SAP Analytics Cloud Reviews

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Score 8.2 out of 101

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Juan Carlos Crespo profile photo
Score 10 out of 10
Vetted Review
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Currently we are using SAP Analytics Cloud in order to analyze new data and get useful insights from the financial point of business view, such as cost analysis for different business units, profitability dashboards, and later on in 2020 we will try the predictive scenarios (what-if analysis).
  • It's easy to learn, construct, and communicate relevant information in a single platform.
  • It's empowered FP&A users and kept IT involvement at a minimum.
  • SAP and Non-SAP datasources.
  • SAC does not have out of the box content for the oldest SAP ERP version.
  • Live Data connections for the oldest SAP ERP versions would be appreciated.
  • Native integration for SAP BPC and the consolidation module also would be appreciated.
There was a lot of pre-build content that was very useful when we started to use it. We took some samples in order to customize ours.
Read Juan Carlos Crespo's full review
Radouane Sbaa profile photo
Score 9 out of 10
Vetted Review
Review Source
It's being used:

1 - As a SAP BI consultants company, we use it to explore the functionalities and to be able to implement it for our customers
2 - As a BI tool to explore our own SAP Buniess By Design data and some Excel files (Financial data, timesheet)
  • Stories are quite easy to develop witout technical knowledge
  • Generating a simple model is very straightforward
  • Sharing and collaborating is very convenient
  • Updating an existing model is very painful. It's not Agile at all since we need to rebuild it whenever we need to add a new column, for instance.
  • Updating a transformation in a model lead to lose the calculated measures.
  • It is not possible to update a model if a Public Dimension has been used in it.
  • Comparing with other BI Solutions, I think we need more formulas in Transformations Area and Stories Developments.
It is well suited for simple design, stable models, business needs already defined with few changes to be process. It is not convenient for complex rules because of the lack of formulas or if the model needs a lot of transformation and frequent changes or if the business rules are going to change frequently.
Read Radouane Sbaa's full review
Andreu Piqueras profile photo
Score 7 out of 10
Vetted Review
Verified User
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As an information technology enterprise, we have been working for 2 years with SAP Analytics Cloud. We are implementing it in multiple projects and as the experience learned in these 2 years I found some really good functionalities and some others that are missing. The SAP department from my company is currently working with SAC we put it on the roadmap for our client. SAC is offering a vision for reporting which is not so dense. Not really operational but really functional. Sales management and quick dashboarding instead of heavy reporting or planning
  • Functional desing. Easy to learn and develop
  • Live connectivity to SAP sources so the data is not needed to be in the cloud (important for some business for data privacity)
  • SAC is working in different functionalities
  • SAC is growing in a scheduled way so you can know which roadmap will be the following months
  • Easy SSO with SAP sources
  • In almost every wave or release something gets broken. We have been finding many problems along the different releases (missing functionalities or some stories get "broken" in some way)
  • SAC is growing in a reactive way, not in a proactive way. That means that are the users directly who suffer the problem when implementing. That has happened the last two years of SAC
  • Live connection is working really good. But data acquisition models are really bad. There is a limit of registers that is almost impossile to construct a model equal or similar than a live data connection. And that's needed because the new functionalities are based on offline models...
  • In the stories the performance is really bad (now I have to say that is better than at the beggining). The page filters are taking a lot of time to load (connection to BW on HANA at least). Tables take a lot of time also to load compared to graphs and the scrolling is sometimes inside the table so there are some cells that cannot be properly seen.
  • Application design and Canvas are not going to be unified. That's (in my opinion) a big fail.
Well suited:
  1. Dashboarding in a visual way (forget tables)
  2. When sources are SAP and live connectivity is available SAC is perhaps the best option
  3. Can manage many users so the concurrence is really good.
  4. The business content library is dense. That means users can be more autonomous
Less aproppiate:
  1. When some dense reporting is needed through tables
  2. When the source is not SAP
Read Andreu Piqueras's full review
Alex Gutierrez profile photo
Score 8 out of 10
Vetted Review
Verified User
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As a consulting firm, we use SAP Analytics Cloud in the SAP department in the projects where our client needs a reporting tool. We recommend SAP Analytics Cloud to those clients which have analytical needs that can be satisfied with Dashboards or analytical reports. In our opinion, SAP Analytics Cloud is not already prepared to fulfill the needs of those users/companies which are oriented to a very operational reporting, or they need to dig in data in a lot of detail.
  • Visual reporting: it is, by far, the most good-looking and user-friendly SAP reporting tool.
  • Story-telling: it is very easy to create a story using our reports and answer the business questions.
  • Connectivity to SAP sources: if a company has its data on SAP sources, it is very convenient to use SAP Analytics Cloud as the reporting tool.
  • Roadmap looks good: if all the functionalities that are on Roadmap end up being implemented, I personally think SAP Analytics Cloud will be a strong competitor in the market.
  • Performance: in some scenarios, the tool has big troubles in its performance when the volume of data is quite big (mainly with tables and filters).
  • Maturity: as it is a quite new tool, it is not mature enough to satisfy some business necessities. Also, the tool has some bugs which should be basic for a reporting tool.
  • Mobility: I believe mobile apps for SAP Analytics Cloud should be improved (both for Android and iOs devices). They are not as good as the web version. Moreover, stories for mobile devices have to be created in a particular template, which can be annoying in some cases.
Scenarios where I would recommend SAC:
  • Data analysis at a glance
  • For business users, it is a very easy to use and user-friendly reporting tool
  • Corporative reporting tool: it has a lot of features and functionalities that make it a very appropriate tool when it comes to have a unique reporting portal (bookmarks, exporting to PDF, comments in stories, ...)

