SAP Business Data Cloud Reviews

SAP Business Data Cloud brings a unified foundation and solution for using AI from the embedded Databricks, and it is helpful for creating dashboards or reports in a short span of time using intelligent applications, which also reduces manual errors.

When creating dashboards, consider a working capital or revenue dashboard; you may have your own calculations which might not be suitable for the business you are developing for. However, with SAP Business Data Cloud, you have a unified structure for all businesses with a whole semantic structure. You won't have manual errors, and you can directly plug into the data source or data products to have dashboards and reports.

If you need dashboards or reports regarding a working capital application, you can search in the intelligent application to find a suitable application. For example, if you need a working capital dashboard, you can find it there and connect it with the data source. You can then have real-time data processing in SAP Business Data Cloud with whatever data source you have, whether it is from a third-party source or SAP source. You can connect and have working capital dashboards or reports in a small amount of time without much development. You can use it directly, and even if you need any customization or custom logic, you can make a copy of the model and make the changes accordingly to have it as a separate copy.

SAP Business Data Cloud has prebuilt data products and insight apps, which are intelligent applications, and a unified data platform that brings together the semantic constructs of both SAP and non-SAP data. It also has a zero-copy delta sharing approach, which means we won't persist or store the data in some places. We will directly get it from the source system and process it accordingly. We can also use the AI features and the embedded Databricks, so we can use the features of Databricks.

Zero-copy delta sharing means SAP Business Data Cloud can share data with another platform without physically duplicating it or storing it. This is helpful because the data stays in the original place, which reduces data movement and avoids extra copies, making the sharing easier and more efficient in a governed manner. Regarding AI features, we can use Databricks where we can use Python or script language for planning or any other use cases.

SAP Business Data Cloud helps the company by providing a space where we can trust all our data to SAP, and leadership can make decisions faster with less effort. It reduces the time spent on developing objects like reports or dashboards and also helps in planning, forecasting, and AI features across all modules including Finance, HR, supply chain, and others.

SAP Business Data Cloud is a new tool, and we need much more time to use its full capability and understand the advantages and disadvantages. As of now, it is based upon the consumption unit; whatever dashboards or reports you use from the AI will consume the capacity unit. We will need to figure out the consumption unit or the units spent on the business for a particular report and compare it with the manually developed report, which will be accessible at all times without any restrictions.

I have been working for the past four years and I have known multiple technologies including SAC, Databricks, Datasphere, HANA, and native HANA.

From what we have worked with, SAP Business Data Cloud is stable. There are no issues in the connectivity.

SAP Business Data Cloud is a SaaS product, so it comes as a BTP solution, and the scalability is better.

SAP Business Data Cloud subscription-based pricing is completely based upon the capacity units used by the business users. If you are using dashboards or intelligent packages often or repetitively, the capacity units will also increase, so the pricing and other factors will vary.

We directly chose SAP Business Data Cloud since it is a SAP product which exists in our SAP environment. It also has the features of Databricks and a few other applications which will be added more in the future, and the existing BW can be supported in the system. We can also connect with Datasphere and HANA Cloud.

We have not used a previous solution based on AI.

Currently, if you are using an on-premise system, you first need to move your system to the private cloud edition and connect with SAP Business Data Cloud. If you are using HANA Cloud directly, you can use SAP Business Data Cloud directly. It would be much more helpful if SAP Business Data Cloud features were available directly in the on-premise system by having any external software or application instead of moving it through the private cloud editions.

We can go for SAP Business Data Cloud if we can use the intelligent application or any third-party data products. If you need to use the AI features, we can use it from SAP Business Data Cloud corporate and the LLM models we have. If you are expecting many other features, you can first cross-check with the SAP team or you can have a trial account, then you can make the evaluation on purchasing or having SAP Business Data Cloud.

Since we are using zero-copy delta sharing, the speed and reliability of the data are much faster and easily governed since we don't have duplications in multiple layers.

Regarding how the integration affects our management process, it will actually reduce the difficulty in maintaining and governance of the data.

For example, if you need to create a dashboard, and if the same report or development also exists in the intelligent application, instead of replicating or redeveloping the whole logic from scratch, which will be time-consuming and incur costs in manpower, you can save money by using the intelligent applications that already exist and just need to plug in with the data source.

