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.
At the moment, I would rate SAP Analytics Cloud between seven to eight, so we'll put it as seven, allowing some small gap for improvement. I rate the overall solution a 7 out of 10.
Advice for others looking into SAP Analytics Cloud would be to be aware of feature gaps if migrating from Lumira. Understand that while integrating into your landscape can take time, SAP Analytics Cloud offers far more capabilities, especially for companies with an SAP ERP system.
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.
It's difficult to give a blanket rating because SAP Analytics Cloud excels when working with SAP data sources. If 85-90% of your data comes from SAP, then it's the best solution. However, if you deal with more non-SAP data sources, other solutions might be more suitable. It's excellent for SAP but not necessarily for other vendors. Overall, I would rate it a seven out of ten.
Overall, I would rate it a nine out of ten. It's a good product. I would definitely recommend using it. SAP Analytics Cloud is typically based on machine learning algorithms, which are loosely called AI-enabled. AI has three components: machine learning, deep learning, and then AI. AI isn't widely used, but even for machine learning components, we generally call it AI. Anything beyond machine learning components, almost all algorithms are available. If, for any specific reason, you need something not available, it can be included. So, from an AI perspective, it is very compatible and ready out of the box. All of the data insights are supported by AI algorithms. People often refer to machine learning as AI, even though AI is typically machine learning or deep learning enabled. Both are present in SAP Analytics Cloud, so it is already AI-enabled.
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.
Overall, I would rate the solution a seven out of ten. I recommend using this solution because we are SAP shop. But at the same time, on the ground, we are aware that clients nowadays are not dependent just on us. "Us" as in us being the consultants. So, they also do some prep work. They also reach out to some consultants, like us. They consult a minimum of three or up to eight to ten consultants each hour before they say yes to us. So, at that point, they are already aware of what the potential alternatives could be. Though we are recommending SAP Analytics Cloud, they already have insight about the possibilities in the market. So, it's not always easy for us to convince them to opt for SAP Analytics Cloud either.
Brand Assets Developer at Saudi Basic Industries Corporation
Reseller
Top 10
Mar 13, 2024
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.
Senior Consultant SAP / BW / SAP BOBJ at a tech services company with 51-200 employees
Real User
Top 10
Feb 22, 2024
The solution operates in real-time, but we had an issue with it. Fortunately, the team resolved it. Usually, working with real-time or various-time connections prompts entering connection criteria like a new username and password. It is also useful for financial planning. Additionally, I use it for costs related to time series jobs.Understanding the forecasting process can be like dealing with a black box. I recognize the need for flexible tools that allow me to choose the algorithm and see what's happening in the backend. It will help to determine whether the forecasting is working or not. I recommend the product. It is very useful. I rate it an eight out of ten.
As a recommendation, when deciding on using SAP Analytics Cloud, it primarily depends on whether your company is already utilizing SAP as its ERP. If SAP is the ERP, this solution makes sense due to seamless integration and optimization within the same organization. However, if you're considering Oracle or Postgres, alternatives like Tableau or Power BI might be more suitable. The learning curve, as SAC employs Core Data Services (CDS), which can be challenging for developers unfamiliar with this concept. Finding experienced SAC developers can be a challenge compared to the more prevalent expertise in Tableau or Power BI. Community support is another consideration. While Tableau and Power BI have strong and active communities for support and knowledge-sharing, SAC may have a smaller and less engaged community. I would rate it 6 out of 10.
I recommend that companies using SAP consider not investing in separate analytics solutions in order to fully leverage the benefits of integration. This is because SAP utilizes the same database for administrative functions, such as Oracle for the ART. Consequently, the database itself does not offer significant advantages, as a connector is established between Oracle and other systems. While real-time integration is achievable, it does not adhere to the standard approach. Specifically, SAP S4HANA employs the HANA database for analytics while utilizing the Oracle database for ERP purposes. Therefore, it would be more beneficial for companies using SAP S4HANA to opt for SAP Analytics Cloud. I rate SAP Analytics Cloud a seven out of ten.
Manager IT (SAP) at CLASSIC MARBLE COMPANY PRIVATE LIMITED
Real User
May 26, 2023
I would rate the solution four out of ten, but we are still analyzing other our alternatives, which could affect the rating. All the same, I would not recommend SAP Analytics Cloud.
Senior MIS Project Manager at a tech services company with 5,001-10,000 employees
Real User
Feb 21, 2023
I would like to see the new upgrade. There are some things in the roadmap that I want to experience rather than relying on white papers. I rate the solution a seven out of ten.
