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经营分析,就是要把这5大模块做好
Sou Hu Cai Jing· 2025-11-03 02:52
Core Insights - The article emphasizes the importance of integrating financial, business, and organizational data to enhance operational analysis in banks, transforming it from passive reporting to proactive insights [1][4][32] Financial Performance - The bank's operating income reached 1.753 billion, reflecting a year-on-year growth of 16.79%, indicating stable profitability quality [4] - The total liabilities amount to 30.22 billion, showcasing the bank's liability stability [7] Asset and Liability Analysis - The analysis dashboard provides insights into loan structures, including corporate and personal loans, with an average corporate loan balance of 21.956 million [7][10] - The bank's deposit scale is 30.22 billion, with a focus on the stability of liabilities and market financing dependencies [7] Customer Insights - The analysis identifies high-contribution customers and optimizes resource allocation, enhancing the bank's overall operational efficiency [13] - The economic value added (EVA) of customers is assessed, revealing potential for profit contribution and areas for optimization [11] Risk Management - The article discusses the importance of tracking overdue loans and identifying periods of increased risk, which aids in dynamic risk provisioning [16][17] - Customer demographic analysis helps in recognizing core value segments and potential high-risk groups, facilitating targeted risk management strategies [21] Operational Efficiency - The bank's internal operations are analyzed to optimize branch resource allocation and improve service quality [22][27] - Time-based analysis reveals seasonal trends and peak business hours, allowing for better staffing and resource management [28] Strategic Decision-Making - The integration of customer structure and operational data enables precise service delivery and marketing strategies tailored to different demographic groups [31] - A data-driven operational analysis system is essential for strategic decision-making and refined management practices in the banking sector [32]