SAP Analytics Cloud Reviews

I primarily use it for forecasting and analytical applications.

If the application has many pages or a page with more charts, it tends to load slowly. Additionally, there are issues with time-dependent hierarchies and when BexQueries change, which can corrupt SAP reports.

Additionally, there is an area for improvement in performance measurement. Currently, it's difficult to identify which objects are causing performance issues.

I have been working with SAP Analytics Cloud for almost three and a half years.

The application has been released to approximately 7,200 users. It is scalable. 

The technical support process is time-consuming. They often request extended access and additional documentation, which can delay resolution.

SAP Analytics Cloud is superior to other tools in terms of planning and forecasting. However, other reporting tools such as Tableau are more efficient for analytical applications and dashboard design. 

Tableau allows for quicker dashboard creation without extensive scripting, unlike Analytics Cloud, where creating an application can be time-consuming.

The initial setup, particularly enabling and disabling SAML SSO, was challenging due to a lack of comprehensive documentation.

I will start managing the maintenance and development activities in the coming months.

The solution handles data integration adequately, but performance remains a concern. Drilling down on hierarchies takes a long time, which leads to user complaints. We've raised tickets with SAP to address these issues.

I would recommend SAP Analytics Cloud. However, SAP should improve white papers and performance support to enhance user experience.

I rate it a nine.

My clients, like Bin Quraya and Sadaras, use it. At present, it is used in paper mills for tissues and bundles. Others are construction companies and chemical companies.

I'm given different tasks with deadlines. They want to finish on time. Even if they're given a task two days before, they have to complete onboarding within 24 hours. I'm the implementor. 

In my opinion, it is good for analytics. Everything is in the cloud. You can also use it for non-SAP sources. You can bring in visualizations for the data, for anything. It's a good feature for Analytics Cloud.

Predictive analytics is used for data sources. Sometimes, they are custom; you can bring your custom data source directly from predictive analytics, or we can use custom tables for forecasting. Forecasting and planning for sales and financial balance sheets are done here.

AI has already started this year. AI for ABAP has started, and AI for Analytics processes is there. Joule is one main feature; you can use it within SAP Analytics Cloud. It is used for planning.

All the features are there, maybe except for the one-gauge visualization, which is missing. I've already requested it from SAP. They're planning to put it in SAP. In the future, they're going to bring back a system for one gauge.

To improve the gauge and the dashboards for using the gauge. This visualization is one thing missing in the Analytics process. In Power BI, they're using these tools. Or there is a possibility in Eclipse; we can use RxScript. RxScript is rendered from the router, but on a mobile base, it's not using RxScript. It's not working.

I have been using it for almost seven years now. 

I would rate the stability an eight out of ten. 

It's scalable, and it is on average; this one is good.

I would rate the scalability an eight out of ten. Our clients are medium-sized businesses.

Customer support is good because they're relying on the HANA Cloud database. HANA is a good, fast database compared to other databases. That's why the customers are happy to use it.

Positive

The setup is okay. SAP takes care of everything with the cloud system notes. They change things from time to time, either by themselves or automatically. 

If there's any setup, it's only for your connector. You have to key in the connectors for this. Suppose SuccessFactors is there and HANA Cloud is there; there are different activities for each.

I am an implementer who does SAP implementation. Setup is easy because these days, SAP takes care of everything. They provide a URL for the SAP Cloud, and everything is maintained within SAP since it's cloud-based. If it were on-premise, we would have to set up everything in our company.

The pricing is reasonable. Compared to Power BI, we are a little bit higher. Not much, just a little bit.

I recommend it to other clients as well. The advantage is predictive analytics. We can use it directly without any customization.

Overall, I would rate it an eight out of ten. 

The most valuable feature of SAP Analytics Cloud for data analysis tasks is its compatibility with the SAP ecosystem. It is easy to integrate with SAP ERP and BW systems, allowing smooth data transfer and live connections without much development. This compatibility makes it stand out, especially compared to other systems like Power BI or Tableau, which often require more adaptation and specific development. Additionally, it supports SAP's push towards cloud solutions, integrating well with SAP BTP and other cloud offerings.

To improve SAP Analytics Cloud, I would like to see more advanced machine learning capabilities, similar to those in SAP BTP. Additionally, better support for connecting to various data sources without needing many workarounds or IT-related activities would be beneficial.

Additionally, in the future, I would like to see improved support for third-party systems, lower cost of acquisition, and better graphics and interface design. These improvements would enhance the tool's usability and presentation capabilities, especially for customer-facing reports.

I have been working with SAP Analytics Cloud for about two years.

