Remove Credit Risk Remove Information Remove Transactions
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SAP S/4HANA Credit Management – New Information Category 50

SAP Credit Management

This blog covers necessary configuration and the behavior of one of new functions in Credit Management in SAP S/4HANA 2021. It is about a new information category 50 (Additional Adjustment) and Information Type 01 (High Season) in BP master data. With this function, you can top up credit limit in certain period of time (e.g.

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Structuring cash transactions: Example reviews and best practices for banks

Abrigo

How does your AML program detect structured cash transactions? Takeaway 2 Put yourself in the customer’s shoes to identify why they might be performing transactions in a manner that reflects potential structuring. Following the passage of BSA, bad actors began structuring cash transactions to avoid the required reporting.

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How to implement consistent credit risk pricing

Abrigo

Credit risk pricing Maintaining consistency in credit risk pricing can be broken down into three important factors. Takeaway 1 Risk rating using multi-factor contributions is key to building a strong credit risk pricing model. Request more information. Credit Risk Management.

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The Role of AI in Mitigating Credit Risk for Credit Managers and Reducing Default Rates

Emagia

Managing credit risk for B2B customers is critical for seamless order to cash (OTC) and working capital cycles. Businesses that follow traditional reactive strategies in OTC processes may find it difficult to collect at-risk future invoices, likely leading to large invoices going delinquent.

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The Role of AI in Mitigating Credit Risk for Credit Managers and Reducing Default Rates

Emagia

Managing credit risk for B2B customers is critical for seamless order to cash (OTC) and working capital cycles. Businesses that follow traditional reactive strategies in OTC processes may find it difficult to collect at-risk future invoices, likely leading to large invoices going delinquent.

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5 Must-have Digital Technologies in Your Business Credit Risk Management Platform

Emagia

Enterprises digitally transform their credit risk management processes to manage and navigate volatile market conditions, new regulatory pressures, increasing customer expectations, and other credit risks related to customers and vendors. Robotic Process Automation (RPA). Artificial intelligence (AI). Big Data Analytics.

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Credit risk management: dynamic data and the right credit management strategy are key

Onguard

Live and up-to-date data are therefore crucial for financial professionals who want to make the right choices and minimise risks. Traditional searches do not provide sufficient insight to properly assess potential transactions. In short, live and up-to-date data are crucial for credit risk management and can save businesses.