Business Data Intelligence (BDI) is a complete set of solutions. It utilizes technologies such as data extraction, data cleansing, data warehousing, data mining, data analysis, and data visualization to help enterprises collect, integrate, and analyze data from different business systems. This enables enterprises to understand their own business operations in real-time and accurately, thereby discovering potential problems and opportunities, optimizing business processes, enhancing market competitiveness, and achieving efficient transformation from data to insights and then to action, providing strong support for enterprise decision-making.

Core Functions

Core Functions

Data Extraction Data Cleaning Report Design Data Visualization
Data Extraction
Data Cleaning
Report Design
Data Visualization

Industry Applications

Industry Applications

Financial Industry
Digitalization of risk assessment Data-driven decision making Intelligent

Financial Industry

Financial Industry

Application scenarios of business intelligence in the financial industry, such as risk assessment and management, customer credit analysis, investment portfolio analysis, financial market trend prediction, etc. For example, by analyzing a large amount of financial transaction data and customer information, assess the credit risk of loan customers and provide decision support for loan approval.

Manufacturing Industry
Preventive maintenance Data-driven business process optimization Reduction of supply chain costs

Manufacturing Industry

Manufacturing Industry

The application of business intelligence in the manufacturing industry includes: production process optimization, quality control, supply chain management, equipment failure prediction, etc. For example, by analyzing sensor data on the production line in real-time, predicting equipment failures, scheduling maintenance in advance, and reducing equipment downtime.


Retail Industry
Customer profile construction Real-time insight into sales data and trend prediction Intelligent Inventory Management

Retail Industry

Retail Industry

Application of business intelligence in the retail industry, such as sales data analysis, customer behavior analysis, product pricing and promotion strategy formulation, inventory management, etc. For example, by analyzing customer purchase history data, conduct precision marketing to improve customer loyalty and repurchase rate.

Success Cases

Success Cases

Brand Name

Brand Name

Technology Network

Emphasize that during the model training process, all data is processed within the enterprise's private environment, strictly adhering to data security regulations, ensuring that enterprise data is not leaked, and protecting the enterprise's core competitiveness.

———— Brand MG

75%

Cost reduction

75%

Efficiency improvement

95%

Customer satisfaction has improved

Brand Name
Brand Name2

Brand Name2

Technology Network

Emphasize that during the model training process, all data is processed within the enterprise's private environment, strictly adhering to data security regulations, ensuring that enterprise data is not leaked, and protecting the enterprise's core competitiveness.

———— Brand MG

75%

Cost reduction

75%

Efficiency improvement

95%

Customer satisfaction has improved

Brand Name2