SAP's technical support is average. Opening a ticket usually resolves issues, and depending on the support level, response times can be as quick as four hours. Overall, it is pretty standard and I would rate the support as a seven out of ten.

Neutral

The initial setup of SAP Analytics Cloud can be complex, especially with specific requests like multiple users logging in with SSOs. We have faced challenges integrating these scenarios, which reflects some complexities within the SAP ecosystem. While compatibility within SAP is an advantage, these technical challenges suggest it could be even more difficult with third-party systems.

We use SAP Analytics Cloud for real-time decision-making by sitting it on top of our ERP system to track the sales pipeline. It helps the sales and executive teams follow the pipeline stages, from data qualification to cash. We use dashboards to display created sales orders, and PRs in SAP, and send invoices, delays, approvals, and billing requests. It helps the CEO and C-level executives easily see our sales progress, expected revenue for the quarter, and overall performance of our product offerings. So far, it is working well.

SAP Analytics Cloud improves our planning by giving quick visibility into what is happening. For example, we can see which customers are interacting with our demo pages. This feedback helps sales be proactive, asking specific questions and offering help based on customer interest. It helps us respond in real-time.

The integration capabilities of SAP Analytics Cloud have benefited our business systems by making adoption easier. Since it uses familiar SAP interfaces and icons, the transition is smoother, requiring less training. While it may not compete with the design aspects of tools like Qlik or Tableau, its compatibility within the SAP ecosystem reduces the workload, thanks to the standardized icons and interfaces.

For first-time users, I would rate the user-friendliness of SAP Analytics Cloud at around six out of ten. For users already familiar with the SAP environment, I would rate it at eight. While compatibility is a strong point, aesthetics, and UI presentation are weaker areas for SAP.

I wouldn't recommend SAP Analytics Cloud for small to medium-sized companies. The cost of acquisition and support can be steep, and integration with third-party systems might be slower compared to alternatives like Tableau or Qlik, which are cheaper and more suitable for smaller businesses.

Overall, I would rate SAP Analytics Cloud as a seven out of ten.

We integrate with the SAP and it encompasses the entire effective practice for various industries. If you're activating SAP Analytics Cloud, it includes dashboards, analytics, and safety statements. It features a comprehensive library ready for use in month-end planning, development, product management, analytics, and dashboards, which is very beneficial. There is a component related to planning. If you already have a planning or budgeting process in place, you can use SAP Analytics Cloud for planning features. The tenant is available for collaboration, allowing different parties to participate in planning and budgeting for new and adaptable cycles.

SAP Analytics Cloud has several valuable features. Firstly, it provides dashboards that display the number of candidates who have applied for specific positions, categorized by region, and the duration required to fill each position. Additionally, it shows the number of vacancies awaiting approval or already open based on relevant information. For example, it can illustrate accounts by email or location. It also offers insights into various metrics such as average gains within specified ranges. It can be customized for different domains and scenarios.

It can address specific needs. For instance, it was used by a client to validate national ID numbers for candidates who had previously applied for specific exams, preventing duplicate applications. This functionality allows users to upload relevant data and apply validation checks before proceeding with recruitment processes. It also aids in consolidation. While the product itself lacks native consolidation features, users can create consolidated statements by combining data from various legal entities. This enables users to drill down into specific values and analyze data at a granular level.

SAP Analytics Cloud allows you to quickly perform various tasks in terms of virtualization. CyberArk itself requires some enhancements to better connect with other technologies. While it's easy to connect with SAP, using analytics tools may sometimes necessitate sourcing information from different platforms. You might need data from SAP or other technologies/platforms to access specific information not available within SAP. SAP is effective for managing storage and enhancing virtualization capabilities. However, when accessing data from diverse platforms, complexities may arise.

We are building connectors with other platforms as a service. We develop functions to enhance comprehensive analytics, including predictive analysis, which is required to be integrated into its cloud. 

I have been using SAP Analytics Cloud for four to five years.

The product is not stable.

The solution’s scalability is terrible. 50 users are using this solution.
Utilizing the server in the cloud doesn't require much effort; you simply use it, by the way. It requires the administrators to use this tool.

The initial setup is moderately complex, but not highly technical. It requires someone who understands the features. This individual should know how to use the features, select appropriate storage options, choose suitable graphs for display, and determine when to use specific measurements or build custom ones. 

Since SAP Analytics Cloud is already cloud-based, there are no deployment steps involved. The process mainly entails connecting and configuring the necessary settings. This involves adding your organization as a tenant, providing the username and password, and possibly specifying a company ID or other relevant information.

Deployment and maintenance may require around 21 individuals.

