Overview
What is SAP Analytics Cloud?
The SAP Analytics Cloud solution brings together analytics and planning with integration to SAP applications and access to heterogenous data sources. As the analytics and planning solution within SAP Business Technology Platform, SAP Analytics Cloud supports trusted insights and integrated…
SAP Analytics Cloud Review
Review
SAP Analytics Cloud - future of SAP Analytics
Good enough and deliver good insights
Fantastic easy to use and implement cloud analytics platform.
Use it anywhere CRM analytics!
SAP Analytics Cloud: Unlock the Power of AI for Accurate Projections
Experience on SAP Analytics Cloud for mechanical manufacturing field
SAC - Driving 360 degree Analytical need of Industry
Excellent software for accurate analysis
SAC Accelerating Business Intelligence and Collaboration
SAP Analytics Cloud is good but opportunity to improve
SAP Analytics Cloud Review
Must use for Analytics use cases
Awards
Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards
Popular Features
- KPIs (261)8.383%
- Management reporting (265)8.383%
- Personalized dashboards (270)8.282%
- Color-coded scorecards (255)8.181%
Reviewer Pros & Cons
Video Reviews
1 video
Pricing
SAP Analytics Cloud for Business Intelligence
$36.00
SAP Analytics Cloud for Planning
Price upon request
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Starting price (does not include set up fee)
- $36 per month per user
Features
BI Standard Reporting
Standard reporting means pre-built or canned reports available to users without having to create them.
- 7.8Pixel Perfect reports(204) Ratings
Pixel Perfect reports are highly-formatted reports with graphics and ability to preview the report before printing.
- 8.1Customizable dashboards(242) Ratings
Customizable dashboards are dashboards providing the builder some degree of control over the look and feel and display options.
- 7.9Report Formatting Templates(220) Ratings
Ad-hoc Reporting
Ad-Hoc Reports are reports built by the user to meet highly specific requirements.
- 8Drill-down analysis(248) Ratings
Drill down analysis is the ability to get to a further level of detail by going deeper into the hierarchy.
- 7.9Formatting capabilities(245) Ratings
Ability to format output e.g. conditional formatting, lines, headers, footers.
- 7.8Integration with R or other statistical packages(190) Ratings
Integration with the open-source R predictive modeling environment.
- 7.9Report sharing and collaboration(235) Ratings
Report sharing and collaboration is the ability to easily share reports with others.
Report Output and Scheduling
Ability to schedule and manager report output.
- 8.1Publish to Web(208) Ratings
- 8.2Publish to PDF(233) Ratings
- 8.1Report Versioning(202) Ratings
Report versioning is the assignment of version numbers to each version of a report to help in tracking.
- 7.9Report Delivery Scheduling(194) Ratings
Report Delivery Schedule is the ability to have reports delivered to a destination at a specific data and time.
Data Discovery and Visualization
Data Discovery and Visualization is the analysis of multiple data sources in a search for patterns and outliers and the ability to represent the data visually.
- 7.8Pre-built visualization formats (heatmaps, scatter plots etc.)(239) Ratings
Pre-built visualization formats are canned visualization types that can be selected to visualize different kinds of data.
- 7.8Location Analytics / Geographic Visualization(232) Ratings
Location analytics is the visualization of geographical or spatial data.
- 7.9Predictive Analytics(236) Ratings
Predictive Analytics is the ability to build forecasting models based on existing data sets.
- 7.8Pattern Recognition and Data Mining(34) Ratings
Pattern recognition and data mining mean the ability to recognize hidden patterns in large quantities of data.
Access Control and Security
Access control means being able to determine who has access to which data.
- 8.1Multi-User Support (named login)(235) Ratings
Named model access means that users have access based on name and password.
- 8.1Role-Based Security Model(242) Ratings
Role-based access means that access to data is determined by job or position in the corporation.
