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January 10, 2021
We used SAP Analytics Cloud for Business Intelligence, Automated Machine Learning, efficient modelling and predictions for business modelling. It is having a single unified dashboard for robust and rapid prototyping. It is also having mobile and web extensions, which supports iPhone or iPad to access latest information and analytics information. It also provides high end team collaboration capabilities using chats and notifications. SAP Analytics Cloud also provides feature like SAP Business Warehouse. It comes with robust cloud solutions to enhance corporate performance and overall growth.
- Data integration from different application is very easy
- Business Intelligence and Predictive Analytics becomes very helpful
- Provides various Cloud Deployment options like - Shared Cloud Infra.
- Security and Access control is high
- ETL operations are still not competitive.
- Hard to get start and might lead to initial hiccups.
- Cost wise customization feature is missing, which leads to manual efforts
- Huge volume of data takes time to load.
December 28, 2020
This cloud solution has been used as business intelligence tool for quite some time in our organization to gather some critical data insights using the live data available through HANA database. It uses some future ready machine learning models to give us the required end results that we can present to the management with quite some confidence.
It's a really secure solution with a high level of governance and compliance as per our IT policies. Our lead time for dashboard development from proof of concept by Subject matter expert to final implementation by db connection, folder permission formalities were under 2 months. Thanks to the intuitive interface on offering we used this software mainly for the predictive analytics capabilities and easy spooling of data to generate apt reports.
It's a really secure solution with a high level of governance and compliance as per our IT policies. Our lead time for dashboard development from proof of concept by Subject matter expert to final implementation by db connection, folder permission formalities were under 2 months. Thanks to the intuitive interface on offering we used this software mainly for the predictive analytics capabilities and easy spooling of data to generate apt reports.
- It has a very balanced and basic intuitive interface making it easy for business users to work with very less IT support.
- Predictive analytics with Machine learning capabilities.
- Complete cloud package with no requirement of additional hardware infrastructure.
- Even though deployed on cloud have found delays in report delivery when working with very large datasets.
- There is no option to go back to previous committed action other than redo from scratch should have an option to go back to last step.
- It only works with connected SAP db.
December 14, 2020
We are using SAP Analytics Cloud for data warehousing, data analysis, exploration, visualization, augmented analytics (insight to action), and integrated planning using workflows. It has provided us with a one-stop platform to do and stitch together planning, dashboarding, and analytics. We love it.
- It is easy to connect and use all these data sources
- We have been able to access all the data live (in real time) also
- SAP Analytics Cloud has potent machine learning and AI capabilities
- Built-in workflows in the tool allow us to do planning and scenario management
- Sometimes slow in processing very large data sets slows business processes.
- Limited options for broadcasting the stories hence difficult to share with others.
- Need to lot of rework when a model is rebuild leading to frustration
December 08, 2020
SAP Analytics Cloud is used by different teams as a contributor to end-user. We basically have a different set of data for a different set of users and I really like how easy it is to connect and use all these data sources. It is a really helpful tool for our marketing and sales meetings and drives the results based on the reports from SAP Analytical Cloud.
- Improve business process outcomes.
- Real-time access to databases.
- Analysis leveraging machine learning.
- Seamless integration to more and more tools.
- it is still slow, when the data set is large it takes a lot of time.
- Cannot combine with already loaded data.
December 08, 2020
SAP Analytics Cloud is a stable platform that we use in our organization to make meaning out of our data and from using it, we acquire insights, empirical data that helps us in forecasting, predictive analytics and decision making among others. It's an easy to use platform and it's used across our departments where it helps us solve the business problem of coming up with decisions that lack scientific insights and ones that do not reflect the position of our business. SAP Analytics Cloud gives us a clear outline and standing of our business for purposive planning.
- Helps us make and implement decisions that have arisen out of facts and insights and this contributes to growth of our business.
- Helps us understand the standing of our business and its performance whether good or bad thus uncover any unseen agendas and trends.
- Improves the execution of our workflow and enhance the performance of our business.
- Since it's cloud based sometimes its performance is affected by poor internet connections slowing down its usage.
