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  • Banking Big Data Solution

    Banking Big Data Solution

    Enhance Data and AI Capabilities to Drive Banking
    Services Innovation

  • Overview
  • Architecture
  • Solution Scenarios
  • Case Studies

Challenges

Data Silos

Data Silos

Data platforms are fragmented, data is not interconnected, and the Level of sharing and utilization rate are Low.

Weak Data Governance Capabilities

Weak Data Governance Capabilities

The Introduction of vast amounts of external data demands higher quality standards, yet governance lacks unified standards and tools.

Poor Real-Time Performance

Poor Real-Time Performance

Broader data scope with full daily updates results in poor timeliness. This makes service scenario innovation difficult.

Power Digital Finance with Data and AI

Huawei RACE-Powered data platform supports All-domain data through a Converged lakehouse architecture, utilizes unified and Experience-centric data governance tools to enable efficient data management, and offers high-performance, high-concurrency Real-time data processing capabilities that can help banks enhance data and AI capabilities to drive service innovation.

Power Digital Finance with Data and AI

Architecture

Architecture

Define the leading architecture of the integrated lake warehouse centering on procurement, storage, computing, management, and use. Improve the data partner ecosystem and build E2E scenario-based solutions.

Architecture
Huawei

Solution Scenarios

Digital Risk Control

Build an adaptive, quantifiable, and intelligent anti-fraud system using technologies such as data analysis, Machine Learning (ML), and knowledge graphs.

Digital Marketing

Real-Time Event Marketing Delivers End-to-End Second-Level Responsiveness and Higher Conversion Rates

Stories of Success

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