SAP Analytics Cloud Reviews

It is a comprehensive BI solution that provides reporting, planning, and predictive analytics in one solution. You don't have to buy three different products.

It is very flexible. It can be implemented very quickly. It has a lot of out-of-the-box scenarios that you can use for quick deployment.

It should have the flexibility for scoping the story and models. When you use it in a three-layer architecture, you struggle with the fact that you usually have just one SAP Analytics Cloud tenant, and you have to switch the connections, which might be an issue for bigger developments. For the development role, there should be an option to switch between development and production scenarios. 

I have been using this solution for a year. I am using its latest version.

It is definitely stable.

It is scalable. Many customers are using this solution. They usually have less than 100 users.

Their support is fine. Its information and support pages are also very organized.

It is a cloud solution. You don't have to install it. You just buy the license and activate the users.

Its licensing is on a monthly basis.

I would recommend this solution. Generally, their roadmap is full of good innovations. They focus a lot on things that can be improved and bring the improvements that you don't even realize that you need. They are great.

I would rate SAP Analytics Cloud a nine out of ten.

We use SAP Analytics Cloud mainly to get insights into the customer data, such as what type of orders, the type of customers, and correlations among the orders. For example, we also get insights on cash flow, the frequency of orders, and causes for unfulfilled orders.

The data we get from SAP Analytics Cloud is more analytical, where we try to analyze what happened. Based on our analysis, our customers can explain the pitfalls in their current systems.

What my customers like best about SAP Analytics Cloud is the dashboard because it's pretty good.

I also find the data extraction feature, where you extract data to an Excel sheet, useful.

One area for improvement in SAP Analytics Cloud is incorporating Python into the coding. That functionality is available, but it's not as efficient, and it's a bit difficult sometimes to do it, so that could be improved.

Compared to the IBM solution, per many of my customers, SAP Analytics Cloud is less user-friendly than IBM, so this is another area for improvement.

I've worked with SAP Analytics Cloud for more than a year and still use it, though it's not every day that I use it. My usage of SAP Analytics Cloud is on and off based on the client's requirements. My company is an SAP solutions provider, but it doesn't often get requests for SAP Analytics Cloud here in India.

Looking at my period of usage for SAP Analytics Cloud, it seems long, but the actual work is not so much. Sometimes, there's none. The last time I worked with the solution was one month ago.

SAP Analytics Cloud is stable, so my company hasn't received many complaints from a stability point of view.

The scalability of SAP Analytics Cloud is eight out of ten.

My company hasn't had the opportunity to work with enormous data because clients only had a few hundred GBs of data, so not a very big database to work with, but then, with SAP HANA coming in, it's becoming easier to deal with the data. It's much more efficient to handle larger data sets versus connecting with SAP ECC. Connecting to SAP HANA makes the process more efficient and the data transfer much more effortless.

The support for SAP Analytics Cloud could use some improvement because if the client is pretty important, my company receives faster replies from the support team. However, it takes longer for technical support to reply and resolve the issues if the client isn't that big.

I'd rate SAP technical support as six on a scale of one to ten.

Neutral

I was also involved in one or two projects trying to connect SAP Analytics Cloud with IBM Analytics, and it was a good experience, but I haven't worked with an IBM solution. Still, I feel IBM is more flexible because it uses different languages versus SAP Analytics Cloud, where you have to use SAP proprietary language by default. You can use other languages, but you need to do some configurations first, while IBM, out of the box, supports multiple languages, so that's the big difference between SAP Analytics Cloud and IBM Analytics.

The initial setup for SAP Analytics Cloud was pretty easy, primarily because my company only works with SAP solutions, so connecting SAP Analytics Cloud to an SAP environment was easy, with not much hassle.

My company works with multiple solutions, including SAP Analytics Cloud and traditional BI tools.

Because of the SAP partnership, my company doesn't get data from other systems; instead, it only uses data from SAP to create all data services.

Overall, SAP Analytics Cloud is a good solution, and if you're dealing exclusively with SAP products, then it's a good marriage. It's a seven on a scale of one to ten.

I recommend the solution to others because it's excellent. It's a good fit in the overall landscape of SAP.

My company is an SAP partner.

We are using SAP Analytics for complete enterprise. We are customers and I am a business analytics manager. 

The product has helped us to unify reporting between all departments and throughout the entire company; it has improved our organization by streamlining operations. 

Data integration is very good. It's a very good product and cost-effective.

I would like to have more tabular reporting capabilities, like page reports. 

I've been using this solution for more than two years. 

The solution is stable. 

The solution is scalable.

We've had a good experience with customer support. They're active and we have an exclusive relationship manager to move us forward with the product. It provides us with extra care.

Positive

The previous solution we used was not addressing our enterprise needs. 

