What advice do you have for others considering SAP Analytics Hub?

In SAP Business Data Cloud, we're using Joule and Just Ask on the SAC side, but we haven't used any other AI features yet. As I'm a consultant and we're not using this on our own, what I see is that when you train the model in SAC, the answers are fairly accurate. It used to be a gimmick, where you have text-to-SQL basically, where the system translates this. This has improved significantly over the past year. It's actually a feature that you're not only showing to your clients that this is possible, but it's actually usable for them. That has improved significantly. I have not seen users change data models. When I talk to customers about self-service BI, it's always limited to the front end, such as SAC stories. We have not come across customers who really establish this data steward and data space concept where you have an owner within the business for HR, finance, or sales, which SAP is promoting. We have not come across clients that actually use this. Any self-service is limited to the front-end SAC piece. Whether SAP Business Data Cloud requires any maintenance on my end depends on how you define maintenance. As with every tool, it's more housekeeping where you keep the system clean and don't clutter it with a lot of test or development objects. Beyond that, no. SAP takes care of that. We have not used SAP Connect to integrate data with external parties or third-party platforms. All the implementations that we have done are SAP data only. The only external data we've connected was from SQL, using an ODBC connection and the SAP tool DP Agent, but not SAP Connect. We have used BDC Connect, which is that component that you need in SAP Business Data Cloud to be able to share data with an existing Databricks environment. Overall, I would rate this product an eight out of ten.

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.

If data is coming from different types of sources and needs to be delivered to Azure, Snowflake, or any other kinds of sources, SAP Business Data Cloud would be a very logical solution. It is one of the best solutions for maintaining data integrity from different types of sources and delivering it to all the major ERP tools. SAP Business Data Cloud is a new tool that is already evolving. I think we should all be excited to see where it is heading and how much potential it has. Considering the robustness and reliability of the solution, SAP Business Data Cloud's merger with Databricks enhances its accuracy and reliability. It is constantly learning, so the more AI models it comes across, the more accurate and reliable it gets. In terms of SAP Business Data Cloud's governance and security, it is very robust. Its data security is totally dependent on authorizations, and it is rigid in ensuring that spaces, objects, and reports are all authorization-relevant so that not anybody can access anything. In terms of governance, it can easily be governed because the complete flow of all the objects can be seen in a single screen. I would rate this review an 8 overall.

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.

