The Customer Management Data Mart System at GienTech is architected across three distinct layers: the Foundation Layer, Aggregation Layer, and Application Layer. The design highlights the interdependencies among dimensions, relationships, and facts, and incorporates techniques such as dimension degeneration to optimize model construction.
The Foundation Layer organizes data into seven key domains—Customer, Agreement, Marketing, Product, Transaction, Public, and others—laying a solid groundwork for comprehensive customer data management. Building on this foundation, the Aggregation Layer focuses on data consolidation, ensuring strong consistency while enhancing model intelligibility. This design approach lowers the learning curve for both IT and business users, improves model usability, and fully unlocks the value of data applications.
The system provides robust support for a wide range of business needs, including customer segmentation, customer scoring, marketing analysis, sales analysis, and performance evaluation, thereby enabling more informed and agile decision-making.
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Slow and Fragmented Information Retrieval
Despite having abundant data, extracting meaningful insights across siloed systems remains slow and cumbersome.
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Limited Analytical Capabilities
Existing business systems support predefined reporting but cannot meet the growing demand for historical, integrated, intelligent, and easily accessible analysis.
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Data Noise and Inconsistencies
Business data is dispersed across multiple platforms, often plagued by inconsistencies and invalid entries, making reliable analysis difficult and resource-intensive.
The GienTech Customer Management Data Mart System stores both raw customer business data and analytical outputs, building a comprehensive customer profiling framework. It serves as a powerful enabler for intelligent marketing and intelligent risk management, significantly enhancing the management precision of financial institutions.
The GienTech Customer Management Data Mart System is built on principles of unified customer management, business-driven design, effective governance, and forward-looking planning. Validated through real-world application scenarios, the system enables truly customer-centric business operations and development.
It standardizes customer identification and core analytical metrics, fully leveraging both internal and external data sources of financial institutions. Featuring a comprehensive system of customer tags and performance indicators, the platform ensures efficient information delivery and effective monitoring. These distinctive capabilities position the system with a strong competitive advantage in the market.

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