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FusionInsight — based on enterprise-level big data storage, query, and analysis — rapidly constructs massive data processing systems, allowing financial institutions to obtain real value from information through mass data mining, and both real-time and non-real-time analyses.
The result? Fresh insight, made available to inform key decision-making.
Banks mine, track, and analyze user data to reveal consumption habits, preferences, and more, allowing for more precise customer segmentation and more effective, personalized intelligent marketing.
With big data, online marketing promotion channels can also be closely monitored, micro-adjusted, and optimized.
Big data can be harnessed to monitor customer interactions, to forecast — and meet — customer demand, increasing overall satisfaction and earning loyalty.
Crucially, a big data solution also provides real-time anti-fraud monitoring, transforming traditional post-event tracking into real-time control.
In stark contrast to Huawei’s FusionInsight, traditional, centralized, legacy systems are unable to handle complicated real-time risk control, leading to a scenario where issues are only addressed after they have occurred. Furthermore, they are unable to process the massive amounts of semi-structured and unstructured data generated in the age of the mobile Internet banking.
Supports cross-channel integrated analysis, with a single-channel supporting more than 1 billion records, with a 30-day window.
Distributed architecture, linear scalability, and under 1,000,000 Transactions Per Second (TPS), millisecond-level latency.
User-defined rules model allows new rules to go live within 10 minutes.