- 8Multiple Access Permission Levels (Create, Read, Delete)(233) Ratings
Multiple access permission levels means that different levels of users have different rights.
- 8.1Report-Level Access Control(45) Ratings
Report-level access control means that the type of report determines who has access to it.
- 8.6Single Sign-On (SSO)(236) Ratings
Allows users to use one set of login credentials to access multiple applications
Mobile Capabilities
Support for mobile devices like smartphones and tablets.
- 7.9Responsive Design for Web Access(208) Ratings
Web design aimed at producing easy-to-read sites across a range of different devices.
- 7.8Mobile Application(180) Ratings
A dedicated app for iOS and/or Android.
- 8Dashboard / Report / Visualization Interactivity on Mobile(203) Ratings
In-app dashboard reports and data visualization.
Budgeting, Planning, and Forecasting
These activities are designed to assist with both data-driven operational, short-term planning and strategic long term planning
- 7.6Long-term financial planning(233) Ratings
3-5 year financial plan with cashflow.
- 7.8Financial budgeting(239) Ratings
Annual budget for revenue and operating expenses, headcount/compensation, capital expenses, projects, etc.
- 7.9Forecasting(246) Ratings
Combining actuals and budgets, rolling forecasts, driver-based models.
- 7.5Scenario modeling(237) Ratings
Financial or operational modeling of alternate future states and planning for each.
- 8.3Management reporting(265) Ratings
Budget vs. actual or forecast, P&L’s, performance over time, between products etc.
Consolidation and Close
Consolidation of data from multiple entities with currency management, reporting and audit trails.
- 7.4Financial data consolidation(183) Ratings
Consolidating data from several entities into a single statement using US GAAP, IFRS or other standards.
- 7.7Journal entries and reports(173) Ratings
Ability to enter journal entry adjustments and produce reports showing all journal entries for a specific period.
- 7.5Multi-currency management(188) Ratings
Ability to handle foreign currency conversions during consolidation.
- 7.4Intercompany Eliminations(143) Ratings
Matching and elimination of intercompany revenue, expenses, and balance sheet accounts.
- 7.5Minority Ownership(129) Ratings
Consolidate financials full or partial ownership of subsidiaries, equity pick-up.
- 8Local and consolidated reporting(180) Ratings
Ability to report against individual business entities and the consolidated umbrella entity.
- 7.6Detailed Audit Trails(170) Ratings
Tracing changes to data and processes that were run.
Financial Reporting and Compliance
Financial statements and regulatory filings
- 7.9Financial Statement Reporting(213) Ratings
Creation and production of balance sheets, income statements, cash flows, other schedules
- 8.3Management Reporting(244) Ratings
Tools facilitating creation of internal ad hoc or standard reports.
- 8Excel-based Reporting(225) Ratings
Ad hoc or formatted reports using MS Excel.
- 8.1Automated board and financial reporting(203) Ratings
Tools to help automate creation of regulatory reports such as SEC filings and board books.
- 7.6XBRL support for regulatory filing(114) Ratings
Support for the XBRL standard reporting format for exchanging financial data.
Analytics and Reporting
Dashboards and scorecards for KPI monitoring and benchmarking
- 8.2Personalized dashboards(270) Ratings
Create custom dashboards and reports without the help of IT or administrators.
- 8.1Color-coded scorecards(255) Ratings
Track and analyze performances with interactive, color-coded balanced scorecards.
- 8.3KPIs(261) Ratings
Select from a library of more than 6,000 key performance indicators, and incorporate KPIs into your planning process.
- 8.3Cost and profitability analysis(243) Ratings
Cost and profitability analysis provides data for business decision making.
- 8.3Key Performance Indicator setting(246) Ratings
Ability to set key performance indicators for measuring progress towards goals.
- 7.6Benchmarking with external data(206) Ratings
CPI, daily exchange rates, industry KPIs. with scheduled data refreshes.
Integration
Ability to integrate with external applications.
