Name: Illustrating a Business Use Case for SAP Business Data Cloud
Uploaded: 2025-5-9
Duration: 231 s
Description: Explore one of the key advantages of SAP Business Data Cloud illustrated in a business scenario in finance.

cleanFiles/BDC100_en-US_learning-sap-com_lsc-prod.zip (MMCP-DROPZONE) - 2025-06-09T09:38:09.000Z

Illustrating a Business Use Case for SAP Business Data Cloud

<div id="content"><p tabindex="0">In this lesson, you will explore a use-case for SAP Business Data Cloud in the area of finance.</p><div class="kalturaVideoLessonWrapper"><div id="1_vund8tht" data-testid="video" class="kalturaVideoLessonContainer" aria-label=""></div></div><p tabindex="0">You now have an idea of a use-case for SAP Business Data Cloud.</p></div>

Business Use Case for SAP Business Data Cloud

Introducing SAP Business Data Cloud

Explore one of the key advantages of SAP Business Data Cloud illustrated in a business scenario in finance.

Illustrating a Business Use Case for SAP Business Data Cloud 

To understand the key advantages of SAP Business Data Cloud, let's take a look at a business use case in the area of finance. To illustrate this, we will follow Natalie, a Chief Finance Officer who is seeing some concerning KPIs regarding profitability and cash flow in her organization. Natalie reaches out to Allen, a Business Analyst in the organization, and asks him to provide her with insights about the working capital development of their company. Allen begins to explore the available Intelligent Applications in SAP Business Data Cloud through the SAP Business Data Cloud Catalog and discovers the pre-delivered Working Capital Intelligent Application. Allen knows that the desired business analysis can be instantly productive by using it. Allen contacts his colleague Frank, a Business Administrator in the organization. Frank reviews the details of the Intelligent Application and installs it. After the installation is complete, Frank navigates to the roles in the security area and grants Allen and Natalie the appropriate access rights. Frank lets Allen know that the Working Capital dashboard is available for consumption. Allen shares the results with Natalie in the Working Capital dashboard. Natalie loves that she has this overview of working capital across her organization. It gives her a 360-degree view of cash flow, Accounts Receivable, and Accounts Payable in real-time. In the Liquidity and Cash flow section, Natalie realizes that the Cash Conversion Cycle KPI has increased from the previous year. A drill down into the underlying causes reveals that the Days Sales Outstanding (DSO) is higher than expected. She asks Allen to help her predict the payment date for Open Receivables to assess the likelihood and extent of potential late payments. Allen realizes that he needs help and contacts his colleague Derek, a Data Scientist in his organization. He requests Derek's assistance in finding a solution for Natalie's request. Allen investigates the relevant data product for DSO in the SAP Business Data Cloud Catalog and shares it with Derek in the SAP Databricks environment of SAP Business Data Cloud. Derek receives the Data Product in SAP Databricks, develops a custom Machine Learning model on top of it, and shares the final scored Data Product back to Allen in SAP Business Data Cloud. Allen locates the Data Product in the SAP Business Data Cloud Catalog and incorporates it into the existing DSO data model. He adds the results in a new chart in the Working Capital dashboard and shares the extended dashboard results with Natalie. The extended dashboard results give Natalie a breakdown of Open Receivables by predicted payment date grouped in time segments. The large volume of delayed payments provides her with a clear view of the root causes of the high DSO in her organization. She is now in a position to take action to address them.