Business Behavior Analysis Solution

-Bank's data applications are focused on big data, emphasizing the addition and enhancement of external data to internal data, while ignoring the potential of its own high-quality data.
-Get through the detailed data of inter-enterprise financial transactions distributed in various systems, and merge them into a unified transaction view, analyze the characteristics of enterprise capital and payment transactions, and coach the business department to carry out marketing decisions and customer analysis.

business pain points
Difficult to integrate data from various systems within the enterprise, lack of analysis of customer data, lack of overall customer portrait, and inability to effectively target marketing

Business Objectives
Get through the business data of each system, establish a unified view of customers, establish a multi-dimensional data analysis model, and build an accurate customer recommend algorithm system.

Core Functions
Data integration: unified management of data scattered in different systems to solve the problem of data silos.
-Data standardization: harmonization of data formats and standards to ensure consistency in data quality.
Data security: In the process of data sharing, data security is protected through rights management and encryption technology.
· Real-time analysis capabilities: quickly integrate data to support real-time analysis and provide a basis for decision-making.
-Customer recommend algorithms: get precision marketing target customers through algorithmic models.

Customer Value
Improve decision-making efficiency: real-time data supports rapid decision-making and avoids errors caused by information lag.
-Optimize resource allocation: dynamically adjust resources through data sharing and analysis.
Enhance enterprise competitiveness: data-driven management, improve operational efficiency, enhance market competitiveness.
Reduce management costs: Reduce additional management costs due to data silos and duplication of work.
Improve marketing efficiency: Through customer segmentation and demand forecasting, resources are focused on target customer groups, thereby reducing marketing costs and increasing conversion rates.