Since my experience with SAP Business Data Cloud has primarily been through certification training and learning projects, the biggest impact has been made on my understanding of enterprise data management and analytics. One specific benefit was gaining a clear understanding of how organizations can integrate data from multiple sources into a single trusted environment for reporting and decision-making. It also improved my knowledge of data governance and data modeling and analytics workflow. From my project perspective, my background in data analytics and AI has become easier to connect with real data use cases. For example, I was able to better understand how business data could be structured and analyzed to support forecasting, trend analysis, and executive reporting. While I do not have production metrics to share, it has significantly improved my ability to work with data-driven solutions and enterprise analytics concepts. It definitely increased my confidence in handling enterprise analytics concepts. Before learning SAP Business Data Cloud, I mainly focused on the technical side of data analytics, such as data processing, machine learning, and visualization. Through SAP Business Data Cloud, I gained a better understanding of how data is managed and governed at the enterprise scale. As a result, I now approach projects with a stronger focus on data quality, integration, and business context, rather than just analytics itself. This helped me think more strategically about how data supports business decisions. In terms of efficiency, having a structured framework for understanding data flow and data analytics processes reduced the time I spend on trying to connect different pieces of information. It also improved the quality of my work because I became more aware of the importance of trusted and well-governed data when generating insights. The features that stand out the most to me are the ability to unify SAP and non-SAP data while preserving business context. This helps me create a trusted data foundation for analytics and reporting. Another feature I found valuable is the integration with SAP Datasphere, which makes data modeling, governance, and access management more streamlined. I also appreciate the data analytics capabilities through SAP Data Cloud and SAP Analytics Cloud, where users can create dashboards and gain business insights from a single platform. Finally, the platform's support for AI and advanced analytics is very promising because organizations can use high-quality, governed data for forecasting, planning, and intelligent decision-making. From my experience, the overall process was fairly straightforward. Once I understood the platform architecture and the relationship between SAP Datasphere and the analytic layer, the interface is designed to help users organize and model data in a structured way. The main challenge for me was the initial learning curve. Since SAP Business Data Cloud includes concepts such as data modeling, governance, semantic layer, and data integration, it took some time to understand how everything connects. However, after working through training exercises and other use cases for creating data models and building dashboards, it became much easier. One additional feature I would highlight is the governance aspect. Having trusted, well-managed data is extremely important for analytics and AI use cases. SAP Business Data Cloud does a good job of maintaining data quality and business context across different sources. One concept I found most valuable during my SAP Business Data Cloud training was its focus on preserving business data context and data segments. Rather than simply moving data from one system to another, the platform helps maintain meaningful relationships and business definitions associated with that data. In my training scenario, I learned how SAP Datasphere and the business data fabric approach ensure that the data remains consistent when it is integrated from different sources. It reduces the risk of different teams interpreting the same data in different ways. What I found particularly helpful was the emphasis on data modeling, governance, and semantic layers. These capabilities help me maintain consistent business definitions and relations across systems, which is important for accurate reporting, analytics, and AI-driven insights. Although my experience was in a training environment, I saw the value of connecting SAP Business Data Cloud with external platforms because it helped me reduce data silos and create a more unified view of business information. The biggest benefit is the improvement in data sharing, integration, and access to analytics across different systems. On a scale of one to ten, I would rate SAP Business Data Cloud an eight out of ten. The platform provides strong capabilities for data integration, governance, analytics, and maintaining business context. I particularly appreciate its unified approach to enterprise data and its potential for AI-driven insights. The reason I would not give it a higher score is the learning curve for new users and some complexity around the set modeling. Overall, it is a very capable platform with a lot of value for organizations managing large-scale business data. My advice is to start with a clear business objective and invest time in learning the platform architecture and data governance concepts. The learning curve is manageable with training, and the platform offers strong capabilities for data integration, analytics, and AI when used efficiently. I rate SAP Business Data Cloud an eight out of ten overall.

I would recommend having a clear data strategy before implementation and focusing on the business outcomes you want to achieve with SAP Business Data Cloud. If your organization needs to centralize data and improve reporting and analytics, SAP Business Data Cloud is definitely worth considering.I believe I have covered the key points about SAP Business Data Cloud. SAP Business Data Cloud has helped improve data accessibility, reporting efficiency, and decision-making. While there is always room for improvement, my overall experience with the platform has been very positive. I would rate this review a nine out of ten.