The initial implementation took a week and then we gradually adopted it throughout the company. Deployment was carried out in-house and we currently have 200 users who range from C-level to end users. We have three people who help out with maintenance and they have backgrounds in engineering or architecture. 

Analytics has improved our bottom line by improving processes. 

We get competitive rates for our licensing so I'm not complaining. 

We evaluated Tableau and Power BI before choosing SAP. The decision to go with SAP was connected to our underlying data. If your data is on SAP and your data warehouse is SAP Business Warehouse, as in our case, it made sense to go with SAP Analytics. 

I think it's important to be strategy-driven based on your underlying data. If you are an SAP-based organization, this is a good solution. If you are non-SAP, then you might be better off looking at an alternative solution. 

I rate the solution nine out of 10. 

I use it if I want to see boardroom dashboards, or to see a combination of things in a chart. I also use it for planning analysis.

One feature I've found most valuable is Discovery. It is a logistics tool that will place the dashboard for you on the fly. For example, if you select a country, it will give the entire picture of where a product is high and where it is low. Another feature is peak capabilities in the applications. Another is planning KPIs

Now, improvements are coming quarterly whereas previously it was on a monthly basis. Even with this, it is still a market leader.

I have been working with SAP Analytics Cloud for almost one year.

I don't know that it's stable. This cloud is occupied by major businesses who want to do a dashboard on the fly with data discovery.

In terms of scalability, it is cloud-based so it is scalable. 

No one should be able to go into our access, but they will give the space. You're the owner of the product space.

I have rarely needed to be in touch with technical support for the setup.

Previously, I used to work with products called Explorer and HANA and they didn't support it in a quick manner.

I have previously used Tableau.

The initial setup was easy and user-friendly, I did it by myself without any consultant.

On a scale from one to ten, I'd give SAP Analytics Cloud an eight.

We have a partner relationship with SAP Analytics Cloud and use an internal domain.

The product could be improved by establishing connectivity with SharePoint because SharePoint has a similar data set that could be valuable to end users and will assist in improving the visualization of a dataset. Currently, we can connect with different major databases. However, sometimes we have difficulty connecting to a SharePoint list.

We have been using this solution for a year and a half.

The solution is scalable.

The solution is stable.

We use both Tableau and SAP Analytics Cloud, and sometimes we find that SAP Analytics performs better than Tableau.

I rate this product a nine out of ten because it is easy to use, publish, and understand.

Analytics Cloud integrates your system with a platform, takes data from it, and interprets those data. We have two clients using it now.

It's easy to connect Analytics Cloud with other SAP solutions, and it's also effortless to deploy. You don't need much technical skill to set it up. It's as easy as setting up a tablet. I said tablet before. It's very easy to actually set up.

SAP could add more templates to the platform.

We started using SAP Analytics in 2020, then moved the system to Azure. We decided to also use Analytics Cloud as the reporting tool. Analytics Cloud is similar to Tableau, Domo, etc.

Analytics Cloud is a highly stable solution.

Analytics Cloud is scalable because it's cloud-based.

Setting up Analytics Cloud is straightforward. If you use SAP solutions, you can deploy it in a week because there are templates in the system. There are reporting templates you can leverage, but you can also build a custom template in the system. It depends on the number of reports, but it shouldn't take more than a week or two.

The license is very cheap

I rate SAP Analytics Cloud nine out of 10. It's a very useful tool.

We have many use cases. These include the SAP Analytics platform tool and the SAP Analytics Cloud project. Some of the tools these products provide tend to fit the same situation. But other use cases can depend on the clients' resources including on-premise servers, or on-premise application. There are many installation requirements, for example in Cloud connect. We often need consultancy support from SAP to assist us.

SAP Analytics Cloud is very popular amongst most companies around the world. There are three editions of the product. 

The analytics privacy is the best in the market in BI platforms. SAP Analytics Cloud has a planning tool and integration tool. It is the best business intelligence platform. It's not very complex. Its many features make it the best in the market. It also has new extra storage. I have had very good experiences with SAP Analytics Cloud. There are many standards for setup. The SAP Analytics Cloud connects with the SAP ERP Central Component (SAP ECC) or S/4HANA (SAP's ERP for large enterprises) or any other things around the application server. SAP Analytics Cloud has machine learning installed, which includes a Smart Discovery and a smart BI tool. It's the best feature if you need machine learning. The Smart Discovery is the best tool for me in catalog discovery tools. In addition to SAP Analytics Cloud, there is SAP Data Warehouse Cloud, includes other tools about business intelligence, and SAP HANA Cloud tools

SAP Analytics Cloud can connect to any server architect, database server, or application server. There are many models for implementation to the Cloud or on-premises. The implementation process for SAP Analytics Cloud could be improved, as there are many application servers, in the company. Also, there are many applications. This implies there are many KPIs to connect with other applications. Connection and integration with other applications have a lot of restrictions at the moment. As a result, the implementation process is complicated. SAP Cloud connect is easier to implement on-premises. Future releases could include a provision to remove some of those restrictions. 

