Data is everywhere in this era of digital transformation. Terabytes and Petabytes of data gets generated every hour through structured, unstructured and semi-structured data channels. Data driven decision making is the need of the hour where companies can gain proper insights for taking better decisions and getting competitive edge. Data Analysis is beneficial only when it can provide the business insights which are helpful for strategic business decisions.

Now that we have seen how to expose OData services from S/4HANA in my previous blog post,

Exposing master data as ODATA service from S/4 HANA on-premise | SAP Blogs

we will continue to explore more in the area of SAP Data & Analytics. Having said that we can understand that SAP has S/4HANA as the source of data and SAP Analytics Cloud (SAC) to do the analytics.

SAP Analytics Cloud

Creating connection in SAP Analytics Cloud

SAP Analytics Cloud OData Service Connection

OData Service connection from On-premise

Now we will create a story in SAP Analytics Cloud.

Create a New Story in SAC

Create a New Canvas

Now we need to add data for the analytics. We can add data as file upload, data source, or from an existing data set or model.

Add data

Create data set from file

Data

Story (Analytics)

Conclusion: We have seen a very simple illustration for provisioning the data set and performing analytics on the data. SAP Data & Analytics can be highly beneficial if used properly to bring out the business insight from data.

Please read through my other blog posts.

Mapping different domains in SAP Master Data Governance to SAP S/4HANA processes | SAP Blogs

Understanding SAP MDG in a Traditional way | SAP Blogs

Using SAP BTP for Master Data Governance with Fiori Tiles | SAP Blogs

Simple steps to start RISE with SAP S/4HANA Cloud | SAP Blogs

Demystifying One Domain Model w.r.t Master Data Objects | SAP Blogs

Data Journey from SAP MDM to SAP MDG | SAP Blogs

Understanding basics of SAP Master Data Integration and Orchestration