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Home Page
-
Pro Solutions
- Financial field
- Innovative Business Areas
- Smart Manufacturing
- Software Testing Area
- General Domain
-
Cons. & Serv.
- Financial Advisory Services
- System operation and maintenance service
- Electrical Equipment Services
- Weak Current Equipment Services
- ODC
-
Case
- payment settlement
- Channel Case
- Regulatory Submission
- Credit Management
- Marketing case
- Risk Management
- Credit Management
- Data Case
-
News
-
About Us
- About Us
- Contact Us
- Partners
Self-Service BI Solution
, in the way of "teaching people to fish", let all business/management personnel become the masters of BI analysis and can really control BI data analysis;
-IT staff focus on the underlying data aggregation, cleaning, conversion, unification and other data base work;
business pain points
Business personnel understand business, do not understand data;
The needs of the business are ever-changing, and the data support is not timely and in place;
Technical personnel understand the data, do not understand the business;
The statistical caliber is not uniform, and the technical personnel do not know what data the business department wants;
Business Objectives
-Definition of business sector indicators, uniform calibre;
-BI self-service implementation of business analytics;
Dynamic adjustment and optimization of BI analysis results;
Technical department data collection, cleaning, conversion and unification;
-Formation of business data assets by business definition;
Typical Scene
-Automated financial statement generation: Bank employees can automatically extract financial data from multiple data sources and generate financial statements in a preset format, such as balance sheets, profit and loss statements, etc.
-Operational data report generation: The bank back office uses a self-service reporting system to generate operational data reports, such as transaction flow, account changes, etc.
-Customer Behavior Analysis Report: Through the self-service reporting system, bank employees can generate customer behavior analysis reports, such as customer trading habits, consumption preferences, etc.
-Risk monitoring and early warning reports: The system generates risk monitoring reports based on real-time data to help banks identify potential risks in a timely manner.
-Compliance report generation: Bank employees can quickly generate compliance reports that meet regulatory requirements, such as anti-money laundering reports and regulatory filings.