Audit advisor at a financial services firm with 501-1,000 employees
Real User
Jan 23, 2023
I give the tool a seven out of ten. I was looking for a tool that could help me add value-added services to my department, such as predictive analytics from the audit perspective. I wanted a tool that could analyze text, mostly based on natural language processing. There are other heavy tools that could be applied to the audit lifecycle to improve the process. I was looking for a data analysis tool that would help me roll out the fifth generation of our internal audit department. I considered several options, including SPSS, Alteryx, and SAP Analytics. There is a generation of auditors and assurance professionals called 4.0 or 5.0 who are turning from performing basic analytics to using advanced analytics tools with AI to enhance their audit processes. They are becoming more proactive and using bottom-up analytics. This is a little bit technical for some people. In the same way that we have fourth-generation audit insurance, we have the fourth industrial revolution in the generic industry, we have a revolution in the audit department, a fourth-generation revolution, where we apply AI tools, RPA, robotic process, and advanced analytics to improve our processors. This allows us to perform more audits, 15-20 instead of 10, and to do so using a complete database rather than samples. As an auditor, we will no longer be providing reasonable assurance that we cannot provide everything, we will be able to provide assurance on the entire database. The analytics will automate this process for us, so I'm launching that strategy. In my strategy, I have, for example, some contracts I want to automate instead of reviewing them manually. Each and every contract, for example, comes to the audit department. Instead of reviewing the contract manually, and spending hours, converting this from the OCR text, and then applying the NLP on it, trying to identify the risks and the threats within this contract, and trying to audit based on that risk template, I can automate this process. I'm a certified professional in GRC and ECC. I've been working in this field for a long time. I've seen predictive analytics in action, and I've tried to compare the effectiveness of different tools, like SPSS and Alteryx, with SAP Analytics. I'm doing this because I want to see how much these tools can help me with my overall strategy. But I know that no single tool can guarantee success. We need a bunch of tools. For example, we have this SAP Celonis, which can help us understand business processes and do business process re-engineering and analysis. This SAP Celonis will help automate the process of understanding business processes, instead of having manual meetings with the business and trying to understand everyone's understanding of the process. We can rely on the data to tell us the truth. The central truth is the data. SAP Celonis will take the event log and try to analyze the process on our behalf, and try to give us the anomalies in our business process. The strategy has a different flavor, different tools, and different aspects. SAP Analytics would be more helpful in the audit execution process, and reporting stage. There is another tool that helps with fraud management. It's called business integrity screening. This tool basically fetches data and tests it for us. The tool also gathers information from SAP Analytics for Cloud and performs predictive analytics with strong machine learning algorithms. SAP Analytics is not the only thing I use to achieve my goals. It is a part of my strategy, and it helps me automate certain aspects of my plan. An organization that has its backend systems as SAP would be making a smart move to go with SAP Analytics, but if they have a mix of SAP or non-SAP systems, I never advise organizations to go with SAP Analytics. An organization that does not have SAP in the backend and still wished to use SAP Analytics should perform a proper requirement analysis first.
We are SAP partners. I am certified in SAP Analytics Cloud. I got the certification last year. I'd recommend the tool to others. In the other reporting tools, we don't find, for example, the EPM or the smart data functionality or the machine learning functionality. In SAP Analytics Cloud, it's not only a tool for creating a dashboard and a report. We can also create some machine learning applications and some EPM dashboarding. I recommend others to use itas it is a very rich tool and it is updated often. Every two or three months there is a new update. I'd rate the solution nine out of ten. The only issue we've had is working with the live connection. Other than that, it's great.
Take your time and study the product because when you use SAP Analytics Cloud, you'll find it's very easy to make graphs and tables, to analyze and cross data. It's important to understand how it works but to also have a very clear idea of where you're going. There are online courses available as well as online help which is very useful. I rate this solution eight out of 10.
My company has around fifteen users of SAP Analytics Cloud. My advice to anyone looking into using SAP Analytics Cloud is to first have an understanding of the BI system, based on the BI data models, and to have good analytical skills to develop reports in the solution. If you know the system, you can create reports and dashboards in SAP Analytics Cloud, but if you don't, you'll find it difficult. I would also tell others to go for SAP Analytics Cloud over other technologies because SAP has a vast infrastructure, so you can integrate different modules and products within SAP very easily. For example, SAP has launched Data Warehouse Cloud, so you don't need a separate BI solution such as the SAP BW/4HANA system. You can directly take the data from the source and store it in the cloud, and compared to other technologies, it's quite cheap as well. My company doesn't have any plans of increasing usage of SAP Analytics Cloud, but there's a plan to integrate it with SAP DWC. I would rate SAP Analytics Cloud seven out of ten.
I would tell potential users to focus on the data, the source of the data, and the modeling capabilities. If you model well, you can present anything you want. On a scale from one to ten, I would give SAP Analytics Cloud an eight. I won't give it a ten just because of the solution's modeling capabilities and the price compared to other solutions in the market.
We are using the corporate edition. I'm a user and consultant. I'd advise new users to use it as much as possible. It helps make it more stable and scalable. It's very user-friendly and intuitive for both the management and technical team - no matter who uses it, it's not too hard to deal with. I'd rate the solution eight out of ten. There's still from for improvement, however, I am largely happy with the product.
I'm a software engineer and I'm working with SAP Analytics Cloud. I'm using the latest version of the solution which was released this quarter: 2022.07. SAP Analytics Cloud is deployed on a public cloud, but I don't know the cloud provider, so SAP must have tied up with a data center. In my company, people who are using the tool have the role of developing it and developing reports, and currently, one hundred people are using SAP Analytics Cloud. I would recommend SAP Analytics Cloud to others who are currently not using it because it is a very good, easy-to-use tool. It's quite user-friendly and that's the most important factor. My rating for SAP Analytics Cloud is eight out of ten. I'm not a customer, but a partner of SAP Analytics Cloud.