You get the full benefit to assess the affordability of the product over time. The SAP platform offers various products, each serving different needs. They need to have various products available for selection. SAP Analytics Cloud is highly advantageous. 

The product is expensive and has a yearly subscription.

If we are using a scale or another device, but there is no other way to integrate. You can use all of our services. So if you compare SAP Analytics Cloud with Power BI. Power BI has different connectors that make integrations easier. When it starts with SAP Analytics Cloud, it's easy to connect to specific products when possible.

It give compliance with very good visibility. They support the key users inside the organization for identifying specific areas where SAP Analytics Cloud will decline.

Building the dashboard, analytics, and testing some use cases involves integrating with other platforms based on customer requests. 

Overall, I rate the solution an eight out of ten.

We use SAP Analytics Cloud to report and generate all our financial reports. Its robust capabilities allow us to create analytical reports using data from SAP and non-SAP sources.

There is a real-time reporting mechanism in place. SAP Analytics Cloud operates on the SAP S/4HANA database, ensuring real-time reporting is always available. This capability allows the business to monitor cash inflows and outflows at any given moment easily.

When using cloud analytics, you often need to build a staging environment and an aggregation layer if you have different applications. However, since everything is running in the SAP landscape on the HANA database, data extraction and aggregation have become much easier and more efficient at any given time.

There are definitely several areas that need improvement, but articulating them as specific priorities right now is challenging since we just implemented the project and it went live. It's difficult to pinpoint exactly what needs to be addressed.

I have been using SAP Analytics Cloud for five years.

The foundation needs to be stabilized after going live. If the requirements change, such as needing more reports or increased usage of Cloud Analytics, we must address those adjustments.

The system isn't experiencing frequent failures or timeouts, but there are instances when we deal with large datasets. We sometimes encounter high memory usage issues since it's running on our database. This can lead to errors stating that there isn't enough memory to extract data, especially if the hardware isn't adequate. If the hardware can't support the load, it becomes challenging for Cloud Analytics to function effectively.

I rate the solution’s stability a seven out of ten.

Different organizations are utilizing SAP Analytics Cloud; if I consider the end users, nearly 125 users are actively engaged. The usage numbers are relatively high because we're in the banking sector.

It is used quite frequently. Initially, it was mainly utilized for month-end closings, but now it’s used regularly. The reporting mechanism is integrated with SAP Fiori, allowing users to access data and billing reports on various devices, including tablets and smartphones.

I rate the solution’s scalability a seven out of ten.

Support is still improving, and getting support from SAP is a bit exorbitant. 

Sometimes, the queue will be on the queue, and yours may be the P1 ticket. You will be in the queue and not get the best support.

Neutral

We previously used Hyperion, and then Power BI came into the picture. Earlier, many different BW systems were also in use.

Setting up the production server takes about seven to eight working days. However, we also have a sandbox installation where we can monitor the required time, assess downtime, and determine what integrations or standard interfaces need to be enabled and how data flows. From this, we can build a comprehensive inventory of the necessary implementations, integrations, and ports that need to be enabled, including database connectivity and whether we should use the SAP Cloud Integrator or different APIs.

If you have reliable systems, setting up the SAP Analytics Cloud production system typically takes six to seven working days.

We need a basic administrator, a database administrator, an SAP S/4HANA specialist, and a Cloud Analytics expert. Four to five resources are required, but this can vary depending on the project's size, the database's complexity, and the number of reports being developed.

The implementation of SAP Analytics Cloud at British Petroleum was done with a different organization, and currently, I’m working with Standard Chartered Bank. I don't have much visibility into what improvements were made at British Petroleum, as I'm not associated with them anymore. For Standard Chartered, if there are any improvements or business needs, we will evaluate those as we move forward. 

Reflecting on the three projects I've executed, I see that the earlier ones were challenging, particularly regarding server installation and cloud integration with SAP S/4HANA. Over time, the process has become easier with the introduction of different APIs and standard interfaces by SAP. 

I rate the initial setup a seven out of ten, where one is difficult and ten is easy.

It is very expensive.

Business decisions depend on how data is utilized and structured. For example, the finance department needs to monitor revenue management, assess the impact of costs, and evaluate operational expenses. Predictive analytics is invaluable for analyzing revenue, costs, and financial performance. It provides insights on the demand and supply side, making it easier for the business to make informed decisions.

The current project where we've implemented SAP Analytics Cloud went live three months ago at Standard Chartered Bank. We plan to decommission all other reporting mechanisms, such as Power BI, Tableau, and Crystal Reports. We are currently evaluating the output from SAP Analytics Cloud regarding reporting and its collaboration with other applications. It’s too early to say whether Power BI is better than SAP Analytics Cloud or vice versa, as both tools have their strengths and address different needs.