Scenarios where I would not recommend SAC:
  • Operational reporting
  • Users that need big flexibility in their data analysis
  • Companies which want to build their reporting on non-SAP sources
Read Alex Gutierrez's full review
Sylvain Garneau profile photo
Score 9 out of 10
Vetted Review
Verified User
Review Source
Analytics Cloud is used at Cascades to address the new Cloud Eco-System offered by SAP. It is also interesting that this all in one BI Tools for all types of users allows us also to use smart technologies to gives us good insights.
  • Various connections.
  • Very intuitive interface.
  • Smart capabilities.
  • Planning and predictive features.
  • Modeling is hard for end-users.
This is a great all-in-one tool that covers all our analytics needs!
Read Sylvain Garneau's full review
Robert Harper profile photo
Score 9 out of 10
Vetted Review
Verified User
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Planning and Management Reporting. It enables us to perform integrated planning and set drivers used for both plan and actual management accounting, and reporting.
  • Driver Setting, including automation and dis-aggregation across multiple dimensions.
  • It's improved user experiences for planning users.
  • Dashboards, calculations, and allocation to enable the useful presentation of KPI's and metrics used in business decision making. They also provide for automated integration of plan versions and actual results.
  • The data connectivity needs work. We have had to use a complex BPC solution as middleware to integrate with Profitability and Performance management. There's still no direct integration with BW/4 HANA and PAPM.
  • More flexibility in setting drivers and dis-aggregating data.
  • Pricing.
It's very good for basic profitability, and spend planning. It's less well suited for detailed calculation and allocations for planning and actual data.
Read Robert Harper's full review
Diana Coelho profile photo
October 09, 2019


Score 7 out of 10
Vetted Review
Verified User
Review Source
Currently, I am responsible for developing a POC on why my organization implements SAP. Our analytics platform is a bit outdated and we would like to have a more modern approach to analytics and dashboarding.
  • Certain operations are very simple to do, like reference numbers on the graphs and comparisons between years.
  • Visually simple and clean
  • Very intuitive and quite complete in features that are most requested on our day to day.
  • Lots of standard features that in other tools can only be achieved by customized actions.
  • From a user experience perspective, there are some cases where there was a lag on the system and it was not clear if the operation was actually being executed or not.
  • There were some little hiccups in the system which I think will be solved with some more maturity.
  • Some limitations with comments on live scenarios. Can't wait for the release that will improve this.
Hana's live connections seem to be a great combination and the data processing options for Excel files are quite complete. I think a scenario that includes non-SAP connections has some disadvantages.
Read Diana Coelho's full review
Eric Halbur profile photo
September 26, 2019