- 7.7Flat file integration(244) Ratings
Integration of flat files like text documents and comma separated files
- 7.9Excel data integration(247) Ratings
Ability to integrate directly with Excel data.
- 7.1Direct links to 3rd-party data sources(226) Ratings
Integration with external applications like ERP, CRM, HCM
Product Details
- About
- Competitors
- Tech Details
- FAQs
What is SAP Analytics Cloud?
SAP Analytics Cloud Competitors
SAP Analytics Cloud Technical Details
Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
---|---|
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. |
Frequently Asked Questions
Comparisons
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Reviews and Ratings
(798)Attribute Ratings
Reviews
(1-25 of 298)- Cost analysis & path charting.
- Risk analysis & management.
- Data visualization along with decisions & planning.
- Product is sophisticated and requires trainings.
- Noticeable lags between acquired & live data.
- If we remove the limitations on the number of cells data, we get performance issues.
It might not be suitable for businesses that aren't keen on investing such a large amount for their Analytics needs as there are multiple vendors available that do it for a much lesser price, such as Zoho.
SAP Analytics Cloud Review
- Excellent planning capabilities
- Rich visuals
- Predictive capabilities
- Reduce customizations
- Tie into Group reporting to also offer consolidations
Review
- Commuting
- Data Visulization
- Mobile Accessibility
- Security and Compliance
- Performance Optimization
- Cost Transparency
- Integration Challenges
SAP Analytics Cloud - future of SAP Analytics
- Data Visualization
- Planning and Forecasting
- Integration with SAP and Non-SAP Systems
- Pricing Transparency
- Offline Access
- Customization Options
- Performance and Speed in case of large data set
Good enough and deliver good insights
- Dashboards
- Answer Business questions
- Easy to use it
- Support. Internal support must be quickly
- Gamefication content to improve our knowledge level
- Explore more connections ETF
Fantastic easy to use and implement cloud analytics platform.
- It makes it easier yo analyse order and related records easily.
- We can easily maintain and track the performance of employees in organisation.
- Can easily track various aspects for the growth of an organisation thus allowing real time analysis and tracking of organisation's growth and performance.
- User Interface of SAP cloud analytics can be improved more so that it can be made more accessible.
- User support is not that much good and time consuming.
- Limited team work and collaboration possible as their are not much collaborative features available, it makes it sometime time consuming.
Use it anywhere CRM analytics!
- Data security
- Access control
- Access from anywhere
- The mobile app could be faster & lighter. Currently it hangs often while loading dashboards.
- It takes some time to get accustomed to a new peson. The training modules are not very informative.
- Difficult to integrate with existing legacy systems.
It is less appropriate for custom querying and aggregation.
SAP Analytics Cloud: Unlock the Power of AI for Accurate Projections
- It uses machine learning to reveal patterns and relationships in data to help make accurate projections.
- It can support a lot of users which is vital in companies that require input across departments to make financial plans.
- It works seamlessly over the cloud.
- It lacks customization features, so it can't be tailored to a company's specific needs.
- It is highly dependent on other SAP products to unlock its full potential.
- For first-time users, its environment can get a bit confusing.
Experience on SAP Analytics Cloud for mechanical manufacturing field
- Bom management
- dashboards, charts, and graphs for forecast trends and patterns
- Integration with other PLM systems
- handling large data can be sometimes leads to lagging
- user manual can be more simpler
- ticket resolving issue takes time
SAC - Driving 360 degree Analytical need of Industry
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.
SAC is very well suited for planning budget & forecast scenarios for companies' financial needs. SAC is the only tool having all three different type of Analytics i.e. Descriptive, Predictive & Prescriptive analysis. SAC has an inbuilt R Server and also supports R integration with external server for more of predictive analysis and superb visuals. The same story can be seen in desktop, laptop including mobiles & tab so no extra work for getting reports on mobile except for API integration. SAC supports importing data from non-SAP environments and provides seamless live connectivity to SAP HANA cloud systems.