I have used the self-service analytics in SAP Business Data Cloud, and they help change our data models quickly. It is quite good. They still need some human intervention while we are doing this, but the capability is present. Essentially, we can shorten the development team in this process, definitely. It also reduces our development time. We did not need to develop a requirement again and again. We can reuse those models or Insight apps. Moving our old data to SAP Business Data Cloud has made our daily operations faster or easier. I have mentioned that many clients have old on-premise systems. Some of them still have 7.5, some moved to BW for HANA. They can now take the private cloud edition. If they move to the private cloud edition, it is very easy. We did not need to do a greenfield implementation. Instead, we can do the brownfield approach. Over there, as I mentioned earlier, there are some disturbances we have seen for custom function modules, but that is quite manageable. Instead of getting a big team of developers, with the help of experts on a particular platform, we can shorten this duration. Connecting SAP with platforms like Snowflake, Google, or Microsoft has changed the way my team manages and moves data. Many customers are using different landscapes like Databricks, and Databricks is kind of leading organizational data into their AI capabilities. We can now directly work on something, develop some AI capability, or work on AI capabilities or some AI solution that the client requires. With zero delta sharing, it is a bit easy. Instead of storing the data in the traditional way where we used to push the data into another system, we can directly share and do this on our AI agents or generative AI components for direct development in Databricks. That is quite helpful. The zero delta share copy is quite helpful and is also saving a lot of money and is cost-effective. I am using the integration for SAP HANA Cloud and SAP Business Data Cloud. This integration affects my management processes as I am working with one manufacturing client who wants a single platform where they want to decommission all their previous different landscapes over the region and want a single global region landscape. In that case, we proposed SAP Business Data Cloud because whatever data we are getting across the platform, we store in a single landscape. We can consolidate and transform into a single landscape. Furthermore, this live replication gives us an edge over traditional data warehousing solutions like BW. This affects things such as time-divided regional divisions due to time zone constraints. Previously, traditional on-premise systems were hosted on on-premise servers. Now, SAP is hosting in the cloud, so it was quite easy to integrate all landscapes into a single platform. This reduces the complexity of the organization. With SAP, I am using Data Product Studio with SAP Business Data Cloud. The benefits I have seen in using these two products together are that it is saving time of rebuilding. Suppose someone had already built something according to my requirement. Then, going through the data marketplace, instead of developing everything, I can directly get that data product from the data marketplace. It was saving my implementation and development cost for the project and also time. It is quite helpful. SAP Business Data Cloud is mostly deployed in the cloud. Now clients want to move to the cloud itself. Most of them want to upgrade to a cloud solution itself. I did not work on a hybrid model solution, but I have heard from my excellence team that they are also trying to implement the hybrid solution as well. I have worked on the integration with the S3 bucket and Alteryx system. Apart from that, I did not work on other integrations. Most of the clients want to buy the S3 bucket itself because its costing is comparatively very low in the market. Most clients want to store their historical data into the S3 bucket itself. Most of my clients are from either the energy sector or the manufacturing sector. They are huge clients. I have told you, unless they do not have the priority of performance, then most clients, for the ERP system, are buying an S4 system, but for the integration and for the data engineering, they used to buy or choose other platforms. For this, one section over SAP can work on pricing for the smaller scalar organization. SAP Business Data Cloud does require some maintenance in that the admin team or Basis team used to take care of these things. Mostly now it is moved to a cloud solution, so it is easy. Prior to the on-premise system, it is quite a bit easier to install the updates right now. The main point is that SAP has really worked on reducing the complexity of installing the updates and on these things, so that was the great part. I would rate the overall solution as an eight because there are some platform limitations that need to be worked on. Sometimes, the SAP support team itself will give a direct statement that it is standard functionality. That is why I have cut two points. Otherwise, it is quite good. If the data volume is huge and the priority is performance, then I would recommend SAP Business Data Cloud. I am in consulting myself. I used to recommend to clients that if they want to take performance as their number one priority and they want to get into new technology like AI as well as they want to get into the cloud, then I assure them that they should get into SAP Business Data Cloud. But if cost is their first priority, then they can still take the private cloud edition and transform their old legacy systems in a phase-wise manner over time. However, costing is something that is impacting. From my overall experience, costing is something where other platforms get an edge over SAP. I would rate this review as an eight out of ten overall.

The integration with AI and ML makes my life much easier, and while I have not explored Databricks in depth yet, whatever I have heard about it providing add-on capabilities is a game changer. SAP provides an excellent framework for business reporting and regulatory requirements, considering those factors in their solutions. You can comply with regulatory frameworks much better because SAP imposes strict controls, where every change is audited. You can audit and keep track of everything going on. When discussing regulatory frameworks, SAP BW typically forms part of SOX audits, meaning it is a regulated system with proper processes in place. However, if you take data out of SAP, while it offers more flexibility for analytics, it also creates risks—particularly concerning data integrity, such as HR or core finance related data, which could lead to information leaks. I rate this product an 8.5 out of 10 overall.