SAP Analytics Review

Score 10 out of 10
Vetted Review
Verified User
Review Source
SAC is currently being used for various POCs across production, HR, and IT. The tool is helping us to investigate data for decision making as well as provide visual KPIs. Currently, IT staff has been doing most of the POC development, but we hope to use SAC for business end-user reporting as well.
  • Multiple visualization options.
  • Data insights.
  • Easy to get started with file data uploads.
  • Pixel perfect formatting is difficult.
  • Viewing all data imported in a simple tabular format is difficult for data checking.
  • The tool is in rapid flux as it’s quite new.
SAC is quick to get started with. It’s best suited to create visualizations to be directly consumed online. It can be used for executive dashboards, or more detailed visualizations. Likely if it’s needed to do detailed record analysis, other tools may be better suited like analysis for Excel. SAC Smart Discovery is very useful to help draw insights on data relationships that may not be known.
Read Eric Halbur's full review
Alfredo Zapata profile photo
September 24, 2019

SAP Analytics Cloud Review

Score 8 out of 10
Vetted Review
Verified User
Review Source
We recently completed a proof of concept of SAC Planning for one of our finance teams. The POC was completed in partnership with SAP and a partner and successfully fulfilled all the features and functionality it was aiming to serve. We are currently working with the AE to start the next pilot phase contingent upon commercial discussions.
  • Simple data Input and light planning scenarios.
  • Collecting data via a web browser within a small work unit with ready built-in workflow and validation.
  • Simple reporting and visualizations.
  • Richer graphics and visualization capabilities.
  • Robust SQL interface for advanced power user querying.
  • More seamless integration with HANA 2.0 XSA based development.
We have multiple use cases where SAC planning would be a great fit for data collection via a web browser for various business units to collaborate and review forecasting numbers for subsequent upload to APO, IBP or BPC, where more advanced planning algorithms and functions could be performed. The key is having a centralized data collection tool with power users being able to quickly model new planning scenarios and custom workflows without coding.
Read Alfredo Zapata's full review
Sanjay Mahajan profile photo
Score 10 out of 10
Vetted Review
Verified User
Review Source
It is being used for reporting the data out of our BW system. It is being used by the Finance department. It makes it very easy for users to run the reports. Being on cloud, the administration for my team is also easy. Also, the live data makes it very useful.
  • Reporting of the live data
  • Connection to the on-premise system
  • User and security administration
  • The process of connectivity
When you want to use reporting on cloud without administering the system on-premise, SAP Analytics Cloud is most suited. Since the administration and security is done at the cloud, it is most suited when you want these functions on the cloud. It is not suited when the data set is very very large (in terabytes).
Read Sanjay Mahajan's full review
Niranjan Deshpande profile photo
November 14, 2019

SAC Review

Score 6 out of 10
Vetted Review
Verified User
Review Source
SAC is SaaS product which provides BI planning, predictive analytics, and more recently integrated S/4HANA capabilty as well.
  • Planning
  • Business intelligence
  • Predictive
  • Reporting
  • Scheduling
  • Offline reporting
SAP Analytics Cloud is well suited when you have the SAP ecosystem. It provides native connectivity with BW, BW/HANA, BW4, HANA. It also provides integration capability with SuccessFactors, Concur, Fieldglass, and Ariba as well. Only tool to have business intelligence planning as well as predictive analytics capability. It offers augmented BI capability which is also a good feature.
Read Niranjan Deshpande's full review
Sreenivasulu Dasari profile photo
Score 6 out of 10
Vetted Review
Verified User
Review Source
We have completed Analytics Cloud assessments, plan to use SAC Story to develop reports. It's easy to connect and develop reports, share with other team members. Coming to a problem - SAC Analytic Application is used to develop IT dashboards but it's missing some features compared to other tools. But we can clearly see in the SAC Road Map. And also I'd request SAP to check on SAC Analytic Application performance and improve in the release.
  • SAC - in one product have all analytics applications
  • SAC Analytic Application performance (SAC on BW and HANA)
SAP Analytics Cloud stories are working fine.
Read Sreenivasulu Dasari's full review
Kirc Breden profile photo
November 13, 2019