Data products hold the metadata and semantic layer with the meaning of the fields or the data. For example, a material number and what it stands for, including the description and other details, are stored in the metadata.

I have used the self-service analytical feature in SAP Business Data Cloud. The embedded AI tools include predictive modeling features. This helps the team to make developments quickly, so we can have the reports in hand in a short span of time, and the accuracy is also better. We just need to recheck the logic and make sure the business is aligned with the existing logic, and it will help the business to make quick decisions.

We can expand the semantic layer with the knowledge graphs and have AI agents such as Joule in our backbone which will be helpful in understanding complex business relationships. We can have more data products which will be useful in the future, and SAP has promised to have more data products from other sources in the future. This will be very useful for the business.

Accuracy depends upon the logic; it will give 100% accuracy, but the logic behind it needs to be suitable for your business case. It may be different in some cases; at that point, we need to go into the customization logic. Otherwise, it shows 100% result.

We can have multiple data products and much more flexibility by connecting to third-party sources, which will be helpful in the future. I would rate my overall experience with SAP Business Data Cloud as an 8 out of 10.

My clients mainly use SAP Business Data Cloud for financial planning and financial reporting. For example, clients in the public sector use SEC reporting to evaluate projects, budgeting, and percentage from the budget according to the completion tasks. All of the financial reports on SAP Business Data Cloud as a reporting tool are very accurate and very smart.

In my opinion, the most useful and valuable functions in SAP Business Data Cloud are the financial reporting, which is the main component. In the project system, you could find a good reporting tool because there are standard reports in SEC. You could use it by plug and play, as the creation of the story and the dashboard is already embedded in the system, so you could use it directly.

SAP Business Data Cloud makes daily operations with the data faster and easier for the end users. The platform is very user-friendly because there is not much coding or any complicated scenario. The end user could use it very easily.

The main benefits end users receive from SAP Business Data Cloud include deep insight analytics on cloud to plan and to get the real live data on a unified view or consistent view to be aware and to take decisions, to speed up performance, and to know the gaps and to fix the gaps. It is a very smart analytic tool.

A potential area of improvement for SAP Business Data Cloud is the component between the intelligent data which is actually coming from outside of SAP. Data Sphere needs to be affordable for all customers because it is a new technology and it is a very good start for SAP to shift to cloud in this tool, especially because this tool actually works with another one in the database. SAP acquired database tooling and new tooling to absorb this data into SEC or in the SAP umbrella, for example on BTP because SEC is one of the analytic pillars in Business Technology Platform. Data intelligent, data flow, and data pipeline are all very much more expensive now. What we need is to decrease this cloud solution because it is a cloud and we have to democratize this.

I have been working with SAP Business Data Cloud for over ten years, since the beginning of the year.

I would rate the stability of the product at ten.

I would rate the scalability of the product at eight.

My mark for SAP technical support and vendor support depends upon the region, but I can rate it at eight also.

A main competitor for SAP Business Data Cloud in the market is Microsoft. Microsoft has a reporting tool that is not bad, but not for planning because SAP in planning is advanced. The competitor now is dying in front of the German software, so there is no competition. SAP is acquiring a lot of solutions to make it very smart. For example, Signavio provides a reporting tool for process mining, and another one for user adoption called WalkMe for teaching the end users how to use this solution or how to make the persona. In addition, they are now embedding a lot of AI algorithms everywhere. At the end, they become good in integration tools because the integration suite has no competition also. If the integration is fine to use and stable, the data will be a good source and a true source to be live. A lot of tools providing SEC with a lot of data could be good, but AWS is using SAP in financial cloud, and Google is using SAP. Microsoft is using SAP and Microsoft itself is using SAP in their selling their products all over the world. So why are those big names using SAP? There is no competition.

The integration between S/4 HANA, SAP HANA Cloud, and SAP Business Data Cloud is effective as it is a cloud to cloud integration. It is much easier than the integration between hyperscaler or on-prem systems and SAP on cloud. Cloud to cloud is very easy because the database is already designed for that. HANA Cloud and Vector options are all well-defined because they created this for that. However, the Data Sphere layer is too expensive to put it inside the integration to make the data unified and very smart. SAP has to make this layer much easier for implementation and they need also to decrease the cost for this integration tool because it is a catalog.

