDS views.

I have not used the self-service analytics features in SAP to change my data models quickly.

I think SAP will integrate Joule as soon as possible to help create AI more efficiently in storytelling.

Regarding SAP Data Product Studio, I ask what the data product is. While it already exists in SAP Business Data Cloud, I have not used it yet, but I think it is easy since everything is in one platform in SAP Business Data Cloud, Data Product, Datasphere, and SAP Analytics Cloud.

On the other hand, I would like to see the features of tables in SAP Analytics Cloud improved. The tables in SAP Analytics Cloud lack many calculations and features. I have many variables and need many functions available in tables, similar to what I have in Excel. Apart from the tables, there are no other missing features that I would like to see included or enhanced.

I have been using SAP Business Data Cloud for five years.

Regarding stability, I have had no performance or stability issues with it. It performs well.

I find SAP Analytics Cloud more scalable.

My experience with technical support and customer service teams has been very good. They help me with any issues I have.

Regarding the deployment process, I find it complex. SAP requires more configurations, and it is not easy to install SAP.

I recommend SAP Analytics Cloud overall. My review rating is ten out of ten.

My main use case for SAP Business Data Cloud is to connect multiple systems and derive data products using customized as well as standard solutions. This includes a data transition to use BW/4HANA and other legacy systems to transfer data to SAP Business Data Cloud PC, private cloud edition, and generate data products based on this.

SAP Business Data Cloud can be used fundamentally in the same way as Databricks where we can send the data to zero-copy sharing data with Databricks and perform machine learning, and then write back data into SAP Business Data Cloud and utilize it in SAP Analytics Cloud. The challenge is based on machine learning that we cannot implement in another tool, so we can use SAP Business Data Cloud for this purpose.

The best features SAP Business Data Cloud offers is basically one solution for all analytics and planning applications. The integration of all the third-party as well as SAP data sources in one platform allows us to deliver machine learning, analytics, and planning. Using this, the decision-making process is very easy with one platform.

SAP Business Data Cloud positively impacts my organization because SAP provides built-in data products that we can easily install and share the results with clients. The implementation of our organization's requirements is more straightforward than with other platforms, and decision-making is easier because SAP provides the built-in data products app that follows SAP best practices. Based on this, any business can cover their scenario easily, and decision-making increases profit.

SAP Business Data Cloud can improve by reducing the licensing cost because each level requires clients or partners to pay different licenses based on its functionalities. For instance, if we purchase SAP Business Data Cloud only for SAC, we pay the SAC licensing, and if we also purchase Datasphere, we then pay for Datasphere licensing, Databricks licensing, and BW bridge licensing. At each step, partners or organizations requiring SAP Business Data Cloud pay licensing for every tool. If we can reduce the licensing cost, it may help small or medium organizations to implement SAP Business Data Cloud, making it more popular globally.

My experience with pricing, setup cost, and licensing of SAP Business Data Cloud is that it is very high compared to implementation costs. If we could reduce this cost based on capacity units, then small and medium organizations could also avail themselves of this opportunity.

I have been using SAP Business Data Cloud for eight months.

SAP Business Data Cloud is stable.

The scalability of SAP Business Data Cloud can increase based on users' requirements.

The customer support for SAP Business Data Cloud is very good.

Before using SAP Business Data Cloud, we used BW/4HANA and SAP Business Object. The reason we switched is that BW and SAP Business Object did not perform well for planning and lacked built-in functionality, leading us to shift to SAP Business Data Cloud, where any third-party data sources or SAP data sources are integrated in one place. We decided to switch to SAP Business Data Cloud because it provides AI, machine learning capabilities, and predictive analytics.

I have done integration of SAP as well as non-SAP sources including third-party sources. There is a SAP Business Data Cloud cockpit where we can create a formation in which all the systems including third-party systems as well as SAP systems are connected into one place. This integration is also performed using SAP BTP for integration, and after the integration or formation creation, we can simply set up and create a connection on tools such as SAC or Datasphere or any other tool connected to it.

We can use workforce-related apps where we can identify how many workers are required to increase specific production or how many sales increase based on this workforce. For example, if we can increase sales, we can determine how much workforce is required. If we reduce the workforce, we then assess the impact on other sales or production. Based on this, we can easily generate profit or implement it in multiple organizations.