Critical, but hopeful

Score 6 out of 10
Vetted Review
Verified User
Review Source
POC at this time, we have a strong amount of content that will find it's way to EOL, and are looking at migration path options.
  • Visualization
  • What-If Analysis
  • Intuitive engine for creating visualization of data
  • Lack of Query/Analysis, need to include WebI into SAC.
  • Unclear about Administration of content. CMC in SAC?
  • Migration of Dashboard content to SAC is limited to rebuild only in new tool.
If you liked Explorer/PoleStar, you will LOVE, LOVE, LOVE, SAP Analytics Cloud (SAC).
I applaud the use of Explorer interface into HTML5, I wish SAP had converted it earlier to Explorer in BI enterprise, as it would have gained more momentum on-premise leading to SAC.
Read Kirc Breden's full review
Karan Sehjpal profile photo
Score 8 out of 10
Vetted Review
Verified User
Review Source
SAP Analytics Cloud is used in the organization to cater to the needs of internal customers building interactive dashboards and stories for easy decision making.
  • Live connection with SAP BW in terms of performance
  • Building models and transforming the data into suitable stories
  • Capable of handling massive data numbers. This was not there in Lumira designer
  • In terms of data dimension, it does not allow for the custom values. This needs to be corrected
  • In terms of data, it does not consider the raw data while building models. It checks the integrated data which is sometimes not suitable as most of the time we have customized data sets.
Good where time dimensions are not majorly used as part of the combination charts.
Read Karan Sehjpal's full review
Enrique Espindola Barajas profile photo
Score 9 out of 10
Vetted Review
Verified User
Review Source
In our organization a key reason to move to SAP Analytics Cloud (SAC) is because you can seamlessly integrate a wide variety of cloud and on-premise data sources into one cloud solution. Our SAC demo has a live data connection that can connect to a remote system S4/HANA 1809.
  • Increased analytical capabilities
  • Simple use for ad hoc reports and analysis.
  • Use SAP Analytics Hub as the only access point in the analysis with many sources of information
  • A problem we have is split queries because the limit is 800,000 lines.
  • Increase the sources of information from other databases or systems
  • More clarity in the security of the system, roles and users
  • In a company where there is no information for decision making
  • No dashboards
  • All information are in worksheets
Read Enrique Espindola Barajas's full review
Javid Qureshi profile photo
Score 9 out of 10
Vetted Review
Verified User
Review Source
Oil and gas companies are streamlining and simplifying operations by creating intelligent enterprises based on industrialized and intelligent cloud services that enable innovative technologies such as robotic process automation (RPA). Most of the analytics are run on SAP Cloud platforms.