Integrations with platforms including Snowflake, Google, or Microsoft work in SAP Business Data Cloud through SAP Integration Suite, but in a platform called Business Technology Platform. Even if I need to adjust SEC to absorb the data from on-prem solutions using cloud keys, SAP provides the iFlow and already free to see it in Discovery Center. You could apply only the iFlow according to certain technical connections or connectors or even Event Mesh. Integration Suite is the first one all over the world. You could connect SAP and non-SAP directly in BTP. If you need a certain data to be a certain data view or certain sensitive data, it could be very valuable for certain reporting tools in SEC. You could do that with the data view. The core data view, which is actually a very essential setting in Fiori, the front-end system, allows you to select a certain data and a certain standard reporting dashboard or whatever you need. If you need non-SAP to merge non-SAP systems to be merged with SAP data, at the end you could see an integrated scenario data set and data dashboard. For example, reporting tools, you could do that because we already did it in CX and ERP on SEC and also Salesforce and ERP on SEC at the end. It is multi-linking and a multi-tenant solution and you could link SAP and non-SAP together in SEC.

I ensure that data keeps the same meaning in relations when it moves between different systems through what is called live data.

I would rate the pricing of the product as moderate in SEC without tools. However, if we need to complete the solution for planning and for Data Sphere, it will be very expensive. But for reporting, it is acceptable.

It is very easy to integrate SAP Business Data Cloud with third-party platforms as it is very easy to connect the data source for SAP and non-SAP because it is a cloud setup.

I am still intensively working with SAP Business Data Cloud.

People use SAP Business Data Cloud to work together with some AI assistants as it is embedded actually in SEC, the Ask Joule. It is called Ask Joule and it is free. It is free to create a story and create a dashboard by using long language model. You could chat with the Copilot or the Joule assistant to create your certain reporting tool, dashboard or certain reporting after you write the prompt. It is easy to use and it is free to use SAP Business Data Cloud. You can ask SAP Business Data Cloud to create for you a sales report or a financial closing report and actually in SAP Business Data Cloud it is easy to do that because they have the template of the story and only they could activate the story and show you the data in a dashboard.

The self-service analytic feature in SAP Business Data Cloud helps to change the data model quickly. The self-service is actually through an app in Fiori. The embedded analytic is different from SEC. The embedded analytic per module or per functional area could be at the end of the transaction, you could see the embedded analytic in Fiori, in the system itself. For example, S/4HANA Cloud or S/4HANA on RISE program. You could see it in Fiori apps, which is the front end of the system. But in SEC, the analytic provides more deep insights because you have to create the story and you have to mention the dimension of the data. Also, you have to set up to figure out the dashboard with a certain dimension and certain view. In SEC it is deeply analytic, but in self-service analytics which is in Fiori, it is embedded and automatically displayed. But there is a self-service in SEC also, another one, but it is also working with the SEC app.

There is an embedded AI which is handled in SAP. It is already embedded and there is no decision to take it or leave it. It is already embedded. There is advanced AI above the base. There is a base AI which consists of assistants and chatbot called Joule. Joule could assist the user to create sales orders, create purchase orders, mention maintenance orders or search for something very advanced or create something very complex and complicated workflows, and could show the customer what they have to do today according to their role. The baseline for AI is already free also. The only setup we have to do is in the implementation. But above this, with a specific scenario and specific model, because you have to buy the license and the license is already offered in the bill of material, it is by AI unit. So if you need a specific or customized AI scenario or model, it is called a model in AI Launchpad. You could activate a certain model for certain business processes, then you can use it per AI unit.

There is nothing to suggest for additional functions for SAP Business Data Cloud. They created a design according to a latest UI or UX design, which is actually very easy to use and they did not leave anything actually because we do not need to make the screen very busy for the end user. We have to make it simple to use. The back end is the technical connection, which is in BTP setting, but in SEC, it is fair enough to use it that way. My overall review rating for SAP Business Data Cloud is nine.

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 data sphere 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 Data Sphere 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 Data Sphere 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 Data Sphere, 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 Data Sphere 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.

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 data sphere, 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 data sphere 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.

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, Data Sphere, 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 Data Sphere, we then pay for Data Sphere 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 Data Sphere 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 Data Sphere. 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 Data Sphere.

Data Sphere 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.