SAC Accelerating Business Intelligence and Collaboration
Updated November 27, 2023

SAC Accelerating Business Intelligence and Collaboration

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

Overall Satisfaction with SAP Analytics Cloud

SAP Analytics Cloud (SAC) plays a pivotal role in optimizing our operations and delivering value to our portfolio of startups. The platform is instrumental in addressing several key business challenges and aligns with our broader goals of fostering growth and innovation.

It enables us to track key performance indicators (KPIs) for each startup in our portfolio. This includes monitoring metrics related to customer acquisition, revenue growth, and operational efficiency. The real-time analytics provided by SAC empower us to gauge the success of each startup and identify areas for improvement.
  • Portfolio Health Analysis
  • Performance Tracking and KPI Monitoring
  • Resource Allocation and Planning
  • Complexity in Data Modeling
  • SAC supports various data sources, but improvements in the ease of connecting to and integrating with certain data repositories, especially non-SAP databases, would enhance the platform's versatility and integration capabilities.
  • An offline mode for SAC could be valuable for users who need to access and analyze data without an internet connection. Additionally, optimizing performance for large datasets and complex visualizations would contribute to a smoother user experience.
  • Optimized our budgeting and forecasting processes. The platform facilitates real-time collaboration among our teams, allowing for more accurate and agile financial planning. This has led to improved precision in budget allocation, ensuring that resources are strategically deployed to support the most promising startups within our portfolio.
  • SAC's intuitive dashboards and visualizations provide a consolidated view of key performance indicators, startup health metrics, and portfolio analytics. This heightened data visibility enables our teams to make informed decisions promptly, identify emerging trends, and proactively address challenges.
  • Routine tasks, such as performance tracking and reporting, are automated, allowing our teams to focus on more strategic initiatives. This has resulted in time savings and increased productivity across various operational processes.
SAP Analytics Cloud (SAC) is generally considered user-friendly, particularly for those familiar with SAP's ecosystem. The platform incorporates modern design principles and offers a range of features for analytics and reporting. However, usability can vary based on user expertise and specific use cases.

The platform's strengths include its intuitive interface, drag-and-drop functionality, and the ability to create compelling visualizations. However, areas for improvement may include the complexity of certain advanced features and the learning curve associated with more intricate data modeling.
  • Cloud Solutions
  • Scalability
  • Ease of Use
The need for a platform that could be easily adopted by teams across various functions, including those without extensive technical backgrounds, was paramount. SAC's intuitive interface, drag-and-drop functionality, and user-friendly design made it accessible to a broad range of users within our organization.

The emphasis on ease of use meant that our teams could quickly adapt to SAC, minimizing the learning curve and accelerating the integration of data-driven decision-making into our operational processes. The platform's simplicity in creating interactive dashboards and visualizations empowered our teams to derive insights without the need for extensive training.
SAC includes predictive analytics features, allowing users to perform advanced analytics and forecast future trends. This can be a valuable asset for organizations seeking predictive modeling capabilities.

It has an integration with the SAP landscape, seek a unified platform for both BI and planning, and value predictive analytics capabilities. Additionally, the emphasis on collaboration and storytelling enhances communication and decision-making processes.

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?

I wasn't involved with the implementation phase

Would you buy SAP Analytics Cloud again?

Yes

SAP Analytics Cloud (SAC) excels in scenarios where organizations require comprehensive analytics and reporting capabilities across various business functions. For instance, in financial planning and analysis, SAC's robust data modeling and visualization features enable finance teams to create dynamic dashboards, perform scenario analysis, and generate insightful reports for strategic decision-making. Additionally, SAC is well-suited for executive-level reporting, offering intuitive and visually appealing presentations that provide leaders with a consolidated view of key performance indicators. In sales and marketing, SAC's ability to integrate data from multiple sources facilitates in-depth analysis of sales trends, customer behavior, and campaign effectiveness, empowering teams to make data-driven decisions. Moreover, SAC's collaborative features make it suitable for cross-functional teams, fostering communication and knowledge-sharing through interactive data exploration.

SAP Analytics Cloud Feature Ratings

Long-term financial planning
9
Financial budgeting
10
Forecasting
10
Scenario modeling
8
Management reporting
7
Financial data consolidation
8
Journal entries and reports
8
Multi-currency management
Not Rated
Intercompany Eliminations
Not Rated
Minority Ownership
Not Rated
Local and consolidated reporting
8
Detailed Audit Trails
10
Financial Statement Reporting
10
Management Reporting
8
Excel-based Reporting
8
Automated board and financial reporting
9
XBRL support for regulatory filing
Not Rated
Personalized dashboards
9
Color-coded scorecards
10
KPIs
10
Cost and profitability analysis
9
Key Performance Indicator setting
9
Benchmarking with external data
6
Flat file integration
9
Excel data integration
8
Direct links to 3rd-party data sources
6
Pixel Perfect reports
Not Rated
Customizable dashboards
8
Report Formatting Templates
8
Drill-down analysis
Not Rated
Formatting capabilities
8
Integration with R or other statistical packages
Not Rated
Report sharing and collaboration
8
Publish to Web
6
Publish to PDF
7
Report Versioning
10
Report Delivery Scheduling
7
Pre-built visualization formats (heatmaps, scatter plots etc.)
8
Location Analytics / Geographic Visualization
9
Predictive Analytics
9
Pattern Recognition and Data Mining
9
Multi-User Support (named login)
7
Role-Based Security Model
8
Multiple Access Permission Levels (Create, Read, Delete)
8
Report-Level Access Control
7
Single Sign-On (SSO)
8
Responsive Design for Web Access
6
Dashboard / Report / Visualization Interactivity on Mobile
8