Setting up the ideal connection type is one of the most complex and important aspects of SAP Analytics Cloud configuration. As we already know, SAP Analytics Cloud is hosted on SAP’s data centers, but customers can still choose the data center from where the cloud is to be acquired.
While this is one of the most basic steps involved in configuring SAP Analytics Cloud, there are still numerous queries and doubts raised by businesses about determining the ideal connection types. Therefore, we are going to take an extensive look into different connection types of SAP Analytics Cloud.
SAP Analytics Cloud, also known as SAP SAC, is one of the most prominent offerings from SAP. This Software-as-a-Solution (SaaS) is equipped with business intelligence capabilities that enable organizations to generate valuable analytics for making better decisions.
These analytics generated through SAP Analytics Cloud gives the decision-makers of the business an extensive insight into different things going on within the business. Organizations then leverage these valuable insights to make better-informed decisions to ensure that the business experiences augmented growth without coming across any obstacles.
SAP Analytics Cloud solution enables its user to import data into the system in three different ways that include:
- Import Connection
- Local File
- Live Data Connection
Nonetheless, before we get into the details of these connection types, it is important to mention that one must analyze the component model thoroughly. We recommend so because, in SAP Analytics Cloud, the component depicts the data basis.
Therefore, the connection types that we have mentioned above are also saved as models. In SAP Analytics Cloud, a model is more like a data source for a dashboard as it is responsible for condensing and providing the data. Furthermore, after the creation of the model, one can use it many times in disparate dashboards.
In simple words, a connection that is imported from the system can be called a data import connection. This can be anything from a HANA calculation view or even a Bex query from any SAP system that is restricted to specified variables or filters, dimensions, or even crucial figures. Enterprises can leverage this type of connection to establish a connection between different types of data sources that are not ready for model.
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Furthermore, this type of connection can also improve the existing competencies of SAP Analytics Cloud, such as Smart Assist and SAP Analytics Cloud planning. People often tend to get confused with the process of loading current data into the model. However, we need to understand that every model is equipped with a data management functionality that can schedule usual updates. This enables businesses to import jobs by just pushing a simple button seamlessly.
The local file is basically any Excel or CSV file that can be imported into the SAP Analytics Clouds solution. Enterprises can leverage this type of connection whenever there is a requirement for visualizing data at short notice, as integration into some other system such as SAP BW can be a very time-consuming process. In addition, any data from any third-party system or even the planning data where no connection is possible further indicate other possibilities.
Additionally, the application case represented here will interest numerous users who belong to the specialist area and lack technical expertise and experience. Therefore, this establishes the possibility of the update function, meaning that enterprises can seamlessly integrate novel data without any hassle. The other noteworthy use case of the local file is for the power users looking to link different models that the IT department creates with a local Excel file and a live data connection. This is possible because the data in SAP Analytics Cloud is stored in the cloud.
The name of this connection makes it evident that we are talking about real-time connection with the system here. After the data is acquired directly right from the system, one can filter the variables right at the beginning in an attempt to minimize the data that is to be transmitted.
However, the performance of this connection is very much dependent on the performance of the query. For instance, when someone is using an SAP BEx query, then the performance of the connection can be influenced by adjusting different key figures, calling the query, filtering the query, or even adjusting the dimensions. These sorts of queries can require a lot of time to load effectively.
Furthermore, any alterations made within the data basis can have an immediate and direct effect on the data displayed on the dashboard caused by these types of connections. Lastly, it is important to note that no data leaves the corporate network of the enterprise when using a live data connection as the system only exchanges mete data with the cloud.
Choosing the right connection type with SAP Analytics Cloud is imperative to ensure that the data is imported and shared with the utmost efficiency and accuracy. However, different organizations, as well as the departments within them, have different requirements. Therefore, we recommend our clients evaluate their requirements before choosing any connection type. Furthermore, if there are any further queries about the connection types in SAP Analytics Cloud, always feel free to contact our SAP consulting company. Our executives are always there to sort out any SAP-related query you have in your organization.
Eric Smith is an SAP professional providing a wide range of SAP consulting services to his clients. With a knack for technology, he loves to write on the latest SAP developments and share his knowledge with the readers.