We have leveraged these process to all our departments to get the enhanced results and automatic transformation.
  • Faster
  • Secure
  • Reliable
  • Connectivity
  • Support
  • Small business needs cheaper [pricing]
For example, if you want to predict employee employment duration you would use a Smart Predict regression scenario. This will identify relationships in your data to help you better understand what factors lead to long-term employment. The result? These valuable insights can be used to influence your HR policies and reduce employee attrition.
Read Javid Qureshi's full review
Saul Cantera profile photo
Score 8 out of 10
Vetted Review
Verified User
Review Source
[It's being used for] Corporate reporting. Project for M&S was the first implementation but more business functions will be adopting it in the coming months.
  • Simplicity for self-service scenarios
  • Connectivity
  • Nice design
  • Some features available in Lumira Designer/Design Studio are not available yet
  • Mobile app only available for IOS devices - Should be a native app also for Android
  • It should support multiple IdPs since the beginning (planned in roadmap for future)
SAP Analytics Cloud is well suited for self-service reporting against SAP sources. It is less appropriate for very complex dashboards until the Analytics Designer evolves.
Read Saul Cantera's full review
Holger Laemmel profile photo
Score 8 out of 10
Vetted Review
Verified User
Review Source
Is is used across the whole organization but we started with departments. We use it for reporting and planning.
  • Replacing Excel for planning with an application.
  • Calculate plans on a granular level without losing details, so we are able to regroup and report different views.
  • Combining reporting and planning
  • Planning: Data locking
  • Planning: Powerful calculations
  • Planning: Protocol function for executing data actions
We use it for all dashboarding and visualization. For a highly interactive drill-down and reporting on details. We use analysis for office.
Read Holger Laemmel's full review
Veena Kodavanty profile photo
Score 7 out of 10
Vetted Review
Verified User
Review Source
We are planning on using this product for our digital boardroom within the financial accounting team. SAP Analytics Cloud helps with our financial reporting.
  • Story telling
  • Data connectivity
  • Inbuilt machine learning capability that was showcased in the beta version
  • Data connectivity with live connection
  • Performance impact when connected to huge volumes through live connection
Still waiting on the machine learning functionalities for live connection.
Read Veena Kodavanty's full review
Martin Lopez profile photo
Score 10 out of 10
Vetted Review
Verified User
Review Source
We use SAP Analytics Cloud for our client data and to provide valuable information to them. We use SAC across all kinds of industries and departments.
  • Provide predictive information easily.
  • Connect to multiple sources, either on-premise or cloud.
  • Easy to build visualizations without the need for coding.
  • Improvements in export options.
  • Improvements for integration with SAP BI on-premise.
  • Scheduling options.
The best scenario is for those that already have SAP as an ERP solution, like S/4 HANA, and want to show dashboards quickly without installing a server on-premise.
Read Martin Lopez's full review
Karima Zahrir profile photo
September 24, 2019

SAC Review

Score 9 out of 10
Vetted Review
Verified User
Review Source
We are using SAC for analytics and for predictions of financial and client data.
  • Smart insights.
  • Smart predict.
  • Not all features are available for a live connection.
  • Hard to use securely when connecting to outside applications.
SAP Analytics Cloud is well suited for any business user who wants to build their own stories.
Read Karima Zahrir's full review
Peter Chen profile photo
Score 6 out of 10
Vetted Review
Verified User
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SAC in combination with Digital Boardroom is our dashboarding tool of choice and the management reporting tool. It sticks to our cloud and SaaS first strategy, delivers quick ramp up and adoption, and delivers the WOW experience our leaders and business have been looking for.
  • Browser-based technology, no client setup needed.
  • Great story and data modeling capability.
  • Ease of setup and great UI through Digital Boardroom.
  • Feature parity with more mature BI products like WEBI.
  • Performance issues from time to time.
  • Scripting capabilities in the planning area.
It is great for a cloud-based dashboarding capability. Even though the modeling and data prep abilities have picked up significantly, it is still not a replacement for a data mart when extensive data ETL takes place.
Read Peter Chen's full review
Naga Saujanya Gutala,TOGAF,CSM,Agile PM profile photo
Score 4 out of 10
Vetted Review
Verified User
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Mainly to create dashboards with a mixture of SAP and non-SAP data sources.
  • Easy to load data
  • UI looks good
  • Cloud based
  • Performance
  • Limitations of features for acquired vs live
  • Better support and documentation from SAP
It's fine for simple and straight forward scenarios. But there's a lot to be done on making the product stable and competitive w.r.t the other third-party tools.
Read Naga Saujanya Gutala,TOGAF,CSM,Agile PM's full review
No photo available
Score 8 out of 10
Vetted Review
Verified User
Review Source
It helps users with self-service BI analysis. It is being used by many departments like supply chain, manufacturing, finance, HR, etc.
  • Graphs library is good and gives good insights
  • Ability to integrate with multiple sources of data
  • Predictive analytics
  • Should have an interface for voice-based commands/SAP co-pilot
  • SAP Business Warehouse queries interfacing can be better
  • Sharing of data with help of mail notifications
For all SAP-based modules, SAP Analytics Cloud integrates well and works well for storytelling. It needs improvement with the integration of IoT machines.
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No photo available
Score 10 out of 10
Vetted Review
Review Source
I'm from a consultancy company focused on analytics called SDG. We were into SAP Analytics Cloud from the beginning as we saw the potential of it, and from our perspective, we believed it was the future of SAP analytics.
We have already implemented this tool for several of our customers to address sales, marketing, Salesforce, and analysis among other analytical needs. We also have an implementation for demand planning, which has been a success.
  • Time to Market. I think this is the biggest advantage compared to the market.
  • Looked and felt easy to use. Not so much training from the end user perspective is needed to use it.
  • Roadmap and fast evolution. New features are coming fast, do not have to wait for big releases.
  • Still immature in planning and predictive.
  • Different functionalities live vs data acquisition connectivity.
  • Sometimes their are performance issues, although they are being solved over time.
  • Suited: SAP Core systems already available on ECC, S4, BW on HANA, or BW4.
  • Not suited: When no SAP core system is available. At the moment, for large analysis, we think it is not that suitable for data acquisition.
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Feature Scorecard Summary