Overall, I rate the solution a seven out of ten.

The tool's most valuable features are the BI and planning functionalities. I value being able to integrate smart planning with BI for analysis. The solution is user-friendly. 

It seems like there's a problem with the tool's licenses. If there are a lot of users, like 200, who only use the solution once a year, paying for a full-year license for each user is expensive. There's no option for users who only use the solution occasionally.

It's like having a watch user option. I want to license users for just two months instead of a year. For example, I have 200 users, but they only need the solution for two months during a process. Even though they only use it briefly, having to pay for a full year for each user can be a problem. 

I have been using the product for seven years. 

I use the tool daily in my work with various processes and customer implementations. The solution is very scalable because it's a cloud-based service. When we need to add more users, I contact IT and request more. There are no issues with scaling up.

The tool's technical support responds in a few hours. 

Neutral

A consultant company helped us with the deployment. We relied on three consultants to help us. 

I've worked with alternatives like Oracle in the past. When comparing solutions, I've learned that using the same platform as the actual data source is better. For example, if you're using SAP ERP, it's better to use SAP Analytics Cloud. Similarly, if you're using Oracle ERP, using Hyperion for analytics is better. The challenge often lies in integration rather than the usability of the solutions. I rate it a ten out of ten. 

I advise new users to design the business processes before starting the implementation. If you clearly understand the business processes beforehand, you will not face problems during implementation. Issues typically arise when there is a lack of clarity or understanding of these processes within the department.

I am not happy with the predictive analytics features and smart features offered by the product, making them areas where improvements are required.

Even the search to insights and smart insights and smart discovery in SAP Analytics Cloud are areas where what exactly the variants say is something that is hard to understand, even for a SAP consultant like myself. In some cases, the tool works fine, but it doesn't do so in all cases. The aforementioned area can be considered for improvement in the product.

I have been using SAP Analytics Cloud for more than five years. I work as a consultant for SAP products.

IBM Cognos is a product that I considered against SAP Analytics Cloud.

The tool is useful for real-time decision-making as it is used for BI, reporting, and planning purposes.

I won't be able to describe a scenario where the product helps improve planning processes in our company since we have faced some issues with the planning part. My company implemented SAP Analytics Cloud in 2020 in my current organization, and since that time, we have been behaving using the reporting functionality. However, in 2021, when we started to implement the SAP planning model, we could not see how it could meet the requirements after the project failed.

I didn't feel any added value from the use of SAP Analytics Cloud's features in our company's data analysis tasks, and though SAP claims to have smart features, unfortunately, these features are not designed properly in real time. Only the reporting works fine, but the smart features don't work fine. As far as reporting is concerned, it's easy to develop in SAP. The rest of the features of the product are not up to the mark, especially when it comes to areas like predictions and planning, which were recently implemented in our company. My company is not happy with what SAP has to offer.

The integration capabilities offered by the product are okay and not that complex.

Considering the reporting part, I rate the tool a nine out of ten.

If I speak about SAP Analytics Cloud's planning part, I would say that the whole product is not very successful in our company. I cannot rate it as a whole product. I can rate the product in three parts. For reporting, I rate the tool a nine out of ten. Even if you take care of the visualization part, some of the charts don't get into SAP Analytics Cloud. For the argument and analytics part, I rate the tool a two to three out of ten. For planning, I rate the tool a four or five out of ten since it is successful for some models, while for another module, it is not very successful. If I consider the implementation issues in the product, I rate the tool a five to six out of ten for the planning part and a three or four out of ten for the argument and analytics part.

Unfortunately, the tool is not a good product.

Overall, I rate the tool a six to seven out of ten.

The solution is primarily used for dashboarding and planning. My clients come from various industries, including chemical energy, fertilizers, cement, real estate, and telecommunications.

The solution has improved decision-making through its predictive analytics capabilities and effective dashboarding features. It supports better business forecasting and planning.

The product's most valuable features are reporting and planning, driverless planning, business vertical-wise planning, dashboarding, forecasting tools, and business forecasting. 

Real-time reporting is one area that needs improvement for the product. Currently, it operates on a batch-based system, and it would be beneficial if it could update in real-time directly from SAP S4HANA without batch jobs or file uploads.

I have been using SAP Analytics Cloud for three years.

I rate the platform's stability an eight.

I rate the product scalability an eight. 

The technical support services are good. However, the response times need improvement.

The initial setup process has moderate complexity. 

The product is expensive. 

Overall, I rate SAP Analytics Cloud a nine out of ten.