SAC will not be that useful where more of operation reporting is required though it is capable of providing Excel-like interface with similar functionalities.
Excellent software for accurate analysis
This is also, helping us to do better reporting to management. these reports create by transforming data saving more time while taking some decisions.
The option to utilize built-in algorithms or expand using R has real deal.
- Quick Reporting, You can get quick report by transforming data into insightful reports.
- Built-in algorithms, there number of built in algorithms which helps to get great results
- We can use R for more expansions
- Costing, costly way for low margin/small scale enterprises.
- With volume of data increase it slows down
- Adding a sequence on a SAP Predictive Analytics server is quite difficult
Large scale organization can afford the pricing as it is on higher side.
with huge volume of data slowness is the issue so, need to consider volume till the time this issue gets resolved.
SAC Accelerating Business Intelligence and Collaboration
It enables us to track key performance indicators (KPIs) for each startup in our portfolio. This includes monitoring metrics related to customer acquisition, revenue growth, and operational efficiency. The real-time analytics provided by SAC empower us to gauge the success of each startup and identify areas for improvement.
- Portfolio Health Analysis
- Performance Tracking and KPI Monitoring
- Resource Allocation and Planning
- Complexity in Data Modeling
- SAC supports various data sources, but improvements in the ease of connecting to and integrating with certain data repositories, especially non-SAP databases, would enhance the platform's versatility and integration capabilities.
- An offline mode for SAC could be valuable for users who need to access and analyze data without an internet connection. Additionally, optimizing performance for large datasets and complex visualizations would contribute to a smoother user experience.
SAP Analytics Cloud is good but opportunity to improve
- opecx planning
- cogs
- better performance for the volunetery data needed
- wish it was more user friendly
SAP Analytics Cloud Review
- Planning
- Workflows
- Collaboration features
- Integration across SAC instances (Productive to productive environments)
- More data volumetry in the models
- Increased performance capacity on public cloud
Must use for Analytics use cases
- Real time analytics
- Easy to understand
- Interactive dashboards
- So, Integration can be more smoother
SAP Analytics Cloud review
- Role inheritance
- Security
- Analytic designer
- Data blending
- Edit model is locked to enhance new fields in import based connection
- Live connection with cloud centric azure and GCP
Nice experience when reporting online S4
- Easy to get figures with live connection and existing queries
- Quite easy to create nice looking reports
- Quite fast even with live connection
- Sharing of reports for non SAP Analytics Cloud users
- No possibility to print report to Excel
- Easier publishing of reports to other users
Short but dated View on SAP Analytics Cloud
- Visualisation
- Ease of use
- Different reporting capabilities
- Capabilities on different versions of BW
- Performance
SAC review
- Integration with SAPdata
- Planning
- Forecasting
- User Interface
- Formatting
SAC is good for any finance user
- Visualization
- Clear
- Intuitive
- I would like to send reports as e.g. excel
SAC review
- Analysis planning
- Visualize complex data
- Gather data from different sources
SAC planning is a game changer in our organisation
- Easy to get started with
- Linked analysis
- Easy data entry for planning
- Copying own measures to other stories
- Linking own models with live connections
- Guiding you through best practices while building stories
Use SAC with your SAP analytics data, but don't try to model it together with other data sources...
- Financial Planning
- Dashboarding
- Live data connection to SAP backend systems
- Data wrangling
- Automation of data (file) uploads
SAP SAC at a glance!
- KPI Reporting and use of numeric graphs
- Ease of measure formatting and calculating of key figures based on individual reporting requirements.
- Sharing and broadcasting of Stories
- Data slicing and dicing capabilities could be more intuitive for use.
- Data transforming while uploading from local file server could have more ETL options
- Ease of table functions, on similar lines to SAP Analysis for Office.
SAC user admin
- User friendly UI
- User groups simplify admin work
- More centralized user admin tools