I would rate this solution 7 out of 10. My advice is the same as BW/4HANA. For someone who wants to start using this solution, they need to refine their requirement in the beginning and analyze the available data and how it should be consumed in the dashboard or analytics. They need to design from the beginning. It can be just a sketch, but they need to think about it before they start implementing it.
We're using SAP Analytics Cloud in our company. I still don't have an idea on how scalable the product is. I'm unable to give feedback on the technical support for SAP Analytics Cloud, because I don't deal directly with SAP, but with another company that assists us, and they work with SAP. My advice to others looking into implementing SAP Analytics Cloud is for them to check the cost of implementation, because the cost of the product is not high, but sometimes the implementation could cost a lot more, e.g. the connection to your access system could cost a lot. I'm rating SAP Analytics Cloud nine out of ten.
Senior Manager , Team Leader Data Analytics at a tech services company with 501-1,000 employees
Real User
Jan 30, 2022
My advice for anybody who is looking into implementing this product is to enlist the help of consultants to get started. This is the service that my company offers. I would rate this solution an eight out of ten.
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.
Human Resources Consultant - Workforce Reporting at a government with 10,001+ employees
Consultant
Nov 6, 2021
My advice would be to all-out purchase the analytics application, as some of the features are in just the designer mode, and they are not going to be sufficient. You're going to need some of the features that are contained in the third option, the analytics application. Users need to be very familiar with what they have called the data modeler and should spend some time modeling and rendering data in their data modeler or just importing data into something called the dataset. With the dataset, users have more flexibility, however, the data modeling, that's something I didn't know starting out. Had I done it differently, I might have used the data modeler. I'd rate the solution at a seven out of ten.
If someone is using an SAP environment in their businesses, it's good to adapt SAP Analytical Cloud. But, if the person is using another ERP software, say, QuickBooks, there are other market options to opt for. The solution works well if one is using the SAP package. I rate SAP Analytics Cloud as an eight out of ten.
If your data is stored in the SAP environment, it is still the best tool in the market. Microsoft Power BI and Tableau are very nice in functionality and layout, but they lack functionality when you link them to an SAP database. My suggestion would be to use the tools from the same vendor. The reporting tool should be from the same vendor whose backend system you are using. I advised the same in our company because we have a lot of tools. If you have an SAP data warehouse, then use tools from SAP on top of this data warehouse. If you have SQL Database, then Microsoft Power BI is more suitable. I would rate SAP Analytics Cloud an eight out of ten.
SAP Intelligent Enterprise Manager at Arram solutions ltd
Real User
Apr 2, 2021
If you're interested in using this solution, you have to be aware of the frequent changes and product improvement that occurs. Every month there's a new update. You need to be aware of that but at the same time, don't get carried away with all the new features. Keep track of the roadmap and what new updates are coming. It won't cause any problems, but as it updates so often, it's good to keep track of what new features will be available and which features you should implement. SAP Analytics can be used as an all-in-one source. It can bring everything together: BI, predictive, planning, simulation — it can combine all of this into a single user interface. Other products have also done this, but SAP has done it very nicely. It's quite good, it's quite stable — I like it. Overall, on a scale from one to ten, I would give this solution a rating of eight. It combines all features into a single user interface, including planning, prediction, simulation, analytics application, and analytics or data dash boarding and reporting — I like it.
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.
SAP Architect/ Business Analyst BPC, BW , SAC , FI at a educational organization with 10,001+ employees
Real User
Dec 18, 2020
I would recommend the SAP ERP and Analytics Cloud products for users who want to start using it. In general, on a scale of one to ten, I would give SAP ERP an eight. On a scale of one to ten, I would rate SAP Analytics Cloud a seven. I would like to see more standardization here.
SAP Associate IT Consultant at a computer software company with 5,001-10,000 employees
MSP
Dec 8, 2020
I would recommend SAP Analytics Cloud to others. It is a good solution but I want to suggest that they minimize the coding by using the analytical application. I would rate this solution a nine out of ten.
SAP HANA Developer at a educational organization with 1,001-5,000 employees
Real User
Top 20
Nov 25, 2020
If the client is SAP-based then I would say it's quite okay to implement this product. It's stable, provided they have the budget for the licensing which is, I think most of the time, the bottleneck. Also, they have to consider other supply systems, their internal users. What is the diversity, how many of them work on strictly SAP solutions, and what are the compatibility issues where you cannot be stuck with one product? I think it's pretty much okay provided you can scale and then it depends on how technical the people are. So, we have two variants of it in SAP. There is the SAP Analytics Cloud Discovery, which is just mainly for discovery analytics. You basically create SAP reports, nothing advanced. Then you have the Designer, which enables you to do a little bit more scripting and other advanced features. Depending on the end-user population, you can train down towards the pure basic reporting or really develop an application on it. I would rate this solution a seven out of ten.
