SAC - Driving 360 degree Analytical need of Industry
Updated December 22, 2023

SAC - Driving 360 degree Analytical need of Industry

Shivram Dhiresh Parijatam | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User

Overall Satisfaction with SAP Analytics Cloud

SAP Analytics is currently used across all departments (finance/HR/sales) of client I support. We have designed various stories and applications as well on sales/finance/HR data showcasing different KPIs, Top N contributors, Geo-Map data points. There is not much additional work needed as the same story can easily be seen using mobile or tabs by business users. Business users loved the smart capabilities of SAC wherein they type any query in Natural Languages and it produces relevant graphs to users.

Recently I have done POC on HR data for them to identity probable employees who could leave organization. The POC went well so we are asked to implement the same. I used built classification-in for addressing Attrition problem which resulted in 83% accuracy. Client has asked us to do a POC using regression if we can predict number of copies to be printed considering various factors like historical data (sports event/elections/or other catastrophic events).

Suggestion:
However I feel SAC can be more effective if more modelling capabilities are provided. Integration with R is good but SAP should think of Python integration as well, reason being Python is more user friendly and capable of doing all what R does.
  • Natural language processing.
  • Geo-spatial enrichment.
  • Support to mobile/tabs.
  • Easy user interface.
  • Prediction capabilities.
  • R integration.
  • Application building.
  • Dashboarding.
  • Complete descriptive statistics about business using stories.
  • Modelling capabilities.
  • Python integration should be included.
  • Model rebuilding losses all data validations/transformation and too much of rework.
  • Superb.
  • Big returns.
  • Application/dashboards/planning/prediction in single tool.
Single tool to have all built in capabilities of reporting, planning & prediction. Ease of usage to business users as no need to sign in on different tools for different kind of analytics. Easy integration with SAP Source systems for importing data. Natural Language Querying makes it more apt for business where in reports are to be presenting soon and user can present using mobile as well.

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

1. Only tool with all three type of analytics wherein one can plan, predictive and check existing descriptive reports to understand status quo of business.
2. With handy prediction capabilities it has provided consultant ability to do predictive analytics without knowing technical know-how of working of backend algorithms. In case someone is well groomed in R, SAC provides integration.
1. SAC is the only product available in market with all three capabilities of planning, business intelligence & predictive analytics.
2. Development of stories can easily be seen on desktop/laptop/tabs & mobile. The widgets/stories can easily be consumed in web using APIs.
3.User friendly predictive capabilities which does not require much knowledge.
4. R integrations for very complex algorithms and appealing visuals.
5.Natural language querying supported, which makes it easy to use and search if someone forgets technical name of stories.
6. Smart insight feature presents with influencers for a KPI in question, along with correlation plots with different variables making bivariate analysis easy. It also present us Top N/ Bottom N scenarios without much fuss.
For an organization spread across globe SAC comes in handy as it has capabilities to represent data of all countries on Global Map using Geo-Spatial points. Even business users can drill down to the lowest possible level maintained in hierarchal structure. SAC has built-in capabilities for currency translation which further enriches two show data in single global currency for ease of comparative analysis for different regions.
SAC is very well suited for planning budget & forecast scenarios for companies' financial needs. SAC is the only tool having all three different type of Analytics i.e. Descriptive, Predictive & Prescriptive analysis. SAC has an inbuilt R Server and also supports R integration with external server for more of predictive analysis and superb visuals. The same story can be seen in desktop, laptop including mobiles & tab so no extra work for getting reports on mobile except for API integration. SAC supports importing data from non-SAP environments and provides seamless live connectivity to SAP HANA cloud systems.

SAC will not be that useful where more of operation reporting is required though it is capable of providing Excel-like interface with similar functionalities.

SAP Analytics Cloud Feature Ratings

Long-term financial planning
9
Financial budgeting
9
Forecasting
9
Scenario modeling
8
Management reporting
10
Financial data consolidation
9
Journal entries and reports
9
Multi-currency management
10
Intercompany Eliminations
10
Minority Ownership
9
Local and consolidated reporting
10
Detailed Audit Trails
9
Financial Statement Reporting
9
Management Reporting
10
Excel-based Reporting
9
Automated board and financial reporting
9
XBRL support for regulatory filing
8
Personalized dashboards
9
Color-coded scorecards
10
KPIs
10
Cost and profitability analysis
9
Key Performance Indicator setting
10
Benchmarking with external data
9
Flat file integration
10
Excel data integration
10
Direct links to 3rd-party data sources
10
Pixel Perfect reports
10
Customizable dashboards
10
Report Formatting Templates
10
Drill-down analysis
10
Formatting capabilities
10
Integration with R or other statistical packages
8
Report sharing and collaboration
10
Publish to Web
10
Publish to PDF
10
Report Versioning
10
Report Delivery Scheduling
10
Pre-built visualization formats (heatmaps, scatter plots etc.)
10
Location Analytics / Geographic Visualization
10
Predictive Analytics
8
Multi-User Support (named login)
10
Role-Based Security Model
10
Multiple Access Permission Levels (Create, Read, Delete)
10
Single Sign-On (SSO)
10
Responsive Design for Web Access
10
Mobile Application
10
Dashboard / Report / Visualization Interactivity on Mobile
10