SAP Analytics Cloud Reviews

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196 Ratings
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Score 8.2 out of 101

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Reviews (1-25 of 64)

Juan Carlos Crespo profile photo
Score 10 out of 10
Vetted Review
Verified User
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As it has been released as a Beta version in the past days, I have not the chance to evaluate them together. Both products look pretty similar. I would like to use it more to see what are the main differences.
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Radouane Sbaa profile photo
Score 9 out of 10
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Reseller
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SAC BI Reporting is affordable, especially for companies with a limited IT budget. It is "easy" to integrate it with the ERP.
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Andreu Piqueras profile photo
Score 7 out of 10
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SAC is better at performance when the data source is bigger and the volume of data is high. That is thanks to live connectivity. SAC is offering a planning version and more functionalities. SAC is offering a lot more business content in the library.
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Alex Gutierrez profile photo
Score 8 out of 10
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Verified User
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Alternatives Considered

For me, they are quite at the same in general terms (in terms of visualization and design). Power BI is better than SAC when it comes to maturity and integration with Microsoft softwares (Excel, PowerPoint, Azure, ...) SAC is better than Power BI in terms of connectivity to SAP sources, and in Advanced Analytics and Data insights.
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Eric Halbur profile photo
September 26, 2019

SAP Analytics Review

Score 10 out of 10
Vetted Review
Verified User
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Alternatives Considered

SAP seems to be giving its highest focus to SAC over the Lumira suite, so we think it’s likely a better path for us to go down as we were not entrenched with other tools. SAC performance during design and consume time seems much better than our experience with Lumira.
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Niranjan Deshpande profile photo
November 14, 2019

SAC Review

Score 6 out of 10
Vetted Review
Verified User
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We are system integrator partner. Customers select or evaluate business intelligence tools. We work with customers to perform proof of concept or we come with a point of view on SAC. The product is relatively new in market. With SAP ecosystem and integration capability it's good to evaluate the SAC capability and its integration with SAP Business Objects.
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Javid Qureshi profile photo
Score 9 out of 10
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For example, if you wanted to understand which of your customers would respond to a marketing offer, you would need to have a response yes/no column in your dataset. This column is known as your target variable and it represents the outcome you’re trying to predict. Once you’ve selected your historical data and target variable, Smart Predict takes care of the rest.

Once your model is created, you’ll be presented with a model debrief with key information on the model accuracy, applicability to new data, key drivers, and more. At this point, you can use this version of your model to determine your predictions or make a copy and experiment by tweaking the model to drive better accuracy and/or stability.

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Karima Zahrir profile photo
September 24, 2019

SAC Review

Score 9 out of 10
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The smart insight and smart discovery features were a big seller in addition to the predictive scenarios. In addition to that, the fact that users can write their own stories and build their own PPTs is great.
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No photo available
Score 9 out of 10
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Verified User
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Alternatives Considered

In my opinion, if your company uses most of SAP ecosystem, it is better to choose an analytical tool from SAP such as the Analytics Cloud. It will provide seamless integration with the ERP as well as a clear evolution from our BO.
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No photo available
Score 8 out of 10
Vetted Review
Verified User
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Alternatives Considered

Qlik Sense is too expensive, much more complicated to use for users (especially new variables or other complex calculations) and requires you to buy too many extra functionalities to have the same options as SAP Analytics Cloud can offer.

Microsoft Power BI is much cheaper and has very powerful functionality, the only problem is when your corporate data universe is SAP, you need to work much more in the connection between both systems.
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No photo available
Score 8 out of 10
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Verified User
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Alternatives Considered

SAP Analytics Cloud - being a cloud offering does not require any infrastructure for development of the reports and dashboards and doesn't depend on the back-end system availability for preparing a prototype. Since there is already a lot of pre-built content available, it offers a great way to look at the features and can help decide accordingly what is suited for you as per your requirement. These features are not readily available for the other mentioned on-premise platforms.
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Feature Scorecard Summary

Pixel Perfect reports (47)
7.5
Customizable dashboards (57)
8.2
Report Formatting Templates (53)
7.5
Drill-down analysis (60)
8.2
Formatting capabilities (59)
8.0
Integration with R or other statistical packages (43)
7.4
Report sharing and collaboration (56)
8.3
Publish to Web (50)
8.1
Publish to PDF (52)
7.7
Report Versioning (43)
7.1
Report Delivery Scheduling (33)
7.7
Pre-built visualization formats (heatmaps, scatter plots etc.) (60)
8.0
Location Analytics / Geographic Visualization (57)
7.8
Predictive Analytics (58)
7.6
Multi-User Support (named login) (59)
8.2
Role-Based Security Model (59)
7.7
Multiple Access Permission Levels (Create, Read, Delete) (56)
7.8
Single Sign-On (SSO) (58)
8.2
Responsive Design for Web Access (50)
7.7
Dedicated iOS Application (40)
7.6
Dedicated Android Application (28)
6.6
Dashboard / Report / Visualization Interactivity on Mobile (48)
7.7
Long-term financial planning (53)
7.2
Financial budgeting (51)
7.3
Forecasting (55)
7.4
Scenario modeling (56)
7.4
Management reporting (62)
8.4
Financial data consolidation (30)
7.5
Journal entries and reports (31)
7.2
Multi-currency management (37)
7.1
Intercompany Eliminations (24)
7.3
Minority Ownership (23)
7.0
Local and consolidated reporting (35)
7.7
Detailed Audit Trails (28)
7.1
Financial Statement Reporting (42)
7.6
Management Reporting (55)
8.1
Excel-based Reporting (50)
7.2
Automated board and financial reporting (47)
7.4
XBRL support for regulatory filing (16)
7.3
Personalized dashboards (71)
8.7
Color-coded scorecards (64)
8.3
KPIs (69)
8.6
Cost and profitability analysis (62)
8.1
Key Performance Indicator setting (65)
8.3
Benchmarking with external data (48)
7.9
Flat file integration (65)
8.1
Excel data integration (63)
8.2
Direct links to 3rd-party data sources (57)
7.2

About SAP Analytics Cloud

SAP Analytics Cloud combines planning, business intelligence, and predictive analytics as a unified cloud-based platform allowing visualization, planning and prediction to be performed within a single tool. It is built on top of the very fast SAP Cloud Platform, and integrates natively with on-premise applications and data.

The platform provides data connectors to a wide range of data sources, including SAP Business Warehouse, SAP Business Planning and Consolidation, SAP BusinessObjects BI Platform, SAP SuccessFactors, Salesforce, and other sources. Visualization capabilities are enriched by geo-enriched data, and the SAP HANA engine contains an in-memory calculation engine to perform numerous calculations in real-time.

SAP Analytics Cloud Video

Unify business insights with SAP Analytics Cloud.

Pricing

Has featureFree Trial Available?Yes
Does not have featureFree or Freemium Version Available?No
Does not have featurePremium Consulting/Integration Services Available?No
Entry-level set up fee?No
EditionPricing DetailsTerms
Business$21per user, per seat
EnterpriseCustomUnlimited users

SAP Analytics Cloud Support Options

 Free VersionPaid Version
Phone
Live Chat
Email
Forum/Community
FAQ/Knowledgebase
Social Media
Video Tutorials / Webinar
Customer Success Coach

SAP Analytics Cloud Technical Details

Deployment Types:SaaS
Operating Systems: Unspecified
Mobile Application:Apple iOS
Supported Languages: Czech, English, French, German, Italian, Polish, Portuguese, Russian, Spanish, Simplified Chinese, Traditional Chinese, Japanese, and Korean.