Consultor SAP Business Object, Sap Analytics Cloud at a tech services company with 51-200 employees
Real User
Nov 15, 2020
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.
Head of Finance Enterprise Application at a computer software company with 1,001-5,000 employees
Real User
Oct 14, 2020
SAP Analytics Cloud is an easy-to-use tool that can help you to analyze data. It also depends on the industry and what you want to use it for, but it is an easy tool. Before start using it for advanced reports, I would suggest spending a month learning this tool well. Because it is so easy to use, when you start using it for doing complex things in the beginning, you might realize that you haven't done it the right way because you didn't have the training. Don't get too enthusiastic about the ease of use of SAP. Do get the training and learn how to make proper reports, how to appropriately use the models, how to connect to on-premise systems, and how to implement live connections. After that, start building complex reports and use it for productive work. I would rate SAP Analytics Cloud an eight out of ten.
Sr Consultant at a tech services company with 1,001-5,000 employees
Consultant
Oct 4, 2020
If you are new to SSE and are trying to implement SSE in your project, don't think that SSE is an SAP product. Look into the features because I am sure you'll be satisfied with the features. They come out with the releases. I go into the release notes to understand what are the enhancements are. This will make it easier to understand. If you have somebody who isn't as experienced with BI, even that person can still learn SSE and can cope up with the BI requirements. In India, if you want to be a BI compatible, you have to have at least three years' experience so that you can understand all of the data warehousing concepts, and EDL. With SSE, learning is very smooth and easy. I would rate it a nine out of ten. The missing point would be because of the performance.
Analytics Practice Lead at a computer software company with 10,001+ employees
Real User
Aug 4, 2020
It's really important to think about data governance in the solution because it's very much a self-service application. It can be quite open for users to create their own versions of data, so it's really important that you think about customers, think about a data governance model to make sure that there's clear ownership of data, and there's a clear single source of truth for enterprise data in the model. It's easy to create a situation where it's open, but you still very much need to consider having a data governance strategy that underpins your Analytics Cloud implementation. I would rate this solution an eight out of 10.
EPM Consultant at a consultancy with 51-200 employees
Consultant
Jan 29, 2020
I would rate it an eight out of ten. Sometimes it has less flexibility when doing something. You can only do with what is available in SAP. We can't double up anything in SAP. I would take off two points for that.
The program runs on the cloud. We push the data from the source offline entirely in the cloud, and the cloud takes over the analytics. It's a bit of a hybrid solution for now but we are thinking of moving fully into the cloud so that everything just happens in the cloud, and we get our insights and our KPIs displayed on the dashboard. There can always be improvements and updates are coming in regularly but if you can afford this solution I would say 'go for it!' For now, I would rate this product an eight out of 10.
For now, we are only using the solution on public cloud but we have several customers in the pipeline and we are planning to use private cloud for future clients. I've worked for many business warehouses over a period of 18 years and I strongly recommend this particular product because whatever I do in multiple tools, in reporting or dashboarding, for example, I carry out a planning process where everything is integrated, so I strongly recommend SAP. I would rate this product a 10 out of 10 because I'm impressed with its function.
Senior Practice Manager at a tech services company with 501-1,000 employees
Real User
Dec 16, 2019
We are trying to get the reports out of AWS Redshift. We are consolidating all of our data in the Amazon Data Lake, and we have it in AWS S3. It is from there that we are pushing to Redshift, but we had a challenge because there is no native connector. This is a solution that I recommend to anybody with SAP in their landscape. We used to prefer QlikView and Tableau, but as of now, I suggest trying SAP Analytics Cloud to see the results first. There is a lot of seamless integration and you can avoid a lot of licensing costs. It is also pretty good at connecting multiple SAP systems together. It is quite useful in terms of data connectivity, data transmission, and modeling. Our customers definitely prefer SAP Analytics Cloud on Amazon Redshirt, regardless of the third-party connector that we had to use. I would rate this solution a nine out of ten.
Project manager at a tech services company with 201-500 employees
Real User
Dec 15, 2019
I'm a consultant as well as a user of the solution. We're a small team that does work for our clients. If our clients want analytics done, we use the solution to work on their data. Our team is about 15 people. Our clients are typically small and medium-sized enterprises. With some clients, there'll be some hand-holding with them to understand how SAP benefits them. At the same time, we've got some real large giants who have 3,000+ users and they are using a CPS room. They want lots of analytical capabilities. Some use Tableau or Click. The awareness of this solution isn't as good as those. I'd recommend others try the solution. It's quite a good tool with a lot of features and different user levels. Users don't need to be trained professionals; anyone can start with smaller analyses on their own. A few video tutorials should be sufficient to get someone started. It's only when you get into more complex items that you may need more assistance. I'd rate the solution seven out of ten.
I would advise anyone looking into SAP Analytics Cloud to go for it. One a scale of 1 - 10 I would rate it an 8. To raise that score they need more exporting options.
Sr. Software Engineer at a tech company with 501-1,000 employees
Consultant
Dec 12, 2019
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.