December 04, 2020
I was first introduced to this tool several years ago when I was still working with IBM. The system was used then mainly for financial data, vendor management as well as an HR tool that helped the organization to perform tasks more efficiently and at a real-time state. Last year, a client that I worked with, as freelance analyst, was also working with same system and they are mostly using this for financial reporting. Being, a multinational firm, it allows them to manage, monitor and maintain financial data real time and hence lessen errors/risks brought about by getting incomplete/ untimely data.
- Allows dashboard personalization
- Financial analysis
- Real time reporting/data entry
- Provides security
- Ease of Use
- Can be challenging sometimes system performance-wise. It feels like it is having a hard time processing when dealing with a large set of data and parameters.
- Lacks versatility.
- Can be confusing at times. Due to the vast uses of the tool. Even as an experienced user, you'd probably be scared to try navigating to other parts of the tool.
November 25, 2020
SAP Analytics Cloud helps us create Stories that shows real-time data which comes from variety of source systems. These stores help take decisions at different levels in the organization. SAP Analytics Cloud with its unique features including - rendering on any device, R visualizations, digital board room agenda creation are highly powerful.
- Support for real-time data analysis
- Provision to bring data from many source systems.
- Scalability options available as this is a cloud solution.
- Rich support for analytical functions using scripting languages
- Options to bring data from two models in SAC stories together
- More options for broadcasting the stories seamlessly.
October 14, 2020
SAP Analytics is currently used across all departments (finance/HR/sales) of client I support. We have designed various stories and applications as well on sales/finance/HR data showcasing different KPIs, Top N contributors, Geo-Map data points. There is not much additional work needed as the same story can easily be seen using mobile or tabs by business users. Business users loved the smart capabilities of SAC wherein they type any query in Natural Languages and it produces relevant graphs to users.
Recently I have done POC on HR data for them to identity probable employees who could leave organization. The POC went well so we are asked to implement the same. I used built classification-in for addressing Attrition problem which resulted in 83% accuracy. Client has asked us to do a POC using regression if we can predict number of copies to be printed considering various factors like historical data (sports event/elections/or other catastrophic events).
Suggestion:
However I feel SAC can be more effective if more modelling capabilities are provided. Integration with R is good but SAP should think of Python integration as well, reason being Python is more user friendly and capable of doing all what R does.
Recently I have done POC on HR data for them to identity probable employees who could leave organization. The POC went well so we are asked to implement the same. I used built classification-in for addressing Attrition problem which resulted in 83% accuracy. Client has asked us to do a POC using regression if we can predict number of copies to be printed considering various factors like historical data (sports event/elections/or other catastrophic events).
Suggestion:
However I feel SAC can be more effective if more modelling capabilities are provided. Integration with R is good but SAP should think of Python integration as well, reason being Python is more user friendly and capable of doing all what R does.
- Natural language processing.
- Geo-spatial enrichment.
- Support to mobile/tabs.
- Easy user interface.
- Prediction capabilities.
- R integration.
- Application building.
- Dashboarding.
- Complete descriptive statistics about business using stories.
- Modelling capabilities.
- Python integration should be included.
- Model rebuilding losses all data validations/transformation and too much of rework.
October 14, 2020
We are using for specific few departments, source data is SAP BW. Business team needs dashboard to be created to analyse the data more effectively. We are planning to implement Planning model for finance team.
- Available on web. All operations (create, modify, share stories) are done on web.
- SAC out of the box connections available for SAP specific source systems only.
- Power BI out of the box connections available for wide range of data sources.
- Power BI will maintain authorization/roles of source systems (Checked specifically for SAP BW).
- Power BI Available SAP Sources: SAP BW, SAP HANA.
- SAC Search is not available using Bex description. Search can be done only through technical name.
- SAC Prompt Difficulty in using select all or Not equal to option.
- SAC Smart Insights and Smart discovery not available with Live connections to SAP BW. Works well with offline excels.
- SAC New calculations - with live connection new calculations can be created while creating charts. It is not available at modeling level.
- SAC Local and Global Query Elements supported.
- SAC Forecast in line charts.
- in-person training
Yes - Yet to implement and experience.
January 07, 2021

