Achieve Continuous Customer Management
with Reliable Corporate Information,
Including UBO(Ultimate Beneficial Owner) Data
Making Compliance Closer
Challenges in continuous customer management for financial institutions.
1. Inefficient and ineffective data collection
Many financial institutions depend on traditional methods like direct mail for customer management, resulting in data collection rates of only 20-30%. This leads to incomplete or inaccurate data, affecting customer service quality.
Additionally, these traditional methods struggle with real-time data collection, delaying the detection of changes in customer situations and risks. This makes it difficult to identify potential issues early, negatively impacting risk management and customer satisfaction. In today's environment, where data accuracy and timely collection are essential, the limitations of traditional methods are becoming increasingly apparent.
2. Resource Shortages in Financial Crime Prevention
Many companies face resource shortages in financial crime prevention. This is particularly true for financial institutions and large organizations, where the processes of data collection, analysis, and monitoring are crucial to comply with complex regulations. However, reliance on limited financial and human resources increases the risk that these processes are not implemented effectively.
This resource shortage can lead to a lack of data accuracy and completeness, resulting in an increased risk of compliance violations. Furthermore, without efficient data collection methods, companies may have to rely on traditional approaches (such as direct mail or manual data entry). These are not only inefficient and costly, but can also degrade the quality of customer interactions and heighten legal risks.
To address this situation, it is essential to implement more effective and efficient data management practices, along with adequate resource allocation. Recognizing the importance of compliance, we must take concrete steps to resolve resource shortages.
3. The complexity of managing duplicate data within the organization and its solutions
Many companies face issues with duplicates and inconsistencies in managing their data. Information collected from multiple data sources and systems often lacks consistency, leading to the same entity or branch being recorded in different ways. Such data discrepancies not only reduce the efficiency of business processes but also increase risks in decision-making.
Specifically, one method of money laundering known as structuring involves breaking transactions into smaller amounts to avoid detection. Without proper entity consolidation, it becomes difficult to identify this tactic.
Additionally, the data often contains information about defunct companies or outdated details which further undermines its reliability. Such a situation can lead to inefficiencies and misjudgments in marketing activities, customer management, and business strategy development.
The time and effort required for data management is increasing, making it a significant burden for companies to maintain accurate and consistent data. As a result, this can hinder business growth and pose a risk to competitiveness.
Benefits of implementing CDL's solutions
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