Senior Consultant at a tech vendor with 501-1,000 employees
Consultant
Dec 12, 2019
The suitability of this solution depends on several things including use case, budget, and licensing costs. Tableau will do the same thing as this solution. If cost is not a problem and you want to try something new then I would recommend SAP Analytics Cloud. I would rate this solution a seven out of ten.
My advice to anybody who is thinking about moving out of their standalone system is to implement this solution. I would rate this solution a ten out of ten.
SAP Analytics Cloud is an all-in-one Software-as-a-Service business intelligence tool that provides the key functionalities of an analytics tool to SAP business users. This tool is built on HANA Business Intelligence (BI) platform, providing analytics from data collected from multiple sources, such as ERP, Microsoft SQL, and Salesforce, among other solutions.
You can use SAP Analytics Cloud to compile data and perform ad-hoc reporting and analysis for predictive planning. SAP Analytics...
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.
My title is BI Lead Consultant at a company named Intercom Enterprises. On a scale of 1-10, I rate SAP Analytics Cloud a 10.
At the moment, I would rate SAP Analytics Cloud between seven to eight, so we'll put it as seven, allowing some small gap for improvement. I rate the overall solution a 7 out of 10.
Advice for others looking into SAP Analytics Cloud would be to be aware of feature gaps if migrating from Lumira. Understand that while integrating into your landscape can take time, SAP Analytics Cloud offers far more capabilities, especially for companies with an SAP ERP system.
The predictive analytics in SAP is used in a limited manner. I rate the tool a seven out of ten.
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.
Overall, I rate SAP Analytics Cloud a nine out of ten.
If the customer uses SAP ERP, I would recommend SAP Analytics Cloud. Otherwise, they should investigate other tools. I rate it an eight.
It's difficult to give a blanket rating because SAP Analytics Cloud excels when working with SAP data sources. If 85-90% of your data comes from SAP, then it's the best solution. However, if you deal with more non-SAP data sources, other solutions might be more suitable. It's excellent for SAP but not necessarily for other vendors. Overall, I would rate it a seven out of ten.
Overall, I would rate it a nine out of ten. It's a good product. I would definitely recommend using it. SAP Analytics Cloud is typically based on machine learning algorithms, which are loosely called AI-enabled. AI has three components: machine learning, deep learning, and then AI. AI isn't widely used, but even for machine learning components, we generally call it AI. Anything beyond machine learning components, almost all algorithms are available. If, for any specific reason, you need something not available, it can be included. So, from an AI perspective, it is very compatible and ready out of the box. All of the data insights are supported by AI algorithms. People often refer to machine learning as AI, even though AI is typically machine learning or deep learning enabled. Both are present in SAP Analytics Cloud, so it is already AI-enabled.
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.
Overall, I would rate the solution a seven out of ten. I recommend using this solution because we are SAP shop. But at the same time, on the ground, we are aware that clients nowadays are not dependent just on us. "Us" as in us being the consultants. So, they also do some prep work. They also reach out to some consultants, like us. They consult a minimum of three or up to eight to ten consultants each hour before they say yes to us. So, at that point, they are already aware of what the potential alternatives could be. Though we are recommending SAP Analytics Cloud, they already have insight about the possibilities in the market. So, it's not always easy for us to convince them to opt for SAP Analytics Cloud either.
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 operates in real-time, but we had an issue with it. Fortunately, the team resolved it. Usually, working with real-time or various-time connections prompts entering connection criteria like a new username and password. It is also useful for financial planning. Additionally, I use it for costs related to time series jobs.Understanding the forecasting process can be like dealing with a black box. I recognize the need for flexible tools that allow me to choose the algorithm and see what's happening in the backend. It will help to determine whether the forecasting is working or not. I recommend the product. It is very useful. I rate it an eight out of ten.
As a recommendation, when deciding on using SAP Analytics Cloud, it primarily depends on whether your company is already utilizing SAP as its ERP. If SAP is the ERP, this solution makes sense due to seamless integration and optimization within the same organization. However, if you're considering Oracle or Postgres, alternatives like Tableau or Power BI might be more suitable. The learning curve, as SAC employs Core Data Services (CDS), which can be challenging for developers unfamiliar with this concept. Finding experienced SAC developers can be a challenge compared to the more prevalent expertise in Tableau or Power BI. Community support is another consideration. While Tableau and Power BI have strong and active communities for support and knowledge-sharing, SAC may have a smaller and less engaged community. I would rate it 6 out of 10.
I rate SAP Analytics Cloud an eight out of ten. I wouldn't recommend it to non-SAP customers.
I recommend that companies using SAP consider not investing in separate analytics solutions in order to fully leverage the benefits of integration. This is because SAP utilizes the same database for administrative functions, such as Oracle for the ART. Consequently, the database itself does not offer significant advantages, as a connector is established between Oracle and other systems. While real-time integration is achievable, it does not adhere to the standard approach. Specifically, SAP S4HANA employs the HANA database for analytics while utilizing the Oracle database for ERP purposes. Therefore, it would be more beneficial for companies using SAP S4HANA to opt for SAP Analytics Cloud. I rate SAP Analytics Cloud a seven out of ten.
