SAP Analytics Cloud Future of Business Analytics.
January 07, 2026

SAP Analytics Cloud Future of Business Analytics.

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

Overall Satisfaction with SAP Analytics Cloud

SAC (SAP Analytics Cloud) is a powerful tool for leveraging stored historical data in the BI module to generate meaningful insights for senior managers and CXOs (Executive levels). Using the SAC report in the GSC (Global Supply Chain) Make module helped to do inventory planning and demand forecasting using BI historical data and Cloud analytics capabilities. It helped to do financial planning for placing Purchase Orders by doing in-advance analytics-based real-time planning for raw or semi-finished goods demand.

Pros

  • SAC has well-built integration points with BI data sources, the S/4HANA backend system, and 3rd-party tools to extract and derive meaningful insights from past data.
  • SAC reports provide an interactive way to analyze data across multiple dimensions, enabling Leaders to see different perspectives before making a decision. This means you don't have to spend hours doing analysis in different ways to see the actual output for decision-making. SAC provides a single dashboard for multi-dimensional analysis.
  • Its user-friendly UI and dashboard-based reports make it easy for a commoner to use. Its accessibility across multiple devices, such as mobile/ laptop, and tablet, makes it an on-the-go decision-making tool, available anywhere and everywhere.

Cons

  • Integration with 3rd party system might require not-so-easy configurations and set-up that might be time taking and not plug-and-play kind.
  • For very large dataset, the performance issue might be observed that may be a negative as compared to competitor tool's performance.
  • While it works seamlessly with HANA and SAP BI dataset, integration with 3rd party systems like Blue Yonder or Oracle Financials might not be efficient when extracting data and creating meaningful insights.
  • Using SAC has helped decision-making be faster and inventory management be more efficient, particularly in determining when to raise a supplier order for raw/semi-finished goods for the Production line. Lesser inventory wait time means less warehouse idle time, thus reducing warehouse space costs by 20%. Over the period, the warehouse space cost can be optimized to save more than 30% in rental or space cost.
  • SAC, with its predictive analytics capabilities, can pinpoint cost-overrun areas across Business functions, where management focus can reduce such costs and increase revenue. e.g., In Production planning, it can show data insights into bottleneck areas on the shop floor, where overall production capacity can be increased by deploying more machines, automation, or manpower. In a large setup where departments work in silos, it's particularly useful to churn out meaningful data insights by integrating data from various departments. ROI on SAC can break even in a short period if deployed efficiently across different Business functions.
SAP SAC is a result-oriented, powerful tool that provides meaningful data insights to enable better, faster decision-making and reasonable predictive analytics. Its cloud-hosted SaaS capabilities make it an easy-to-use, anywhere-accessible, and highly scalable solution for working with medium- to very-large-scale datasets. SAP is making it more performance efficient with the upcoming release. In short, it's a MUST-HAVE for all businesses already running on SAP S/4HANA and BI tools.

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?

I wasn't involved with the selection/purchase process

Did implementation of SAP Analytics Cloud go as expected?

Yes

Would you buy SAP Analytics Cloud again?

Yes

>> Using SAC predictive analytics capabilities for inventory management in a Production line setup has helped generate Purchase Requisitions and Purchase Orders for raw or semi-finished goods without much head-banging into Demand management rules. It does it beautifully with seamless integration with HANA core MM and PP modules, along with BI integration. It has resulted in 30% greater warehouse storage capacity, thereby saving revenue from piled-up inventory and associated manpower costs. >> SAC sometimes shows latency in working out a large data set, thus giving a poor user experience compared to its competition. Also, it may occasionally show misinterpretations when embedding data from 3rd-party systems into the HANA core dataset.

SAP Analytics Cloud Feature Ratings

BI Platform ()
Not Rated
Supported Data Sources ()
Not Rated
8.3
Pixel Perfect reports
8
Customizable dashboards
9
Report Formatting Templates
8
8.5
Drill-down analysis
9
Formatting capabilities
8
Integration with R or other statistical packages
8
Report sharing and collaboration
9
8.5
Publish to Web
9
Publish to PDF
9
Report Versioning
8
Report Delivery Scheduling
8
7.8
Pre-built visualization formats (heatmaps, scatter plots etc.)
8
Location Analytics / Geographic Visualization
7
Predictive Analytics
8
Pattern Recognition and Data Mining
8
9.0
Multi-User Support (named login)
9
Role-Based Security Model
9
Multiple Access Permission Levels (Create, Read, Delete)
9
Report-Level Access Control
9
Single Sign-On (SSO)
9
8.7
Responsive Design for Web Access
8
Mobile Application
9
Dashboard / Report / Visualization Interactivity on Mobile
9
8.2
REST API
9
Javascript API
8
iFrames
8
Java API
8
Themeable User Interface (UI)
8
Customizable Platform (Open Source)
8

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