Previously, I had 15 years of experience with SAP BI, using Business Objects. I have been using the latest version of SAP Analytics Cloud, for two years as a consultant. I used SAP Business Objects premium, previously, and SAP Analytics Cloud version. My related lengthy experience with Business Objects has helped me learn SAP Analytics Cloud more easily in the last two years. I am mainly experienced in using the IDM tool. I lead on Cloud installations and I have had a lot of training. I also know the core model design. I can explain the model design and related server applications. My main experience is with the design model. I have experience with graphics transformations. Also, I have designed KPIs tools in SAP Analytics Cloud working with customers to specific KPIs. I consider design knowledge to be the most important task for daily tasks. For example, in S/4HANA or SAP ECC, we have to design services, for backups and data.  In Venezuela and Latin America, we have to design the ETL process and model those in the SAP Analytics Cloud. We also have to design the dashboard for the customer. Many companies have SAP in Venezuela. As a freelance partner, I work independently. Companies utilize my services when they have a specific implementation of an SAP application they need.

It has many features as a platform. SAP Analytics Cloud has various editions. It depends what it's going to be used for and expected. It has a public edition, and an SAP Analytics Cloud public edition. SAP Analytics Cloud also has a premier edition, which includes customer tool access. The premium edition is the paid-for edition. The premium addition also has better access than the other editions of SAP Analytics Cloud. The client is a large commercial company specialising in telecommunications. I'm working on support and implementation at the moment. Stability can sometimes depend on the size of the company, as a smaller company will generally have less complicated requirements than a large company. It also depends on the design model, and the consultant to know the model and the required customer solution.

You need to know many things about the business. SAP Analytics Cloud, requires consultancy implementation. You have to have good technical skills and knowledge in your business unit or area. These are major concerns. My previous experience with business intelligence products has helped with implementations of SAP Analytics Cloud. It's easier if we have the assistance of a BI consultant, and the team have knowledge about the implementation. The team must be trained in SAP. I keep my knowledge of SAP, and the latest improvements, up-to-date daily. I run webinars for staff, as I am required to train others. The recent versions of SAP have many improvements, but staff need to be kept in the loop about these. For example, currently, I am looking at HANA Cloud within the platform. It is always important for the team to keep the documentation up-to-date, so that, if anything changes or features are added it is included with the latest information.

Implementations are usually carried out in conjunction with the vendor team, which includes SAP and BI consultants.

The best way to keep up with relevant information about SAP Analytics Cloud is in public forums. I check those daily, including any blogs. There are many useful articles on the internet about SAP Analytics Cloud. I rate SAP Analytics Cloud as a 10, based on the implementation, functionality to the users and it is the best tool to measure KPIs in the Cloud.

Right now we are doing a PoC on finances and production planning. The most important part is the connectivity and visibility between our legacy system and the cloud. We are testing these things.

The most valuable features are the visualization and user-friendliness. It's like a self-service platform. If the connectivity is good then anyone can log in and use it.

We are currently working on connectivity with S/4HANA, but we would like to have better connectivity with our legacy systems. If they improve third-party connectivity then it would be great for us. No company has SAP alone; they have multiple databases and multiple technologies. The ability to connect to all of these other systems is important.

More functionality has to be added in terms of additional tools and reporting. In our on-premises, BusinessObjects solution, the reports have more crisp and precise visuals. The reports are very cleanly done, and we would like this same functionality in the cloud.

I have been using SAP Analytics Cloud for between eight months and a year.

This is not a very stable product. It is in its infancy, and although it has not been crashing, the stability needs to be improved.

I think that this solution will scale.

Currently, we have a couple of thousand people who are using this solution. We are just in the prototype and testing phase and deciding how we will introduce this into the company. After our testing, we will decide how it will be inserted into our daily productivity and improve the company's profitability.

The people using SAP Analytics Cloud are in a variety of roles. Most of them are middle-level developers and managers. Perhaps fifteen people from senior management us it.

We have been in touch with technical support, and I feel that the people who are working are not very technical at all. They only looked at the notes and read, but we had to tell them that we had already done all of these things so we need something new. 

What finally stopped it was that the product managed who actually worked with the tool got involved and was able to easily solve our problem.

Overall, I would say that the technical support is fair. It is not excellent or good, but fair.

I am using SAP BusinessObjects in addition to this solution. It has some advantages in terms of additional tools and reporting, which is why we cannot switch at this time.

SAP does the setup and maintenance of this solution.

My advice to anybody who is implementing this solution is to first look at the connectivity that is required. Second, look at the functionality and the visuality that you are going to need. If you are looking at simple things, like traditional visualization, then this solution is good to go. However, if you're thinking about more complex scenarios with more complex logic, then you may need to wait.

I would rate this solution a seven out of ten.