I would rate the solution four out of ten, but we are still analyzing other our alternatives, which could affect the rating. All the same, I would not recommend SAP Analytics Cloud.
I would like to see the new upgrade. There are some things in the roadmap that I want to experience rather than relying on white papers. I rate the solution a seven out of ten.
I give the tool a seven out of ten. I was looking for a tool that could help me add value-added services to my department, such as predictive analytics from the audit perspective. I wanted a tool that could analyze text, mostly based on natural language processing. There are other heavy tools that could be applied to the audit lifecycle to improve the process. I was looking for a data analysis tool that would help me roll out the fifth generation of our internal audit department. I considered several options, including SPSS, Alteryx, and SAP Analytics. There is a generation of auditors and assurance professionals called 4.0 or 5.0 who are turning from performing basic analytics to using advanced analytics tools with AI to enhance their audit processes. They are becoming more proactive and using bottom-up analytics. This is a little bit technical for some people. In the same way that we have fourth-generation audit insurance, we have the fourth industrial revolution in the generic industry, we have a revolution in the audit department, a fourth-generation revolution, where we apply AI tools, RPA, robotic process, and advanced analytics to improve our processors. This allows us to perform more audits, 15-20 instead of 10, and to do so using a complete database rather than samples. As an auditor, we will no longer be providing reasonable assurance that we cannot provide everything, we will be able to provide assurance on the entire database. The analytics will automate this process for us, so I'm launching that strategy. In my strategy, I have, for example, some contracts I want to automate instead of reviewing them manually. Each and every contract, for example, comes to the audit department. Instead of reviewing the contract manually, and spending hours, converting this from the OCR text, and then applying the NLP on it, trying to identify the risks and the threats within this contract, and trying to audit based on that risk template, I can automate this process. I'm a certified professional in GRC and ECC. I've been working in this field for a long time. I've seen predictive analytics in action, and I've tried to compare the effectiveness of different tools, like SPSS and Alteryx, with SAP Analytics. I'm doing this because I want to see how much these tools can help me with my overall strategy. But I know that no single tool can guarantee success. We need a bunch of tools. For example, we have this SAP Celonis, which can help us understand business processes and do business process re-engineering and analysis. This SAP Celonis will help automate the process of understanding business processes, instead of having manual meetings with the business and trying to understand everyone's understanding of the process. We can rely on the data to tell us the truth. The central truth is the data. SAP Celonis will take the event log and try to analyze the process on our behalf, and try to give us the anomalies in our business process. The strategy has a different flavor, different tools, and different aspects. SAP Analytics would be more helpful in the audit execution process, and reporting stage. There is another tool that helps with fraud management. It's called business integrity screening. This tool basically fetches data and tests it for us. The tool also gathers information from SAP Analytics for Cloud and performs predictive analytics with strong machine learning algorithms. SAP Analytics is not the only thing I use to achieve my goals. It is a part of my strategy, and it helps me automate certain aspects of my plan. An organization that has its backend systems as SAP would be making a smart move to go with SAP Analytics, but if they have a mix of SAP or non-SAP systems, I never advise organizations to go with SAP Analytics. An organization that does not have SAP in the backend and still wished to use SAP Analytics should perform a proper requirement analysis first.
We are SAP partners. I am certified in SAP Analytics Cloud. I got the certification last year. I'd recommend the tool to others. In the other reporting tools, we don't find, for example, the EPM or the smart data functionality or the machine learning functionality. In SAP Analytics Cloud, it's not only a tool for creating a dashboard and a report. We can also create some machine learning applications and some EPM dashboarding. I recommend others to use itas it is a very rich tool and it is updated often. Every two or three months there is a new update. I'd rate the solution nine out of ten. The only issue we've had is working with the live connection. Other than that, it's great.
I rate SAP Analytics Cloud nine out of 10. It's a very useful tool.
Take your time and study the product because when you use SAP Analytics Cloud, you'll find it's very easy to make graphs and tables, to analyze and cross data. It's important to understand how it works but to also have a very clear idea of where you're going. There are online courses available as well as online help which is very useful. I rate this solution eight out of 10.
I would highly recommend SAP Analytics Cloud. I would rate it a ten out of ten.
My company has around fifteen users of SAP Analytics Cloud. My advice to anyone looking into using SAP Analytics Cloud is to first have an understanding of the BI system, based on the BI data models, and to have good analytical skills to develop reports in the solution. If you know the system, you can create reports and dashboards in SAP Analytics Cloud, but if you don't, you'll find it difficult. I would also tell others to go for SAP Analytics Cloud over other technologies because SAP has a vast infrastructure, so you can integrate different modules and products within SAP very easily. For example, SAP has launched Data Warehouse Cloud, so you don't need a separate BI solution such as the SAP BW/4HANA system. You can directly take the data from the source and store it in the cloud, and compared to other technologies, it's quite cheap as well. My company doesn't have any plans of increasing usage of SAP Analytics Cloud, but there's a plan to integrate it with SAP DWC. I would rate SAP Analytics Cloud seven out of ten.