SAP Analytics Cloud is being used by a vast part of our company. We are able to ingest data from a wide range of sources and make sense of it. What otherwise would have been slow and error-prone process is now being achieved quickly and dynamically. Ability to connect to cloud sources, SQL servers and SAP On Premise is making this possible.
- Secure live connections
- Predictive forecasting
- Visualizations
- Initial setup takes time
- Some models are not available. Which seem to be getting added
December 10, 2020

Until now, we have often kept data in SAP ERP redundant for analytics. With the new SAP Analytics and the so-called CDS views, this is no longer necessary. This means we have less development effort and our customers have real-time access to analyses. Correspondingly a real WIN WIN situation. Some of our customers had already started to build their own islands. It was difficult for us to build them back. But we did it.
- Less redundant data
- High speed analytics
- Integrate with your ERP landscape
- Separate departments have to take care of the topic
- Difficult questions in the field of General Data Protection Regulation
- Steep learning curve
December 07, 2020

We have used SAP Analytics Cloud in a number of SAP implementations at our client sites. Typically, they use SAP Analytics Cloud to drive insights and knowledge related to the wealth of master data stored within an SAP ERP system such as S4 HANA or SAP ByDesign. It can also be used with a large number of third party data sources as it supports a wide range of integration strategies.
- SAP Analytics cloud is very easy to connect to an SAP system to directly consume data.
- SAP Analytics Cloud has a very strong data model building tool for curating and cleansing the data it receives from a variety of data sources.
- SAP Analytics Cloud supports a wide range of proprietary and industry standard data formats for consumption of data.
- While SAP Analytics Cloud is ideal for providing insights into an SAP system, it is a little less ideal for third party systems as this generally requires customizations. However, it still supports such scenarios and with a little extra work it does the job very well.
- SAP Analytics Cloud is a separate license from other SAP systems, meaning added cost.
January 04, 2021

We've been using SAP Analytics Cloud in our company for quite a while now. We started with the sales and marketing department, but now it is being used across the organization. It is very useful for creating meaningful reports from the extensive data coming in from various sources, and helps us in forecasting, which is a crucial part of the e-learning industry. Another great feature is that it helps us in managing data in real time.
- Easy to connect
- Built-in workflows
- Financial analysis
- Real-time reporting
- Requires a good amount of training
- Confusing for new users
- Takes time when dealing with large data sets
December 21, 2020

We have been testing SAP Analytics Cloud for the past six months to expand our BI/analytics capabilities and further integrate it with SAP Cloud solutions. Being powered by HANA with instant (built-in) data source options (BW), it piqued our interest. It is being used by selective power users/analysts throughout the entire organization. For a long time they have been asking for an all-in-one cloud-based solution where they can develop dashboards and use planning/predictive features (modules) and share them in a centralized location (digital boardroom).
- Easy ways for managing public dimensions by creating attributes
- Custom apps and widgets
- Predictive analytics capability
- Poor performance when doing modeling in the cloud
- Data preparation has limited capabilities
- Complex currency conversion
December 18, 2020

We use SAP Analytics Cloud for our internal BI requirements. We use it to see how our sales teams are performing, what do our customers say about our products, and also to understand what is the ROI for marketing spends. The data comes from different sources and the software handles it seamlessly and provides meaningful insights. We use it in two business units.
- Wrangling expression language feature works really well, it reduces most of the data modeling work which is otherwise done by an analyst.
- Application loads real quick compared to tableau or other similar tools.
- SAP Analytics Cloud Mobile App works really good, review the reports on the go.
- Its robust ability and speed of how it processes data from a variety of third-party sources.
- Frequent updates makes this a competent BI tool in the market.
- An option to share the story outside the company, similar to Google Data Studio.
- The company can look into the pricing model a bit more; there are similar tools with similar features in the market with less price.
December 16, 2020

