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SAP Analytics Cloud is ranked #6 on the top 10 Business Intelligence Tools leaderboard based on a comprehensive analysis performed by SelectHub research analysts. Compare the leaders with our In-Depth Report.

SAP Analytics Cloud Pricing

Based on our most recent analysis, SAP Analytics Cloud pricing starts at $36 (Per User, Monthly).

Price
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Starting From
$36
Pricing Model
Per User, Monthly
Free Trial
30 Days (Request for Free)

Training Resources

SAP Analytics Cloud is supported with the following types of training:

Documentation
In Person
Live Online
Videos
Webinars

Support

The following support services are available for SAP Analytics Cloud:

Email
Phone
Chat
FAQ
Forum
Help Desk
Knowledge Base
Tickets
Training
24/7 Live Support

SAP Analytics Cloud Benefits and Insights

Why use SAP Analytics Cloud?

Key differentiators & advantages of SAP Analytics Cloud

  • Embedded Analytics: SAP Analytics Cloud, with a score of 100, is among the top five BI tools for embedded capabilities. It handles bidirectional filtering between your app and the embedded content, supports secure multi-tenant deployments, and lets you write back directly to SAP BW/4HANA through OData. Tableau can’t do that without extra tools, and SAS doesn’t support it at all.
  • Mobile Capabilities: SAP Analytics Cloud (90) ranks ahead of Spotfire (84) and Qlik Sense (79) for mobile functionality. You can stay informed with push notifications, collaborate using in-app discussions, and make decisions on any device, thanks to a responsive design.

Industry Expertise

SAP Analytics Cloud is a solution for all industries. It has an especially effective implementation in sales, marketing, finance, operations, human resources, public services, oil and gas, real estate and more. It also offers a multitude of business content packages that provide end-to-end dashboards for a wide range of industries.

SAP Analytics Cloud Reviews

Based on our most recent analysis, SAP Analytics Cloud reviews indicate a 'great' User Satisfaction Rating of 84% based on 2054 user reviews from 5 recognized software review sites.

User satisfaction level icon: great

2054 reviews

84%

of users would recommend this product

Synopsis of User Ratings and Reviews

Based on an aggregate of SAP Analytics Cloud reviews taken from the sources above, the following pros & cons have been curated by a SelectHub Market Analyst.

Pros

  • Data Visualization: Approximately 91% of users who reviewed visualization said that they can customize dashboards effortlessly with the solution’s wide range of templates and graphics libraries.
  • Ease of Use: Citing the platform’s modern and intuitive interface, around 89% of reviewers said that the platform makes it easy to develop stories without technical knowledge thanks to Smart Discovery.
  • Data Analysis: Mentioning its forecasting and predictive analysis capabilities, approximately 87% of the people reviewed said that the solution enables collaborative enterprise planning via statistical and predictive analysis.
  • Web and Mobile Accessibility: Discussing its easy accessibility on multiple browsers, around 72% users said that the platform works well on a wide range of devices.
  • Data Connectivity: Approximately 70% of the reviewers who mentioned integration said that the tool, with strong live data connections, integrates well with other applications and data sources.
  • Functionality: Around 55% of the users who discussed features said that the tool is scalable and quite versatile, with frequent updates.

Cons

  • Performance: Approximately 85% of users who reviewed performance said that some features do not work well at the enterprise level.
  • Reporting: Around 58% of the reviewers who mentioned reporting said that report creation with the tool is complicated and needs IT support.
  • Data Management: Approximately 52% of users who discussed data preparation said that the platform needs more ubiquitous data modeling capabilities.

Researcher's Summary:

SAC acts as a hub for your myriad SAP modules, pulling together business planning and consolidation, finance, ERP and supply chain management. While all these SAP products are giants in their own right, SAC gives you, the user, a unified platform to make sense of your data with in-app data modeling and analytics.

I spent time working with SAP analytics with the 30-day trial, which includes access to SAP Datasphere (formerly SAP Data Warehouse), and while the back-end capabilities are there, I hit snags early. The AI assistant built into Datasphere couldn’t launch any tutorials, and I had to fall back on YouTube just to understand basic tasks. This wasn’t a one-off — the native help content repeatedly broke, leaving the first mile experience more frustrating than it should’ve been.

Once inside, I found the data integration impressive. You can pull from Excel, CSV and even Google Sheets. Performance was solid when working with SAP data, but I noticed sluggishness even with smaller file uploads, suggesting scale may become a bottleneck outside the SAP ecosystem. That matches what around 85% of enterprise users have reported in reviews.

