Informational

Objective

After completing this lesson, you will be able to provide an overview of the use case of the guided workbook.

Overview

In this workbook, we will build an end-to-end integrated planning application with SAP Datasphere and SAP Analytics Cloud using the bi-directional data transfer between the two solutions. Besides the data transfer, the session covers data modeling, including the data marketplace in SAP Datasphere, as well as the creation of a planning model with predictive analytics and the respective front end for data entry.

Use Case

Energy prices are increasing continuously. Companies are worried about the direct impact on their results and cash flow. Therefore, we want to create an automated liquidity forecast with SAP Analytics Cloud’s predictive analytics capabilities on top of internal financial and external data from SAP Datasphere.

To do so, we look for external data on energy prices in the Data Marketplace within SAP Datasphere. We add this data to our internal cash flow statement actuals and load it to SAP Analytics Cloud to serve as the basis for our new liquidity forecast.

Requirements

The requirements to follow the different units of this workbook are:

  • SAP SAC tenant

  • SAP Datasphere tenant

The Introduction explains the architecture of the lessons and provides information regarding each of the components.

The remaining lessons each contain a link to an offline guided tour at the beginning, you can access this to do walkthrough the content on a chapter-by-chapter basis, or you can go through the workbook steps in your own time (on your own system).

Important Note

This content is

Learn More

To learn more about SAP Analytics Cloud, refer to the following sources of information:

To learn more about SAP Datasphere, refer to the following sources of information:

To learn more about the bi-directional integration between SAP Analytics Cloud and SAP Datasphere for planning, refer to these sources of information:

Summary

You have reviewed the relevant informational topics available and can now move on next lesson.

Overview

In this workbook, we will build an end-to-end integrated planning application with SAP Datasphere and SAP Analytics Cloud using the bi-directional data transfer between the two solutions. Besides the data transfer, the session covers data modeling, including the data marketplace in SAP Datasphere, as well as the creation of a planning model with predictive analytics and the respective front end for data entry.

Use Case

Energy prices are increasing continuously. Companies are worried about the direct impact on their results and cash flow. Therefore, we want to create an automated liquidity forecast with SAP Analytics Cloud’s predictive analytics capabilities on top of internal financial and external data from SAP Datasphere.

To do so, we look for external data on energy prices in the Data Marketplace within SAP Datasphere. We add this data to our internal cash flow statement actuals and load it to SAP Analytics Cloud to serve as the basis for our new liquidity forecast.

Requirements

The requirements to follow the different units of this workbook are:

  • SAP SAC tenant

  • SAP Datasphere tenant

The Introduction explains the architecture of the lessons and provides information regarding each of the components.

The remaining lessons each contain a link to an offline guided tour at the beginning, you can access this to do walkthrough the content on a chapter-by-chapter basis, or you can go through the workbook steps in your own time (on your own system).

Important Note

This content is

Learn More

To learn more about SAP Analytics Cloud, refer to the following sources of information:

To learn more about SAP Datasphere, refer to the following sources of information:

To learn more about the bi-directional integration between SAP Analytics Cloud and SAP Datasphere for planning, refer to these sources of information:

Summary

You have reviewed the relevant informational topics available and can now move on next lesson.