Pixel Perfect reports (38)
Customizable dashboards (45)
Report Formatting Templates (42)
Drill-down analysis (48)
Formatting capabilities (48)
Integration with R or other statistical packages (35)
Report sharing and collaboration (47)
Publish to Web (41)
Publish to PDF (42)
Report Versioning (33)
Report Delivery Scheduling (23)
Pre-built visualization formats (heatmaps, scatter plots etc.) (49)
Location Analytics / Geographic Visualization (47)
Predictive Analytics (48)
Multi-User Support (named login) (47)
Role-Based Security Model (47)
Multiple Access Permission Levels (Create, Read, Delete) (45)
Single Sign-On (SSO) (46)
Responsive Design for Web Access (39)
Dedicated iOS Application (32)
Dedicated Android Application (22)
Dashboard / Report / Visualization Interactivity on Mobile (39)
Long-term financial planning (44)
Financial budgeting (42)
Forecasting (47)
Scenario modeling (48)
Management reporting (52)
Financial data consolidation (26)
Journal entries and reports (26)
Multi-currency management (30)
Intercompany Eliminations (20)
Minority Ownership (21)
Local and consolidated reporting (28)
Detailed Audit Trails (22)
Financial Statement Reporting (33)
Management Reporting (45)
Excel-based Reporting (40)
Automated board and financial reporting (38)
XBRL support for regulatory filing (14)
Personalized dashboards (58)
Color-coded scorecards (52)
KPIs (57)
Cost and profitability analysis (50)
Key Performance Indicator setting (52)
Benchmarking with external data (40)
Flat file integration (55)
Excel data integration (53)
Direct links to 3rd-party data sources (50)

About SAP Analytics Cloud

SAP Analytics Cloud combines planning, business intelligence, and predictive analytics as a unified cloud-based platform allowing visualization, planning and prediction to be performed within a single tool. It is built on top of the very fast SAP Cloud Platform, and integrates natively with on-premise applications and data.

The platform provides data connectors to a wide range of data sources, including SAP Business Warehouse, SAP Business Planning and Consolidation, SAP BusinessObjects BI Platform, SAP SuccessFactors, Salesforce, and other sources. Visualization capabilities are enriched by geo-enriched data, and the SAP HANA engine contains an in-memory calculation engine to perform numerous calculations in real-time.

SAP Analytics Cloud Video

Unify business insights with SAP Analytics Cloud.


Has featureFree Trial Available?Yes
Does not have featureFree or Freemium Version Available?No
Does not have featurePremium Consulting/Integration Services Available?No
Entry-level set up fee?No
EditionPricing DetailsTerms
Business$21per user, per seat
EnterpriseCustomUnlimited users

SAP Analytics Cloud Support Options

 Free VersionPaid Version
Live Chat
Social Media
Video Tutorials / Webinar
Customer Success Coach

SAP Analytics Cloud Technical Details

Deployment Types:SaaS
Operating Systems: Unspecified
Mobile Application:Apple iOS
Supported Languages: Czech, English, French, German, Italian, Polish, Portuguese, Russian, Spanish, Simplified Chinese, Traditional Chinese, Japanese, and Korean.