What is SAP Analytics Cloud(SAC)?
SAP Analytics Cloud (SAC) is the cloud-based analytics solution provided by SAP. It is the integration of analytics and planning, with SAP applications to ensure smooth data access. SAP Analytics Cloud (SAC) enables organizations to perform data analysis, create visualizations, and generate reports in a collaborative and cloud-based environment.
In short SAP Analytics Cloud is a combination of business intelligence (BI), Enterprise planning, and predictive analytics.
SAP Analytics Cloud provides multiple scenarios for analysis to decision-makers. Based on these analyses, they can generate plans and improve business outcomes. It maximizes the value of SAP data by integrating analytics into the decision-making process.
Some important features of SAP Analytics Cloud are as follows:
Software-as-a-Service:
SAP Analytics Cloud is a Software-as-a-Service (SaaS) solution. This cloud-based model allows users to access SAP Analytics Cloud over the internet. There is no need to install and maintain the software on-premises, as everything is managed and updated by SAP.
Smooth Data Connectivity:
SAP Analytics Cloud offers smooth connectivity to a wide range of data sources such as SAP systems, databases, cloud storage platforms, and third-party applications. This allows users to bring together data from multiple sources for analysis and reporting purposes.
Data Modeling and Transformation:
SAP Analytics Cloud (SAC) offers powerful data modelling and transformation tools. It enables users to perform data modelling tasks such as creating calculated measures, defining hierarchies, and applying advanced data transformations. It also provides functionalities for data blending, data cleansing, and data enrichment.
These capabilities enable users to shape and prepare their data to meet specific analysis requirements. This feature can ensure the users that their data is well structured, organized, and ready for in-depth analysis within the platform.
Visualization and Reporting:
SAP Analytics Cloud (SAC) offers wide range of visualization options. It includes various chart types, graphs, tables and other visual elements. These visualizations can be customized and formatted to suit specific reporting needs.
Users can create interactive dashboards and reports in SAP Analytics Cloud (SAC), combining multiple visualizations and data components to provide a comprehensive view of the analyzed data. They can also apply filters, drill-down functionality, and advanced calculations to explore data in more depth. SAP Analytics Cloud(SAC) facilitates dynamic and real-time reporting, allowing users to refresh and update their reports with the latest data.
SAP Analytics Cloud's visualization and reporting capabilities enable users to effectively present and communicate insights from their data, facilitating data-driven decision-making within organizations.
Advanced Analytic capabilities:
SAP Analytics Cloud offers advanced analytic capabilities, such as predictive forecasting, machine learning algorithms, and smart insights. These powerful features enable users to unveil patterns, trends, and predictive insights from their data.
Sharing of analytical content:
Users can easily share analytic content, dashboards, reports, and data stories with others, facilitating real-time collaboration and offering controlled access to stakeholders.
Planning and Budgeting:
The planning and budgeting feature of SAP Analytics Cloud enables users to create planning models, define workflows, perform what-if analysis, and collaborate on budgeting and forecasting processes.
Mobile Access of analytical content:
SAP Analytics Cloud provides users with the flexibility to access analytics content on smartphones and tablets.
Summary:
SAP Analytics Cloud provide an augmented analytics platform that combines data integration, data modeling, visualization, advanced analytics, and collaboration capabilities into a single solution.
In short SAP Analytics Cloud is the combination of business intelligence and enterprise planning enhanced with the capabilities of artificial intelligence, machine learning technology, and predictive analytics which helps in making data reports.