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Low Operational Efficiency and Increased Costs
Enterprises struggle with prolonged fault response and high operational costs due to traditional IT practices, lacking AI-driven smart solutions, leading to inefficient maintenance.
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Poor Application Performance and User Experience
In the digital era, insufficient application performance undermines user experience and brand reputation, necessitating strategies for sustained performance and innovation.
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Opaque Business Processes Lacking Flexibility
Key areas like supply chain management face opacity and inflexibility, requiring enhanced process observability to accelerate market responsiveness.
Business Pain Point
During digital transformation, enterprises face challenges like data management complexity and low operational efficiency, impacting value extraction and market response speed. Our solution, through comprehensive data integration and intelligent operations, optimizes performance and processes, aiding enterprises in enhancing efficiency and accelerating intelligent development.
Splunk Intelligent Operation Solutions
The Splunk-based smart operations solution integrates three key levels: data platform construction for infrastructure and data optimization, application system monitoring for performance and anomaly management, and business process monitoring to enhance efficiency and market responsiveness. Utilizing analysis, machine learning, and AI to obtain analysis results from real-time and historical data sources, ensuring smooth business processes and system stability, while providing deep business insights to support enterprises in maintaining a leading position in a fiercely competitive market.This comprehensive solution strengthens enterprises' digital operations capabilities, driving business innovation and competitive advantage.
Client Success Story
An internationally renowned automobile enterprise enhanced its online car sales efficiency and service experience through our intelligent operations solution. By optimizing IT system operations and strengthening infrastructure availability, the solution accelerates issue resolution. It monitors the entire customer car purchase process, integrating data for real-time monitoring and employing predictive analytics to prevent system failures. Utilizing analysis, machine learning, and AI, it extracts insights from both real-time and historical data, ensuring smooth processes and system stability, thereby helping the enterprise maintain a competitive edge in the market.