From raw data to real time insights.
Updated November 04, 2025

From raw data to real time insights.

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with SAP Analytics Cloud

We use it to unify data from multiple systems - our ERP, Salesforce crm, and our proprietary lab information system. All into a single analytical layer. I build predictive models for things like reagent forecasting and vendor performance analytics. These use live data connections from SAP.

Pros

  • Awesome visualizations.
  • The cloud environment is fairly consistent.

Cons

  • We manage nearly 40 data models feeding into separate story dashboards. SAC doesn't handle versioning gracefully.
  • Improved data governance and compliance for a highly regulated industry like ours.
  • Lower dependence on 3rd party BI tools.
The layout is clean and feels natural 90 percent of the time. Some of my frequently used features like workflows for scheduling reports are however buried under too many steps.
Power BI had several mismatched hierarchies in our pilot.

Do you think SAP Analytics Cloud delivers good value for the price?

Yes

Are you happy with SAP Analytics Cloud's feature set?

Yes

Did SAP Analytics Cloud live up to sales and marketing promises?

No

Did implementation of SAP Analytics Cloud go as expected?

Yes

Would you buy SAP Analytics Cloud again?

Yes

It is exceptional in tying business, finance, and operational data together. Not so much when you're dealing with unstructured data like logs stored in MongoDB.

SAP Analytics Cloud Feature Ratings

BI Platform ()
Not Rated
Supported Data Sources ()
Not Rated
7.5
Pixel Perfect reports
7
Customizable dashboards
8
Report Formatting Templates
Not Rated
7.5
Drill-down analysis
8
Formatting capabilities
7
Integration with R or other statistical packages
7
Report sharing and collaboration
8
7.6
Publish to Web
8
Publish to PDF
7
Report Versioning
8
Report Delivery Scheduling
8
Delivery to Remote Servers
7
7.5
Pre-built visualization formats (heatmaps, scatter plots etc.)
8
Location Analytics / Geographic Visualization
7
Predictive Analytics
7
Pattern Recognition and Data Mining
8
7.6
Multi-User Support (named login)
8
Role-Based Security Model
7
Multiple Access Permission Levels (Create, Read, Delete)
8
Report-Level Access Control
7
Single Sign-On (SSO)
8
7.7
Responsive Design for Web Access
8
Mobile Application
6
Dashboard / Report / Visualization Interactivity on Mobile
9
7.5
REST API
8
Javascript API
7
iFrames
7
Java API
8
Themeable User Interface (UI)
8
Customizable Platform (Open Source)
7

Using SAP Analytics Cloud

10 - The core users in our company sit mostly within data strategy, ops and product analytics. Our data steam uses it to build integrated dashboards that pull from multiple health data pipelines. The ops team on the other hand rely on those same dashboards for forecasts. More recently, a few folks from the sales team have started dipping their toes in too, mainly to visualize client trends and engagement data
4 - The main guy is myself since I'm the data architect. I handle the backbone stuff. Integrating our existing data warehouse, setting up secure data connections and managing permissions across users. There's also a cloud engineer, a data analyst and a business analyst in my team. It all comes down to a mix of technical depth and domain understanding.
  • forecasting resource utilization
  • Compliance monitoring
  • clinical outcomes analysis and reportiig
  • Our biomedical engineers were juggling performance logs from device prototypes in separate systems. I helped them funnel all that telemetry into Sap via an OData connection
  • I've been experimenting with integrating SAP'S data stories with gen ai agents so i can automatically produce plain language summaries of dashboards. Useful for execs who want quick briefings
SAP's way too deep into our systems at this point I can't even imagine our operations without it. It would take a miracle for us to cancel

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