Most users who reviewed data integration said the tool handles large amounts of data seamlessly, and SAP scores a perfect 100 in our analysis for data management, at par with MicroStrategy and Power BI.

Lacking a data dictionary, the platform allows you to manage source metadata within your projects. This could be why some reviews wished for greater versatility in data modeling.

Many users who reviewed visualization appreciated the platform for its rich graphics libraries and templates, and I agree. In our analysis, SAP Analytics Cloud earned a score of 100 for dashboarding and data visualization. In this aspect, it leaves behind stalwarts like Power BI and Oracle Analytics Cloud. Reviewing functionality, most people liked its versatility and scalability.  

Its predictive and augmented analysis capabilities had many fans among reviewers, with most praising the platform for strong planning and business analytics. Our analysts give SAP Analytics a 93 score for reporting insights, alerts, auto-scheduling and natural language results.

As an example, Juniper Networks, an AI-driven networking platform, eliminated 100% of its manual planning, budgeting and forecasting in Excel by moving to data modeling in SAP Analytics Cloud.

But quite a few people said there’s scope for improvement in live data analytics. Around 85% of reviewers discussing performance said it struggles at the enterprise level and when offline, though quite a few noted that it performs exceedingly well within the SAP ecosystem.

Overall, SAP Analytics Cloud is for organizations already locked into the SAP ecosystem, especially if you’re looking for a financial planning and consolidation tool. If you’re looking for a BI and predictive analytics tool, there are better options.

Key Features

  • Accessible Dashboards: SAP Analytics supports screen readers, speech recognition, color contrast and alternative text for images to help meet accessibility standards such as WCAG 2.1.
  • Smart Predict: Forecast events using SAP’s machine learning algorithms on your data. Predict whether a customer will buy a product, and anticipate order value, sales figures and campaign impact with classification, regression and time-series analysis.
  • Conversational Insights: Click on Just Ask on the toolbar, pick a model, add it to your session and type your question using the available data. SAP Analytics auto-completes your queries and suggests questions for further analysis.
  • Augmented Data Prep: Automatically identifies metrics, dimensions, dates, locations and hierarchies. SAP Analytics uses statistics and heuristics to assign data types, then links related tables with Auto Data Joins.
  • Key Driver Analysis: Spot the key drivers of critical metrics and understand variances and correlations with Smart Insights. Take corrective action by identifying outliers, thanks to Smart Discovery.

See It In Action

I decided to take it for a test drive for you; there’s a 30-day trial, which should give your teams ample time to check it out.

A free SAC trial includes access to SAP Datasphere, previously called SAP Data Warehouse. However, their tutorials were glitchy, and I had to resort to YouTube videos. SAP Datasphere has an AI Assistant, which failed to launch tutorials when prompted.

Stories are the staple of SAC, but toggling between the story and data views wasn't intuitive. Data workers might find the learning curve short; however, newbies can find it confusing initially. Plus, moving widgets to reorganize the workspace should be straightforward, but it isn’t.

As a tribute to financial planning, its primary offering, SAC offers a special dimension called Account for defining metrics such as revenue, gross profit, operating expenses and cost of sold goods.

Besides CSV and Excel, you can import Google Sheets data as well, though it’ll require authorization from your Google Suite administrator.

SAC Datasets

You can download stories as PDF and PowerPoint files and bookmark filters, input controls, prompts and views. Conditional formatting and smart insights will save you time by surfacing relevant information when you need it.

The Just Ask feature launched in the Q1 2024 release sounds promising. Grouped filters are a new user-friendly feature in the Q4 2024 release, which should make user searches quicker.

SAP Just Ask Feature

With SAC, the vendor has prioritized advanced features for planning and financial analysis, but interface navigation needs improvement.

Limitations

Some of the product limitations include:

  • Doesn’t offer built-in statistical functions for financial market analysis.
  • Lacks automated data model deployment and monitoring capabilities.
  • Doesn’t support voice-based NLP.

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About the Contributors

The following expert team members are responsible for creating, reviewing, and fact checking the accuracy of this content.

Written by
Ritinder Kaur
Senior Technical Content Writer
 
Ritinder Kaur is a Senior Technical Content Writer at SelectHub and has ten years of experience writing about B2B software and quality assurance. She has a Masters degree in English language and literature and writes about Business Intelligence and Data Science. Her articles on software testing have been published on Stickyminds.
Edited by
Dianna Dragonetti
Content Editor
 
As an editor, Dianna Dragonetti leads a team of five writers in writing about a variety of software, with an emphasis on how these tools empower businesses. Categories include accounting, learning management systems, content management systems, supply chain management, and electronic data interchange.
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