SAP Analytics Cloud provides data exploration and visualization, through which the interactive dashboards can be created. It also has embedded machine learning algorithms, which are quite handy to use to make data-driven business decisions.
- Embedded machine learning
- Interactive visualizations
- Enterprise-wide usage
- Predictive analytics
- Connectors with multiple sources
- Templates for the visualization storyboards
- Advanced analytics and artificial intelligence
December 15, 2020

SAP Analytics Cloud is being used by different teams across the organization and on the clients projects. We have different data requirements with sets like FI, inventory, or HR. It is very easy to connect and use all these data sources. SAP Analytics Cloud is a really helpful tool for our internal and sales pitches. It also has machine learning built in, which really helps to get the insight you are looking for. SAP Analytics Cloud gives us a clear and crisp dashboard and digital boardroom for our business for deliberate planning.
- Real time Data Analysis - with connection to multiple ERP system like Oracle, SAP HANA , Excel and any 3rd party DB
- Easy to create dashboard - Drag and drop and you will get the insight from the raw data and that too real time
- Integration with R and have ML inbuilt to provide the smart insight
- Separate license cost for the product there by increasing the project budget
- Debugging is a tedious task and documentation is hard to find.
- Dashboard loading time is noticeable and require lot of improvements when compared to other dashboard tools like Tableau and Power BI
December 14, 2020

I have used SAP Analytics Cloud for my clients where it is mostly used organization wide to solve various business problems related to Sales, Finance, Inventory, etc. Mostly SAP Analytics Cloud is used to build applications for decision makers to look at the latest data and make an informed decision.
- SAP Analytics Cloud offers extensive planning capabilities in addition to Business Intelligence and Augmented Analytics in a single cloud solution.
- SAP Analytics Cloud has a robust Application builder that allows customers to build complex applications (all in the cloud) with features that may not be possible in other competing tools.
- Smart Predict using machine learning has a huge potential considering the amount of effort needed from a business user to predict the values.
- SAP Analytics Cloud could benefit from adding extensive support to non-SAP data sources.
- The imparity between building a model based on live vs import connection is definitely a con.
- SAP Analytics Cloud is not the appropriate tool for customers who are looking to build complex reports similar to the ones built using SAP Web Intelligence.
December 09, 2020

SAP Analytics Cloud enables our company's transformation process of "data-driven decision making." We are performing in a very dynamic sector and real-time data is very crucial for the competitive advantage. Our whole Executive Committee and Management team are using the SAP Analytics Cloud dashboard for both operational and strategic KPI's and performance tracking.
- Real-time data management.
- Ultimate and user-friendly dashboards for data visualization.
- Fast
- Maintenance cost is a bit high.
- Deployment might take more time.
We use [SAP Analytics Cloud] to help identify and streamline our supply chain planning for our product.
It assists in the identification of the stop blocks that are not allowing for timely changes, which areas need focus groups to work through the kinks.
It assists in the identification of the stop blocks that are not allowing for timely changes, which areas need focus groups to work through the kinks.
- Various ways to view the stories in relation to the end user that needs to view the data
- Pull in fresh data from our source ERP with the latest data while using the stories as designed.
- Allows for various users to see specific data.
- Seems hard to grasp in the beginning.
- Was a difficult learning curve - finding the correct information for the proper user type.
- More sample/standard OData queries to use or edit for individual scenarios
December 07, 2020

