Identifying Analysis, Reporting and Automation Options

Objective

After completing this lesson, you will be able to generate SAP Credit Management reports and analyze credit data

Credit Management Reporting

Credit Management Reporting App

The Credit Management Reporting app in SAP S/4HANA Cloud offers comprehensive tools to create various reports that help in monitoring and managing credit risk. The app shows key performance indicators for credit limits, credit exposures, documented credit decisions, and blocked sales orders. Key features of the app are:

  • Credit Exposure Analysis: Monitor and analyze the credit exposure of your business partners. This helps in keeping track of the outstanding amounts and potential risks.
  • Credit Limit Utilization: Generate reports that show how much of the credit limit assigned to business partners is currently utilized, which helps in proactive credit management.
  • Creditworthiness Scoring: Access reports that summarize the credit scores of your customers, helping you to make informed credit decisions.
  • Aging Analysis: Generate aging reports to track overdue receivables and identify customers who are delaying payments.

Credit Management Jobs

Automation in Credit Management can help streamline processes and reduce manual intervention, making your operations more efficient. You can schedule various credit management jobs in SAP S/4HANA Cloud, some of which can also leverage AI functionalities.

Here's a breakdown of some automated tasks you can schedule:

  • Assign Credit Management Role:
    • Purpose: Automate the assignment of credit management roles to relevant staff members or departments.
    • Benefits: Ensures that only authorized personnel can perform credit management tasks, enhancing security and compliance.
  • Update Rule for Scoring and Credit Check:
    • Purpose: Automate the update of rules used for scoring and performing credit checks on business partners.
    • Benefits: Keeps credit risk assessments up-to-date based on the latest data, improving the accuracy of credit decisions.
    • AI Integration: AI algorithms can analyze historical data and adjust scoring rules to better predict credit risk.
  • Check Credit on SD Documents:
    • Purpose: Automate the credit check process during the sales order processing.
    • Benefits: Ensures that orders are aligned with customer credit limits, thereby reducing the risk of bad debts.
    • AI Integration: AI can help predict the likelihood of credit issues based on previous sales and payment behaviors, adding an extra layer of risk assessment.
  • Update Credit Limit for Business Partner:
    • Purpose: Automate the updating of credit limits for business partners based on their recent financial performance and credit history.
    • Benefits: Ensures credit limits are reflective of the current financial standing, reducing the risk of extending too much credit to high-risk customers.
    • AI Integration: AI can recommend credit limit adjustments by analyzing trends in payment patterns and overall financial health of the business partner.
  • Update Score for Business Partner:
    • Purpose: Automate the scoring updates for business partners based on their payment performance, credit history, and other relevant factors.
    • Benefits: Keeps credit risk assessments current and accurate, helping in making informed credit decisions.
    • AI Integration: AI can continuously analyze various data points and revise scores, ensuring a dynamic and precise credit assessment.

Using the tools

By effectively using these tools, businesses can achieve the following:

  • Enhanced Efficiency: Automation reduces manual workload, allowing your team to focus on strategic tasks.
  • Improved Accuracy: AI and automation ensure real-time and precise credit assessments, reducing human error.
  • Proactive Risk Management: Advanced reporting and analytics provide insights for early identification of credit risks.
  • Better Compliance: Automated rule updates and role assignments ensure adherence to internal policies and external regulations.
  • Informed Decision-Making: Comprehensive and up-to-date reports empower better credit decisions, supporting overall financial health.

Conclusion

SAP S/4HANA Cloud offers robust tools for reporting, analyzing, and automating credit management processes. The Credit Management Reporting app provides valuable insights through various reports. Automation options, particularly those leveraging AI, streamline tasks like assigning roles, updating scoring rules, performing credit checks, and maintaining credit limits and scores. By utilizing these features, organizations can enhance efficiency, accuracy, and risk management in their credit management operations.

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