SAP Analytics Cloud Experience
Updated December 03, 2025

SAP Analytics Cloud Experience

Naresh Nukala | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with SAP Analytics Cloud

We use this product to build the demo contents to the customers to show case the capability of the product

Pros

  • Planning
  • Reporting
  • Workflow

Cons

  • Linked analysis is not available for story filters
  • SAP Analytics Cloud Excel Add-in does not have all the features which has in SAP Analytics Cloud Web
  • Can't retract master data
  • Minimize the End users efforts on Budgeting and forecasting
  • Collaboration
  • Reporting
SAP Analytics Cloud is a evolving tool for SAP, now its tightly integrated with BDC for seamless planning
  • SAP BPC (Business Planning and Consolidation)

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?

Yes

Did implementation of SAP Analytics Cloud go as expected?

Yes

Would you buy SAP Analytics Cloud again?

Yes

SAP Analytics Cloud is fully packed product which will help end users to perform their annual planning and forecasting

SAP Analytics Cloud Feature Ratings

BI Platform ()
Not Rated
Supported Data Sources ()
Not Rated
10.0
Pixel Perfect reports
10
Customizable dashboards
10
Report Formatting Templates
10
9.3
Drill-down analysis
10
Formatting capabilities
10
Integration with R or other statistical packages
7
Report sharing and collaboration
10
8.6
Publish to Web
10
Publish to PDF
10
Report Versioning
10
Report Delivery Scheduling
7
Delivery to Remote Servers
6
9.3
Pre-built visualization formats (heatmaps, scatter plots etc.)
7
Location Analytics / Geographic Visualization
10
Predictive Analytics
10
Pattern Recognition and Data Mining
10
10.0
Multi-User Support (named login)
10
Role-Based Security Model
10
Multiple Access Permission Levels (Create, Read, Delete)
10
Report-Level Access Control
10
Single Sign-On (SSO)
10
7.0
Responsive Design for Web Access
7
Mobile Application
7
Dashboard / Report / Visualization Interactivity on Mobile
7
6.8
REST API
7
Javascript API
7
iFrames
5
Java API
7
Themeable User Interface (UI)
7
Customizable Platform (Open Source)
8

Using SAP Analytics Cloud

100 - Finance & FP&A : Budgeting, forecasting, rolling forecasts & Management reporting
Business / Operations Leadership: KPI monitoring, Operational performance
10 - 1–2 SAC Administrators



2–4 Modelers/Report Developers



1–2 Data Engineers/Integration SMEs



1 Planning Process Owner or FP&A Architect



1 Governance/Analytics Lead (optional)
  • Annual operating plan & budget
  • Driver-based planning
  • P&L, balance sheet, and cashflow planning
  • Integrated business planning across functions
  • Real-Time KPI “Nerve Centers” for Strategic Decision Rooms
  • Predictive Forecasting for Non-Financial Scenarios
  • Interactive Storytelling for Client Deliverables
  • Resource Optimization & Skills-Based Capacity Planning
  • Automated Compliance, Audit & Risk Monitoring Dashboards
  • AI-driven predictive planning
  • Automated financial close narrative reporting
  • Cross-enterprise KPI intelligence hubs
  • Client-facing analytics and digital services
1. Strong integration with SAP S/4HANA, BW/4HANA, and Datasphere
2. Unified platform for planning + analytics

Evaluating SAP Analytics Cloud and Competitors

Yes - On-Premise BI Tools
SAP BusinessObjects (WebI, Lumira)



IBM Cognos



Oracle OBIEE
Excel-Based Planning & Reporting Processes
SAP BPC (Business Planning & Consolidation)
Hyperion Planning
(Oracle)Anaplan


  • Cloud Solutions
  • Scalability
  • Integration with Other Systems
  • Ease of Use
  • Other
The single most important factor was SAC’s native integration with SAP systems.
No other analytics or planning tool provides the same level of real-time connectivity, shared metadata, security alignment, and seamless integration with S/4HANA and BW/4HANA.
This integration significantly reduced complexity, improved data consistency, and enabled faster time-to-value compared to competing platforms.
Organizations almost always identify several areas they would strengthen or approach differently in hindsight. Here is a clear, executive-ready explanation:Run More Hands-On, Real-Data Pilots EarlyInvolve a Broader Set of Business Stakeholders
Put More Weight on Integration and Architecture (Not Just Features)

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