I would tell potential users to focus on the data, the source of the data, and the modeling capabilities. If you model well, you can present anything you want. On a scale from one to ten, I would give SAP Analytics Cloud an eight. I won't give it a ten just because of the solution's modeling capabilities and the price compared to other solutions in the market.
We are using the corporate edition. I'm a user and consultant. I'd advise new users to use it as much as possible. It helps make it more stable and scalable. It's very user-friendly and intuitive for both the management and technical team - no matter who uses it, it's not too hard to deal with. I'd rate the solution eight out of ten. There's still from for improvement, however, I am largely happy with the product.
I'm a software engineer and I'm working with SAP Analytics Cloud. I'm using the latest version of the solution which was released this quarter: 2022.07. SAP Analytics Cloud is deployed on a public cloud, but I don't know the cloud provider, so SAP must have tied up with a data center. In my company, people who are using the tool have the role of developing it and developing reports, and currently, one hundred people are using SAP Analytics Cloud. I would recommend SAP Analytics Cloud to others who are currently not using it because it is a very good, easy-to-use tool. It's quite user-friendly and that's the most important factor. My rating for SAP Analytics Cloud is eight out of ten. I'm not a customer, but a partner of SAP Analytics Cloud.
I would rate this solution 7 out of 10. My advice is the same as BW/4HANA. For someone who wants to start using this solution, they need to refine their requirement in the beginning and analyze the available data and how it should be consumed in the dashboard or analytics. They need to design from the beginning. It can be just a sketch, but they need to think about it before they start implementing it.
We're using SAP Analytics Cloud in our company. I still don't have an idea on how scalable the product is. I'm unable to give feedback on the technical support for SAP Analytics Cloud, because I don't deal directly with SAP, but with another company that assists us, and they work with SAP. My advice to others looking into implementing SAP Analytics Cloud is for them to check the cost of implementation, because the cost of the product is not high, but sometimes the implementation could cost a lot more, e.g. the connection to your access system could cost a lot. I'm rating SAP Analytics Cloud nine out of ten.
My advice for anybody who is looking into implementing this product is to enlist the help of consultants to get started. This is the service that my company offers. I would rate this solution an eight out of ten.
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.
We are an implementor. We are using the latest version of the solution. I'd rate the solution at a ten out of ten.
My advice would be to all-out purchase the analytics application, as some of the features are in just the designer mode, and they are not going to be sufficient. You're going to need some of the features that are contained in the third option, the analytics application. Users need to be very familiar with what they have called the data modeler and should spend some time modeling and rendering data in their data modeler or just importing data into something called the dataset. With the dataset, users have more flexibility, however, the data modeling, that's something I didn't know starting out. Had I done it differently, I might have used the data modeler. I'd rate the solution at a seven out of ten.
If someone is using an SAP environment in their businesses, it's good to adapt SAP Analytical Cloud. But, if the person is using another ERP software, say, QuickBooks, there are other market options to opt for. The solution works well if one is using the SAP package. I rate SAP Analytics Cloud as an eight out of ten.
If your data is stored in the SAP environment, it is still the best tool in the market. Microsoft Power BI and Tableau are very nice in functionality and layout, but they lack functionality when you link them to an SAP database. My suggestion would be to use the tools from the same vendor. The reporting tool should be from the same vendor whose backend system you are using. I advised the same in our company because we have a lot of tools. If you have an SAP data warehouse, then use tools from SAP on top of this data warehouse. If you have SQL Database, then Microsoft Power BI is more suitable. I would rate SAP Analytics Cloud an eight out of ten.
If you're interested in using this solution, you have to be aware of the frequent changes and product improvement that occurs. Every month there's a new update. You need to be aware of that but at the same time, don't get carried away with all the new features. Keep track of the roadmap and what new updates are coming. It won't cause any problems, but as it updates so often, it's good to keep track of what new features will be available and which features you should implement. SAP Analytics can be used as an all-in-one source. It can bring everything together: BI, predictive, planning, simulation — it can combine all of this into a single user interface. Other products have also done this, but SAP has done it very nicely. It's quite good, it's quite stable — I like it. Overall, on a scale from one to ten, I would give this solution a rating of eight. It combines all features into a single user interface, including planning, prediction, simulation, analytics application, and analytics or data dash boarding and reporting — I like it.
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.
I would recommend this product to potential customers. On a scale from one to ten, I would give SAP Analytics Cloud an eight.
I would recommend the SAP ERP and Analytics Cloud products for users who want to start using it. In general, on a scale of one to ten, I would give SAP ERP an eight. On a scale of one to ten, I would rate SAP Analytics Cloud a seven. I would like to see more standardization here.
I would recommend SAP Analytics Cloud to others. It is a good solution but I want to suggest that they minimize the coding by using the analytical application. I would rate this solution a nine out of ten.
