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Client Success Story

Banking & Financial Services
New Product Process
Strategy
Client type:
Large bank
Industry:
Banking
Goal:
Streamline the process of creating and launching new financial products
Metric:
Streamline the process of creating and launching new financial products
Execution

Connect the new product development process with the out-of-the-box connector for project management systems. Configure relevant KPIs, including time to market and number of successful product launches.

Process Mining identifies bottlenecks and inefficiencies in the product development cycle. Further analysis reveals specific stages, such as regulatory approval and market research, that cause delays.

Streamline the regulatory approval process, enhance market research through data analytics, and improve cross-departmental collaboration to speed up product development.

Monitor the metrics time to market and number of successful product launches to ensure continuous optimization of the product development process.

Result
A large financial institution used process mining to reduce the time to market for new products by 25%, leading to more frequent and successful product launches, and increased market competitiveness.
Cross Border Payments
Strategy
Client type:
Large bank
Industry:
Banking
Goal:
Optimize cross-border payment processes to reduce transaction times and costs
Metric:
Optimize cross-border payment processes to reduce transaction times and costs
Execution

Connect the cross-border payment system with the out-of-the-box connector for payment processing systems. Configure relevant KPIs, including average transaction time and transaction cost per payment.

Process Mining identifies delays and high-cost areas in the cross-border payment process. Further analysis reveals specific steps causing delays, such as currency conversion and intermediary bank processing times.

Implement real-time payment tracking, optimize currency conversion processes, and negotiate better terms with intermediary banks to reduce processing times and costs.

Monitor the metrics average transaction time and transaction cost per payment to ensure continuous improvement in the cross-border payment process.

Result
A large bank used process mining to reduce cross-border transaction times by 30% and lower transaction costs, resulting in faster and more cost-effective payments for customers.
Customer Onboarding Process
Strategy
Client type:
Private bank
Industry:
Wealth management
Goal:
Streamline customer onboarding process
Metric:
Streamline customer onboarding process
Execution

Connect the customer onboarding process with the out-of-the-box connector for customer relationship management (CRM) systems. Configure relevant KPIs, including average onboarding time and conversion rate.

Process Mining reveals high dropout rates during the document submission phase. Further analysis identifies the specific documents causing the most delays.

Simplify the document submission process by integrating an online document upload and verification system.

Monitor the metric average onboarding time to ensure the process remains efficient and user-friendly.

Result
A large bank used process mining to decrease customer onboarding time by 20%, resulting in a smoother customer experience and higher conversion rates.
Loan application process use case
Strategy
Client type:
Large bank
Industry:
Private banking
Goal:
Improve loan application processing time
Metric:
Improve loan application processing time
Execution

Connect the loan application process with the out-of-the-box connector for loan management systems. Configure relevant KPIs, including average processing time and approval rate.

Process Mining reveals bottlenecks in the loan approval process. Further analysis shows steps where applications are delayed and the impacted value.

Automate document verification steps and trigger alerts for pending approvals to loan officers. Implement auto-decision rules for low-risk applications.

Monitor the metric average processing time to continuously optimize the loan approval process.

Result
A large bank used process mining to reduce loan application processing time by 30%, resulting in increased customer satisfaction and higher loan approval rates.

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