The favorite features of SAP Analytics Cloud (SAC): Heide's Top 10

Introduction

SAP Analytics Cloud (SAC) is a powerful cloud-based solution for business intelligence, planning, and analysis. It offers companies the opportunity to comprehensively analyze data and make informed decisions. In this article, we will introduce the best features of SAC and show how they can be used effectively.

The most important SAP Analytics Cloud (SAC) Features

SAC offers a variety of functions that make it an indispensable tool for modern companies.

Feature 1: Calculations at the push of a button (Data Actions and Multi Actions)

With Data Actions or Multi Actions, you can apply complex calculations and transformations to your data without having to resort to external tools or scripts. This feature allows you to manipulate and analyze data directly in the SAC. By easily applying calculations, users can quickly and efficiently gain in-depth insights.

Feature 2: The cascading filter

Cascading filters are a great way to make reports and dashboards interactive. They adapt dynamically as users select more filters. This makes data exploration easier and allows users to customize views to their specific needs. This allows different data perspectives to be viewed quickly and easily.

Feature 3: Calendar process and automated planning functions

SAC allows users to define calendar processes to control automated planning tasks. You can set schedules for data updates, report publications, and other recurring tasks. In addition, you can use automated planning functions to create budgets, forecasts, and scenarios. This simplifies the management and optimization of business processes.

Feature 4: Creation of master data

Master data is crucial for analysis and planning. In SAC, you can create and manage custom master data models that are stored in the cloud. This ensures easy updating and use of master data, improving data consistency and accuracy across all analyses and plans.

Feature 5: Version management

Version management allows you to save and compare different versions of reports, dashboards, and planning scenarios. This feature makes it easier to track changes and ensures that you are always working with current data. This allows users to better understand and document different scenarios and developments.

Feature 6: Diverse visualization options

SAC offers a wide range of visualization options, including various chart types (bar, line, pie charts, etc.), GeoMaps for the geographical representation of data, and table views. Users can select the appropriate visualization for their data to present complex information clearly and understandably.

Feature 7: Collaboration options with comments and chats

In SAC, users can add comments to reports and dashboards, promoting collaboration and knowledge sharing within the team. The integrated chat allows users to communicate and conduct discussions directly within the application, facilitating teamwork and decision-making.

Feature 8: Authorization concept (partially automated)

The authorization concept in SAC allows administrators to control access to reports, models, and data. It is based on roles, user groups, and hierarchies. Some authorizations can be assigned automatically to reduce administrative effort. This ensures that only authorized users have access to sensitive data.

Feature 9: Bookmarks

In SAC, users can create bookmarks to save specific views, filter settings, and visualizations. These bookmarks allow you to quickly return to relevant reports or dashboards without having to manually adjust the filters each time. You can also share bookmarks with other users to share common views.

Feature 10: Augmented Analytics and Artificial Intelligence (AI)

The integration of AI into the SAP Analytics Cloud is revolutionizing data analysis and opening up new possibilities for companies.

• Predictive Analytics: Machine learning algorithms enable analyses to predict future trends and developments. Companies can react proactively and make informed decisions.
• Automated data modeling: AI technologies automatically create and optimize data models by recognizing patterns in the data and suggesting the best models for specific requirements.
• Natural Language Processing (NLP): Through the integration of NLP, users can use natural language to formulate complex queries and gain insights from the data. This function is known as "Just Ask" or "Search to Insight".

• Automatic anomaly detection: AI algorithms automatically identify anomalies in the data that indicate unexpected patterns or deviations.

 Conclusion

SAP Analytics Cloud offers numerous powerful features that support companies in making data-driven decisions and optimizing their business processes. From calculations at the touch of a button and cascading filters to extensive visualization options and collaboration functions, SAC offers companies an effective way to analyze data and plan.