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.

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 do not have experience with Cognos, which is why I was interested in the review, but I am a consultant and I'm implementing SAP Analytics Cloud. I work for an SAP partner and I am a consultant. The predictive analytics features of SAP Analytics Cloud include four different tools: regression, time series, and I don't remember the third one now, and the latest edition is Monte Carlo simulation, which works with uncertainties very well. This is also an advantage, and you can implement the result of the prediction to your reporting or to your planning scenarios, doing what-if scenarios. The interactive data visualization is rather intuitive, and it can work for end users who just run the report and maybe click one filter. You can also create very sophisticated and highly developed dashboards with a lot of scripting and logic behind the screen. It has the tools for every type of user for the analysis. The process is usually straightforward for me, but the biggest challenge always with the reporting tools is to fit it in the customer's environment. This is always the case with all tools because you need to fit it in their infrastructure and ensure connectivity. All types of connectivity are well described in the connectivity guide of SAP Analytics Cloud. If we struggle with something, it is always on the customer side with their environment, not with the tool itself. SAP provides enough documentation and enough material for me to find a workaround. I am not a BI consultant at SAP CZ anymore; I am a consultant in NTT DATA Business Solutions. I have been working in my current field overall for the past twenty years. I rate SAP Analytics Cloud as nine and a half on a scale from one to ten, with ten being the best solution and one being the worst.

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.

I advise others to be aware of the total ownership cost of the product for the next three to five years. I rate it a seven out of ten.

The solution’s maintenance is easy. I rate it seven out of ten. I recommend the solution if you do not have specific business requirements, predictive data, smart data planning, or Analytics. SAP servers are easy. If you have a diverse set up with loads of data and want to curate data to create insights from different data sources, then you do not prefer SAP. Overall, I rate the solution a five out of ten.

I would say if you are already using other SAP products like ERP, then SAP Analytics Hub is also a really good tool to consider. If you do not use any SAP products, then probably it's better to explore other tools first. Overall, I would rate the solution an eight out of ten.

I would rate SAP Analytics Hub a nine out of ten. Despite its complexity, the system is versatile enough to accommodate a wide range of scenarios, making it suitable for various use cases and considerations. Currently, we are customers of the system, but I also have prior experience working with the system as a partner. In my current role, I am actively engaged as an SAP customer.

In addition to this product, we have experience with the entire SAP suite. My advice for anybody who is considering this product is that if you're SAP-centric, then the SAP Analytics Hub is a good choice. If you are not SAP-centric, then it is not. I would rate this solution a six out of ten.

The SAP Analytics Hub is a product that I recommend because, for SAP customers, I think that it is a good fit. I would rate this solution an eight out of ten.

My first preference is always SAP because its products are more structured. SAP has its standards, so go with SAP ERP. That way, your customer is a standard object. There's a standard keyword that SAP has, as well as the concept of dividing one object into different levels, like the key text, hierarchy, and attributes. That's a good thing about SAP. But if you're going to with any other ERP or data warehouse, these things will be lacking. SAP will always name all objects with a unique ID. Whether it's in ERP or BW, we get a unique ID for all the objects. That unique ID will not be available in other reporting tools or other data warehouses. And that's a bad thing about SAP. But ultimately, it's based on the company level. I will not recommend SAP to a small company because it would have to pay a lot for SAP, and not only for the implementation but for the maintenance. I will recommend a small company go with Power BI or Tableau. Most such companies will have Microsoft products, so it's easy for them to configure, whether they have data in SharePoint or in something like Microsoft Access. And Power BI is cheap. For mid-level or large-scale companies, I always prefer SAP. SAP will always help you to simplify your data. But if I'm connecting data with Power BI and Tableau, I always have to think about how much data I have in the back-end, because that will affect the performance of my reports.