In this blog post, we’ll present an end-to-end implementation method for predictive analytics in SAP Analytics Cloud.
Business Intelligence
When the DTP is executed in SAP S/4HANA, it creates a request for extraction and is sent to the source system—S4SCLNT100 in our case.
Companies are generating gigabytes of data per second, but can they actually use it all?
SAP Analytics Cloud was first released in November 2015 (under the name SAP Cloud for Analytics, then later SAP BusinessObjects Cloud).
The first step of creating an efficient model in SAP Analytics Cloud is to choose the right model for the use case.
In this blog post, we’ll explore a use case for using the Purchasing Spend Dashboard app in SAP Analytics Cloud in your SAP S/4HANA reporting.
In this blog post, we will look at general settings that might improve performance in SAP Analytics Cloud.
If you need to extract data from SAP S/4HANA or SAP ERP, then you need to create an ODP_SAP-based source system. To do so, follow these steps.
When it comes to performance, SAP Analytics Cloud users aim to create an improved experience for viewing and interacting with dashboards.
Once you’ve defined the values for a prompt in SAP Analysis for Microsoft Office, you can save these values as a variant, as shown in this figure.