There is a return on investment with SAP Business Data Cloud, as it saves money because it performs results quickly and easily, facilitating integrations and speeding up operations compared to other analytics tools, thereby saving time and money.

I did not evaluate other options before choosing SAP Business Data Cloud; I only chose it because I heard good things from different clients and colleagues, making my choice straightforward.

My advice to others looking into using SAP Business Data Cloud is that it is a cementing platform that aligns multiple tools, both SAP and non-SAP, into one relationship and generates reports and dashboards very easily. Even non-technical users can work on standard SAP data products and generate results based on their business requirements, making SAP Business Data Cloud very helpful for any organization.

SAP Business Data Cloud is deployed in public cloud, private cloud, and hybrid scenarios because one organization might have a public cloud such as S/4HANA, another might have on-premises data sources, and a third could have both public cloud and on-premises sources. In this case, we can implement a hybrid scenario where we connect legacy data sources to SAP Business Data Cloud and generate results based on this.

The self-service analytics features of SAP Business Data Cloud provide fast results compared to manual input and enable multiple business decisions to be generated based on the speed of this service.

SAP Business Data Cloud support for AI and machine learning has enabled new use cases in our organization. For instance, we can use workforce-related apps, sales prediction, production prediction, and overall business scenario prediction. Using AI and machine learning, we can easily generate results and share them with clients.

When I connect SAP Business Data Cloud with third-party data sources, the reliability of data sharing is very easy and occurs quickly when connecting different data sources such as SAP data sources or any external data sources.

When keeping the same meaning or relationships when data moves between different systems, SAP Business Data Cloud can use data from multiple systems. Based on these multiple systems, we first define the relationships of the data, and when we share results with different systems, the meaning remains unchanged because we define the relationships before sharing results.

I find SAP Business Data Cloud to be a very good product, and I recommend every business organization use it. Based on these results, you can make decisions easily, and I gave this review a rating of seven out of ten.

My main use case for SAP Business Data Cloud is migration, as we have an upcoming migration from Native HANA to SAP Business Data Cloud where we need to transition from Data IQ to Data Bricks in the future.

For one of my recent projects involving HTTP and SAP HTTP, we migrated from native HANA views to SAP Business Data Cloud and built dashboard reports, including SAC and UFL reports.

We have yet to explore other aspects regarding my main use cases for SAP Business Data Cloud. From the Data Bricks perspective, we may integrate the Snow air or tickets API to generate tickets from the dashboard itself, since our current setup integrates HANA, Data IQ, and Snow tickets, and even includes LLM for text generation. This will definitely be a use case where we will leverage Data Bricks and bring SAP data to generate text and display it in the dashboard.

The best features SAP Business Data Cloud offers that stand out most include having all the data in one place, which is a significant advantage. With Data Bricks being introduced, the zero copy functionality is another major advantage that is really helpful for development files, allowing data to exist in one place rather than navigating between multiple systems, which creates complexity in our current setup.

I cannot confirm that SAP Business Data Cloud is saving time or reducing errors in my day-to-day work or my team's workflow, but the straightforward integration is valuable for having a business understanding and building flows easily. Currently, we are facing integration challenges in other areas that are quite difficult and require coordination with the infrastructure team to resolve.

SAP Business Data Cloud is adequate, but I feel the complexity that native HANA provided is somewhat lacking in Datasphere. Though I need to explore it more thoroughly, at a high level it appears that the complexity capabilities in native HANA or HANA Cloud are not fully present in Datasphere.

Datasphere layer definitely needs to be improved, and that is my personal view on the necessary improvements.

I have not yet seen a return on investment with SAP Business Data Cloud.

I have been using SAP Business Data Cloud for over a year and have been certified in it, which has made me inclined towards this solution.

I find SAP Business Data Cloud is yet to be stable in my experience. It is good in some respects, but in certain cases it is lacking, which requires further exploration.

SAP Business Data Cloud handles growth and increased workloads adequately in terms of scalability.

My advice to others looking into using SAP Business Data Cloud would be to make use of everything in one place and to utilize SAP Joule and generative hubs, as that is the right forward approach with the coming of AI into SAP.