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

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.