SAP Analytics Cloud Reviews & Product Details

I like SAP Service Cloud best for its ability to manage customer interactions, track service requests, and centralize customer information in one place. Its automation and AI-powered features help improve response times, streamline workflows, and deliver a better overall customer experience. Review collected by and hosted on G2.com.

What I dislike about SAP Analytics Cloud is that it can be complex for new users, and some advanced features require training to use effectively. The initial setup and integration with other systems can also be challenging, and performance may slow down when working with large datasets or complex reports. Review collected by and hosted on G2.com.

What I like most about SAP Analytics Cloud is how it combines data analysis, reporting, and planning in a single platform. It’s straightforward to build interactive dashboards, monitor business performance, and pull meaningful insights from the data. I also appreciate the user-friendly interface and the way it integrates with other SAP solutions, which saves time and helps me make better decisions. Overall, it makes complex data much easier to understand and work with day to day. Review collected by and hosted on G2.com.

What I dislike about SAP Analytics Cloud is that some features can be complicated to understand, especially for new users. At times, dashboards and reports take a while to load, and in certain areas the customization options feel limited. I also find the learning curve fairly steep, and when something goes wrong, troubleshooting can be challenging and time-consuming. Overall, better performance and a more user-friendly interface would significantly improve the experience. Review collected by and hosted on G2.com.

I use SAP Analytics Cloud for data analysis, reporting, tracking business performance, and understanding data through dashboards. I like having important data and reports in one place, so I don’t have to switch between tools. The dashboards are useful and the data is easy to understand. It helps me track performance, understand trends, spend less time checking information manually, and make reporting more convenient. It saves time, keeps my work more organized, and makes daily work and decision-making easier. It also works well alongside Microsoft Excel for handling data, checking reports, and comparing information. The initial setup was fairly easy, and once I had the basics organized, it became much easier to use. Review collected by and hosted on G2.com.

Sometimes SAP Analytics Cloud feels a little slow, especially when I work with large amounts of data, and reports could load faster. It also takes me some time to understand certain features, and I think the interface could be simpler for new users. I needed some time to understand the settings and get everything organized during setup. Review collected by and hosted on G2.com.

I like that SAP Analytics Cloud brings everything together in one place. Its interactive dashboards make complex data easier to understand, and I use forecasting and what-if analysis to explore business scenarios before making decisions. It saves time, reduces manual work, and makes data-driven decisions easier. It works well alongside SAP S/4HANA and Excel, making data management and analysis more convenient. The centralized data management, reporting, dashboards, and forecasting tools are a big improvement over relying on spreadsheets. The initial setup was fairly straightforward, and the platform became much easier to use after the configuration was complete. I find it a powerful tool for business analytics, reporting, and financial planning, and its features make it worth recommending despite the learning curve. Review collected by and hosted on G2.com.

I find some features complicated, especially as a new user unfamiliar with analytics tools, and the learning curve is noticeable. The interface can feel a bit slow with large datasets, and creating customized dashboards can take more time than I expect. I also think the learning resources, documentation, and setup guide could be more beginner-friendly. Getting everything configured, including connecting data sources and setting up dashboards, takes some time and technical understanding. Review collected by and hosted on G2.com.

I like how SAP Analytics Cloud links planning and analytics without making them feel like two separate worlds. When the numbers update, the plan can update too, which feels practical and kind of elegant. The collaboration features are a big win: I like commenting right on charts, sharing stories, and keeping everyone on the same page. The planning side also feels flexible enough to play out different scenarios without breaking reports. Review collected by and hosted on G2.com.

I find the learning curve steep, especially for people who are new. Performance can sometimes lag with big data on models, and the interface can feel cluttered at first, with too many panels and options until I get used to it. I also hear that the first setup takes some patience, especially when connecting data sources and setting up permissions. Review collected by and hosted on G2.com.

I like having business intelligence, predictive forecasting, and planning in one platform, especially since we work heavily in the SAP ecosystem. The live data connection is a game changer: queries run directly on the source system, so we don’t have to replicate large volumes of data, and existing authorizations, analytical privileges, and row-level security carry over to dashboards automatically. I also value the built-in enterprise planning and version management. Finance can create private what-if forecast scenarios without touching public actuals, and automated data actions and allocations take minutes instead of manual spreadsheet consolidation and distribution. Collaborative planning lets our finance and operations teams work against the same numbers. I appreciate the augmented analytics, including Smart Insights and Smart Predict, and natural-language querying, which lets executives ask business questions and get a visual without waiting for a BI developer. The unified story design works well for us too: business users can build with drag and drop, while developers can use custom scripts, conditional styling, and responsive layout containers. SAP Analytics Cloud has helped us create a single source of truth across operations and finance, gives leadership real-time visibility into actual versus budget, and cut our monthly reporting turnaround by roughly 30 to 40%. Our analysts can spend more time interpreting trends instead of compiling data. Basic user roles and initial story shells were fast and straightforward to set up, and day-to-day deployment became smooth once our infrastructure and security were in place. Review collected by and hosted on G2.com.

I find that complex stories with multiple widgets can have noticeable rendering delays if the underlying data models or views aren’t finely tuned. SAP Analytics Cloud also requires the data modeling and heavy lifting to happen upstream. The story design canvas has a learning curve, and highly customized, pixel-perfect styling or non-standard chart behavior can feel rigid compared with Power BI or Tableau. Setting up enterprise live data connections also took technical coordination; getting the initial connections running securely wasn’t plug and play. Review collected by and hosted on G2.com.

I am a finance professional with KPMG and we use SAP analytics in our valuation and advisory tasks. We use it for analysing a company’s KPIs, its financial performance, forecasting the financials and peer company analysis. It helps us in both DCF valuations and compare company valuations. Review collected by and hosted on G2.com.

I believe that advanced analytical & forecasting require specialist knowledge and it sometimes becomes difficult to handle/understand for me. I won't call it a drawback but something that the software team can look into as feedback. Review collected by and hosted on G2.com.

I use SAP Analytics Cloud for planning. It helps me understand my audience and engagement so I can plan around really accurate numbers. I also find it easy to use, and the interface is easy to maneuver around. Review collected by and hosted on G2.com.

SAP Analytics Cloud is very slow when it comes to non-SAP data. The initial setup was not easy at all, and I needed a little bit of training to know how to use it. Review collected by and hosted on G2.com.

What I like best about SAP Analytics Cloud is having analytics, planning, and reporting in one platform. It makes it easier to turn complex data into clear insights and supports faster, more informed decision-making. Review collected by and hosted on G2.com.

The main drawback for me is that SAP Analytics Cloud can sometimes feel complex, especially when setting up more advanced reports or models. There can be a learning curve, and some tasks take more steps than expected. Review collected by and hosted on G2.com.

I appreciate the robust audit trails and activity logs in SAP Analytics Cloud. They let me track who changed models or planning numbers and when, and keep a history of who submitted and approved changes. I also like the modern Fiori web tiles for role-based dashboards. After moving from Java, I value the no-code/low-code canvas because business analysts and data teams can build, format, and publish dashboards or planning models themselves, without waiting for dedicated software engineers. Review collected by and hosted on G2.com.

I find the modeling and story-design interfaces cluttered, with numerous nested panels, styling sidebars, and script editors that can overwhelm casual business users. Creating calculated measures, restricted dimensions, and advanced formulas feels rigid and less forgiving than DAX in Power BI or calculated fields in Tableau. Rigid validation checks can slow routine data entry, and multi-step transaction paths mean minor master data errors can block downstream workflows. Review collected by and hosted on G2.com.