The cloud data visualization tool from SAP is called SAP Analytics Cloud (SAC). Business Intelligence (BI), planning, and augmented analytic make up its three key components. In SAC, especially in light of how it ties into SAP’s plan to use clouded business intelligence. Let’s examine its features in more detail.
Cloud-based SAP Analytics for Business Intelligence
Business intelligence comprises the following and is standard in SAP Analytics Cloud:
- Data gathering;
- Data modelling (including the addition of formulas, indications, etc.); and
We will mostly concentrate on data gathering techniques and data visualization because modelling is optional in data analysis.
To show data, SAP Analytics Cloud provides a variety of connection types. Data can be restored using a live, direct connection to the SAP system or loaded into the cloud server.
Data on the cloud server is accessible using import type connections. When using the dashboard, this will eliminate duplicate data and give quick access. Nevertheless, depending on the data model, storage space is constrained (100 columns; 800,000–1,000,000 lines).
The 21 import techniques offered by SAP Analytics Cloud are listed below:
- SAP SuccessFactors Workforce Analytics
- SAP Business ByDesign Analytics
- SAP Cloud for Customer Analytics
- SAP Integrated Business Planning
- SAP BW (Including BW/4HANA)
- SAP Cloud for Customer
- Salesforce Connector
- SAP SuccessFactors
- Google BigQuery
- OData Services
- SAP Fieldglass
- SAP SAP ERP
- SAP S/4HANA
- SAP Universe
- Google Drive
- SQL Database
- File Server
- Dow Jones
- SAP HANA
- SAP BPC
Particularly for SAP on-premise and cloud-based software systems, there are numerous import techniques. Similar to other SAP ERP and SAP BW systems, S/4HANA is offered in both edition types.
Applications like Google Drive and Google BigQuery make it feasible to connect to external environments, such as those of Google. For instance, SAC allows for the retrieval, extraction, and formatting of data from Google Sheets files. Flat files in the formats of CSV, XLSX, or TXT can also be imported. Data can be updated manually or by scheduling at any time (every hour, day, week or month).
Real-time data recovery and content access are made possible without duplication in a cloud system by establishing a direct connection between an external SAP system and SAP Analytics Cloud. Contrary to direct import techniques, there aren’t many native live connection kinds, despite them serving the majority of user needs.
Connect to live data
Only SAP systems are made available in this situation. To guarantee data security and confidentiality, this calls for specialized setup (reverse proxy) while setting up connections.
Modes of Visualization
Tables, graphical elements, and diverse shapes can all be used to visualize data. Widgets, picture files, RSS feeds, and other interactive content integration tools are simple to use.
Reports on Data
Quickly building full dashboards with SAP Analytics Cloud can aid in decision-making. KPIs, spreadsheets, diagrams (bar diagrams, waterfall charts, donut charts, etc.), geomaps, and a variety of other formats are just a few of the ways the application presents data.
When reports are finished being created, graphic components can be removed and sent via email automation in the formats of PDF, Google Slides, and eventually Microsoft PowerPoint. You can export the produced tables’ data in CSV or XLSX.
Users can create their own analytical apps to meet complex demands. Analytical apps, just introduced on SAC, offer a novel, mobile-like navigation experience.
Analytical apps resemble reports that have been improved by script commands and can be utilised to satisfy certain usage requirements. Through onclick and onselect events, script commands enable interaction with report content. By concealing or revealing particular schematics, we can also compute values and create an interaction.
Cloud-based SAP Analytics for Planning
Different budget versions can be created using SAP Analytics Cloud for planning, depending on the company’s goals and trends. The displayed versions of these budgets are editable tables where information can be entered to as closely balance the figures as feasible.
Budgets from SAP ERP may be imported, several budget versions can be managed, and budgets can be instantly compared, for example with a timing diagram. As was already mentioned, the fact that data exchange with SAP BPC is a native function simplifies the process of importing and exporting data between SAC and BPC.
Analytics Augmented with SAP Analytics Cloud
Predictive Scenarios are enhanced predictive analytic features that SAP makes available in addition to smart features in BI mode. On data sets based on a source file, they enable the application of statistical models.
Three different predictive scenario types are provided by SAP Analytics Cloud:
- Classification: providing a binary response with a percentage of probability;
- Regression, which uses dependent variables to forecast a numerical value and displays the outcomes;
- Using time series, one may forecast a number based on the variations of dependent and independent variables in the past.
After choosing the desired scenario, the user can select a previous file containing “training” data that the algorithm will use to memorize behavior similarities.
Once the predictive analysis tool is trained, the user can apply predictive scenarios on the file containing the current data.
The findings can then be seen using “time series” diagrams in a matter of clicks. SAP provides default scenarios like “Linear Regression” and “Automatic Forecast” for non-specialists.
SAP Analytics Cloud – Other Features
- Digital Boardroom
- Activation of Standard Reports
- Smart Discovery
- Use with MS Office
Through its numerous data collecting features, SAP Analytics Cloud makes it simple to integrate into a variety of information systems, not just those that depend on the SAP suite. SAC’s amazing versatility is a result of its many data visualization tools, which are reinforced with the ability to create analytical apps.
SAP Analytics Cloud, in which the company has recently expended significant efforts, became a popular option by introducing enhanced analytics and planning features compatible with instruments like SAP BPC. The visualization feature is gradually added to other SAP Cloud apps to reflect this.
For all needs with regard to data visualization with SAP products, SAP Analytics Cloud is a crucial option. For good reason, it is primarily employed with cloud-based solutions because it is gradually being integrated into most of those tools.
SAP thus keeps developing SAP Analytics Cloud. It may very well turn into a crucial business intelligence tool for SAP. Moreover, why not a substitute for non-SAP systems?
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