TrustRadius Insights for SAP Analytics Cloud are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.
Pros
Planning Features: Users have expressed satisfaction with the robust planning features in SAP Analytics Cloud, which allow for detailed cost analysis, risk assessment, and efficient management tasks. Having this convenience and organization has also been incredibly time-saving for users.
Impressive Graphics: The visually appealing graphics provided by the platform enhance data interpretation and facilitate better decision-making processes. Having better graphics has additionally helped users focus and increase overall work productivity.
Seamless Integration: Customers appreciate the seamless integration of SAP Analytics Cloud with both SAP and non-SAP systems for accurate forecasting, contributing to a positive user experience and enabling effective data-driven decisions within organizations utilizing the platform.
SAP Analytics Cloud is used by us to prepare a 10 year and 5 year sales forecast and market segment growth. We use it to input data, compare with actual sales numbers and then take decisions based on the visualizations. SAP Analytics Cloud has improved our forecasting method and reduced complexity of handling multiple Excel sheets. We are using this service for marketing database, production planning and segmentation of customers.
Pros
Data visualization
Data is arranged in systematic and reproduceable manner
Increases agility of business processes like forecasting
Simple User Interface
Big data management
Cons
UI has a scope of improvement
Buffering time was more for us
Can have simpler integration with other tools like CRM and Pricing Management modules
Price is not cheap
Likelihood to Recommend
It is well suited for annual activities like 5 year business planning but it is not a easy to handle software for daily sales tracking. There are better options available.
In our organization, SAP Analytics Cloud (SAC) is used to integrate data from multiple systems and is primarily leveraged to build reports for management. We gather data from various sources and business partners, such as Netradyne and Geotab, to prepare daily business-critical reports. SAC serves as the primary tool for business intelligence, planning, and predictive analytics. It provides a unified platform for decision-makers to visualize data, create interactive dashboards, and run real-time analytics across various business functions.
Pros
Integrated with business partner GEOTAB and gather data and build reports.
Integrated with S4HANA and publish SAP related reports.
SAC also server as Database for Business Intelligence reports.
Cons
SAC's planning module lacks advanced features like audit trails, driver-based planning, complex formula handling, and advanced approval workflows.
Just like CPI, It can have more workflow representation of overall flow.
Likelihood to Recommend
Executives and business leaders need real-time visibility into operational KPIs.
VU
Verified User
Team Lead in Information Technology (1001-5000 employees)
SAP Analytics Cloud is our primary tool for business decision making. We have implemented multiple modules interlinked with each other these include cost management, Operations & risk management. Data visualization has become quite easier and the dashboards can be access restricted making it suitable for multiple levels. The suite provides a unified approach to organizational analytics.
Pros
Cost analysis & path charting.
Risk analysis & management.
Data visualization along with decisions & planning.
Cons
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.
Likelihood to Recommend
SAP Analytics Cloud combines all aspects of out business in a single platform. Various pipelines can be clubbed and analyzed simultaneously for better decision making. Data visualization models for reporting are the cherries on top. 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.
IT WAS A GOOD SOFTWARE VERY EASY TO USE AND ACCEESS. WE USED TO ULOAD OUR CLOUD DOCS ON THE web and download it later from cloud, comuting use. also we sent pictures to intereseted customers of the product through this service. it was easy effcient and helpul for both sides.
Pros
Commuting
Data Visulization
Mobile Accessibility
Security and Compliance
Cons
Performance Optimization
Cost Transparency
Integration Challenges
Likelihood to Recommend
SAP Ecosystem Integration:For businesses already using other SAP solutions such as SAP BW or SAP HANA, SAP Analytics Cloud is a natural fit. It integrates well with the broader SAP ecosystem, providing a cohesive analytics experience for users familiar with SAP technologies.Predictive Analytics Use Cases:Companies seeking to incorporate predictive analytics into their decision-making processes can leverage SAP Analytics Cloud. Its built-in predictive features enable users to create models and gain insights into future trends based on historical data.
Enhance my knowledge base: I can stay up-to-date on the latest business trends and insights by analyzing data from SAP Analytics CloudGenerate reports and dashboards: I can use the data from SAP Analytics Cloud to create custom reports and dashboardsAutomate tasks: I can automate some of the data analysis tasks that you would normally do in SAP Analytics Cloud. This can save you time and effort, allowing you to focus on more strategic work.Answer your questions: I can answer your questions about your business by accessing and analyzing data from SAP Analytics Cloud. This includes questions about sales, marketing, finance, and operations.Overall, while I don't directly use SAP Analytics Cloud as a user, I can leverage its data and functionality to provide you with a variety of valuable services.
Pros
Dashboards
Answer Business questions
Easy to use it
Cons
Support. Internal support must be quickly
Gamefication content to improve our knowledge level
Explore more connections ETF
Likelihood to Recommend
Dashboard and update information is so important to drive our decision based on facts, this is important to save, time money and improdutivo meeting without any data or decision to make. sometimes the dashboard update is so slow and require a minimal logic to get the information that we need to our business.
My team and I use SAP analytics cloud to analyze bulk of CRM data, create segmentation and automated workflows for decision making. With Cloud Analytics, we can generate insights from sales data at a daily, monthly and even quarterly cadence. We can even create the mandates for sales team basis their performance throughout the funnel basis their lead data.
Pros
Data security
Access control
Access from anywhere
Cons
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.
Likelihood to Recommend
Well suited for distributed access control wherein you need to give a dashboard to individual sales team members, especially for target vs achievement incentivization schemes. The team can see live tracking data on top of custom dashboard to monitor & act at all times. It is less appropriate for custom querying and aggregation.
VU
Verified User
Strategist in Product Management (1001-5000 employees)
As a sponsoring editor, one of my job roles entails analyzing sales data to make financial projections for products in my portfolio. SAP Analytics Cloud helps make forecasts in my business proposals using real world data for accurate projections. It also helps me predict financial outcomes based on decisions taken, as well as create budgets keeping in mind the financials of the department as a whole. As a cloud-based product, I also appreciate that it works seamlessly while I collaborate with colleagues around the world.
Pros
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.
Cons
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.
Likelihood to Recommend
SAP Analytics Cloud is well suited in large companies that require input from across departments and markets to create accurate financial plans. Its AI and machine learning features are particularly helpful in making accurate projections. It is also handy if you have to collaborate with colleagues around the world in real-time. However, it would not be appropriate for small or mid-sized companies considering that its full features are unlocked only with other SAP products.
VU
Verified User
Project Manager in Product Management (10,001+ employees)
In our company, we handle numerous part lists according to client, dimension, region, and company using SAP Analytics Cloud. We oversee additional departmental data as well. We are moving from several outdated ERP systems to a single SAP system.
Pros
Bom management
dashboards, charts, and graphs for forecast trends and patterns
Integration with other PLM systems
Cons
handling large data can be sometimes leads to lagging
user manual can be more simpler
ticket resolving issue takes time
Likelihood to Recommend
SAP Analytics Cloud is well suited for creating dashboards, charts, and graphs which helps in understanding trends and forecast and helpful in sorting out data from number of data at a time. Sometime for users with less experience can be hard to understand the interface.
We are using this to forecast consumer attitudes about goods in order to build on what is planned for the future or to improve customer experience. 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.
Pros
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
Cons
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
Likelihood to Recommend
Based on experience, this is really helpful for study any data, analysis of data with great reporting. 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.