If the client is SAP-based then I would say it's quite okay to implement this product. It's stable, provided they have the budget for the licensing which is, I think most of the time, the bottleneck. Also, they have to consider other supply systems, their internal users. What is the diversity, how many of them work on strictly SAP solutions, and what are the compatibility issues where you cannot be stuck with one product? I think it's pretty much okay provided you can scale and then it depends on how technical the people are. So, we have two variants of it in SAP. There is the SAP Analytics Cloud Discovery, which is just mainly for discovery analytics. You basically create SAP reports, nothing advanced. Then you have the Designer, which enables you to do a little bit more scripting and other advanced features. Depending on the end-user population, you can train down towards the pure basic reporting or really develop an application on it. I would rate this solution a seven out of ten.
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.
SAP Analytics Cloud is an easy-to-use tool that can help you to analyze data. It also depends on the industry and what you want to use it for, but it is an easy tool. Before start using it for advanced reports, I would suggest spending a month learning this tool well. Because it is so easy to use, when you start using it for doing complex things in the beginning, you might realize that you haven't done it the right way because you didn't have the training. Don't get too enthusiastic about the ease of use of SAP. Do get the training and learn how to make proper reports, how to appropriately use the models, how to connect to on-premise systems, and how to implement live connections. After that, start building complex reports and use it for productive work. I would rate SAP Analytics Cloud an eight out of ten.
If you are new to SSE and are trying to implement SSE in your project, don't think that SSE is an SAP product. Look into the features because I am sure you'll be satisfied with the features. They come out with the releases. I go into the release notes to understand what are the enhancements are. This will make it easier to understand. If you have somebody who isn't as experienced with BI, even that person can still learn SSE and can cope up with the BI requirements. In India, if you want to be a BI compatible, you have to have at least three years' experience so that you can understand all of the data warehousing concepts, and EDL. With SSE, learning is very smooth and easy. I would rate it a nine out of ten. The missing point would be because of the performance.
It's really important to think about data governance in the solution because it's very much a self-service application. It can be quite open for users to create their own versions of data, so it's really important that you think about customers, think about a data governance model to make sure that there's clear ownership of data, and there's a clear single source of truth for enterprise data in the model. It's easy to create a situation where it's open, but you still very much need to consider having a data governance strategy that underpins your Analytics Cloud implementation. I would rate this solution an eight out of 10.
I would rate it an eight out of ten. Sometimes it has less flexibility when doing something. You can only do with what is available in SAP. We can't double up anything in SAP. I would take off two points for that.
The program runs on the cloud. We push the data from the source offline entirely in the cloud, and the cloud takes over the analytics. It's a bit of a hybrid solution for now but we are thinking of moving fully into the cloud so that everything just happens in the cloud, and we get our insights and our KPIs displayed on the dashboard. There can always be improvements and updates are coming in regularly but if you can afford this solution I would say 'go for it!' For now, I would rate this product an eight out of 10.
On a scale from one to ten, I'd give SAP Analytics Cloud an eight.
For now, we are only using the solution on public cloud but we have several customers in the pipeline and we are planning to use private cloud for future clients. I've worked for many business warehouses over a period of 18 years and I strongly recommend this particular product because whatever I do in multiple tools, in reporting or dashboarding, for example, I carry out a planning process where everything is integrated, so I strongly recommend SAP. I would rate this product a 10 out of 10 because I'm impressed with its function.
We are trying to get the reports out of AWS Redshift. We are consolidating all of our data in the Amazon Data Lake, and we have it in AWS S3. It is from there that we are pushing to Redshift, but we had a challenge because there is no native connector. This is a solution that I recommend to anybody with SAP in their landscape. We used to prefer QlikView and Tableau, but as of now, I suggest trying SAP Analytics Cloud to see the results first. There is a lot of seamless integration and you can avoid a lot of licensing costs. It is also pretty good at connecting multiple SAP systems together. It is quite useful in terms of data connectivity, data transmission, and modeling. Our customers definitely prefer SAP Analytics Cloud on Amazon Redshirt, regardless of the third-party connector that we had to use. I would rate this solution a nine out of ten.
I'm a consultant as well as a user of the solution. We're a small team that does work for our clients. If our clients want analytics done, we use the solution to work on their data. Our team is about 15 people. Our clients are typically small and medium-sized enterprises. With some clients, there'll be some hand-holding with them to understand how SAP benefits them. At the same time, we've got some real large giants who have 3,000+ users and they are using a CPS room. They want lots of analytical capabilities. Some use Tableau or Click. The awareness of this solution isn't as good as those. I'd recommend others try the solution. It's quite a good tool with a lot of features and different user levels. Users don't need to be trained professionals; anyone can start with smaller analyses on their own. A few video tutorials should be sufficient to get someone started. It's only when you get into more complex items that you may need more assistance. I'd rate the solution seven out of ten.
I would advise anyone looking into SAP Analytics Cloud to go for it. One a scale of 1 - 10 I would rate it an 8. To raise that score they need more exporting options.
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.
The suitability of this solution depends on several things including use case, budget, and licensing costs. Tableau will do the same thing as this solution. If cost is not a problem and you want to try something new then I would recommend SAP Analytics Cloud. I would rate this solution a seven out of ten.
My advice to anybody who is thinking about moving out of their standalone system is to implement this solution. I would rate this solution a ten out of ten.
My only suggestion is that people try SAC, and start using it.