SAP Analytics Cloud is used for ingesting data, doing analysis, publishing reports, building visualizations within the team. Uploading data was quite easier and csv can easily be uploaded there. We also use story mode whereby we can get quite an interesting view. The discovery process in the tool is quite intuitive and allows us to find detailed insights. Visualizations are good but not as useful.
- Impressive storytelling
- Real-time analytics
- Streaming data feature
- Centralized view
- Consolidated analytics.
- Toolbar can be confusing at times
- Learning curve huge
December 07, 2020

I am both involved in development of SAC use cases as consultant for clients as well as for internal assets/showcases at my company. I have used SAC for a variety of use cases from top management reporting to planning applications. At our clients it is usually used across the organization once the decision for the product is made. Some of the teams at my current project have already set developments into productions whereas other teams will start doing so beginning Q1 2021.
- Modern charts and graphics.
- Scripting possibilities to implement business logics.
- R Integration.
- Lots of simple drag n drop development and settings.
- CSS/Layout customizations.
- Compounded Objects currently do not work in Application Designer.
- "Back" button functionality.
- Setting filters on model/data source level, not on individual chart level.
December 05, 2020

Used mainly by our business intelligence division, but available to everyone via a democratized data policy, we depend on SAP Analytics [Cloud] to drive our major product roadmap decisions using informed user-specific data. We are able to get a 360 view of our business in seconds, by mixing data from multiple streams, connecting both cloud and on-premise data to eliminate knowledge silos.
- Efficient workflow-driven UI
- Security built-in from the ground up
- Embedded machine learning
- Contextual help during workflow creation
- Error reporting and debugging during workflow execution
- New user onboarding
December 04, 2020

SAP Analytics Cloud is primarily being used for reporting purposes as well as predictions. It is used primarily for the finance and sales business functions; and not being used across all functions. It is used for generating reports on business data; analyzing the data and carrying out predictions based on the Smart Insight and Smart Discovery features.
- Great option for users to build their own stories.
- Powerful graphics.
- Great features such as Linked Analysis and Smart Insight.
- Loading time and performance require considerable improvement.
- Limited features for a live connection.
- Seamless connectivity to include other databases such as SQL, etc. as well is desired.
December 12, 2020

Worked on SAP Analytics Cloud Solutions for Oil & Gas Upstream Industry. Worked
on creation of Connection between SAP S4HC & Sap Analytics Cloud using CDS
views. Developed queries, models, stories & a digital boardroom. We used the dashboard in SAP Analytics Cloud and explored different features such as smart insights, VDT, geo map, and time series charts in IBO. It helped in taking strategic decisions and tweaking the data as per client convenience.
on creation of Connection between SAP S4HC & Sap Analytics Cloud using CDS
views. Developed queries, models, stories & a digital boardroom. We used the dashboard in SAP Analytics Cloud and explored different features such as smart insights, VDT, geo map, and time series charts in IBO. It helped in taking strategic decisions and tweaking the data as per client convenience.
- Smart Insights- User can tweak the data to get desired results
- Time Series Charts in IBO- Statistical Modeling and Machine Learning App for Time-Series Problem
- Geo Map- You can create Geographical Maps and Different Sales Level Charts using the Data
- Digital Boardroom- Accessing and interacting with your most important data, integrated across a single source of truth.
- Less Flexibility- Sometimes it is difficult to provide the desired configuration to clients.
SAP Analytics Cloud Scorecard Summary
Feature Scorecard Summary
What is 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.
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.
SAP Analytics Cloud Competitors
Microsoft Power BI, Qlik Analytics Platform, Anaplan Predictive Insights (Mintigo)
SAP Analytics Cloud Pricing
- 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
Edition | Pricing Details | Terms |
---|---|---|
Business | $21 | per user, per seat |
Enterprise | Custom | Unlimited users |
SAP Analytics Cloud Support Options
Free Version | Paid Version | |
---|---|---|
Phone | ||
Live Chat | ||
Forum/Community | ||
FAQ/Knowledgebase | ||
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. |