Core Insights - The article emphasizes the transformation of enterprise strategic management from experience-driven to data intelligence-driven through the integration of technology, data-driven decision-making, process collaboration, and organizational change [7] Group 1: Technology Integration - The deployment of AI and machine learning can achieve 15% autonomy in daily decision-making, with applications in supply chain disruption simulation and risk report generation [3] - Cloud-native architecture supports cross-regional team collaboration, while hybrid computing enhances complex task processing capabilities [3] - Low-code/no-code platforms can reduce template code by 60-80%, enabling non-technical personnel to complete basic process configurations in 47 minutes [3] Group 2: Data Integration and Analysis - Real-time data integration from ERP, CRM, and social media through data lake architecture allows for data cleaning, standardization, and anomaly detection [3] - Business Intelligence (BI) tools like Tableau and Power BI facilitate data visualization and real-time dashboards, improving monitoring of key metrics such as production efficiency and inventory turnover [3] - Digital twin technology creates virtual mirrors of enterprise operations to test risk response strategies [3] Group 3: Predictive Analytics and Agile Management - Machine learning models can predict supply chain disruption probabilities and customer churn risks, while knowledge graphs identify hidden risk transmission paths [3] - Agile strategic management practices, such as OKR updates and AI-driven execution deviation alerts, enhance responsiveness to customer needs [3] Group 4: Automation and Process Optimization - Robotic Process Automation (RPA) can reduce labor costs by 40% in order reconciliation, while intelligent decision support can cut decision-making time by 50% [3] - A bank's loan approval time has been reduced from 3 days to 1 day, with a 5% decrease in bad debt rates [3] Group 5: Data Governance and Cultural Development - Establishing data governance mechanisms ensures data quality, security, and compliance, with blockchain supporting carbon footprint accounting [5] - Training systems enhance employee digital literacy and promote a data-driven culture, encouraging participation in data analysis and decision-making [5] Group 6: Continuous Optimization and Feedback - Strategic reviews help build unique organizational capabilities, while regular strategic calibrations ensure dynamic adjustments [5] - Manufacturing enterprises have seen a 25% reduction in production cycles and an 18% decrease in inventory costs after implementing BI software [5]