金融地理可视化分析平台

涉及地址信息、定位信息、区域信息等人地数据的系统，都可以接入金融地理平台。平台可以快速赋予业务数据空间属性，通过接口输出和组件化开发，使系统获得空间分析能力以及可视化地图业务场景。 建设集空间信息数据存储、查询、分析和展示于一体企业级空间信息技术能力，将地图服务、分析服务与金融业务数据和金融场景有机结合，提供一站式空间服务支撑，使客户服务特色化、管理决策科学化、安全监管智能化。 在空间信息数据存储方面，依托空间数据存储引擎整合来自银行内部以及平台公司的地图数据、边界数据、地址数据、POI数据等空间信息数据，解决传统数据库无法存储的空间属性，增加业务数据的空间维度，提高业务数据利用率，从而实现对数据的全面洞察。 在空间信息数据分析方面，集成空间关系计算引擎，结合业务数据、业务场景，构建空间数据分析引擎，充分挖掘空间信息数据应用价值，实现对空间信息数据的综合分析。 在空间信息数据可视化展示方面，依托GIS引擎、本地化地图数据、实时可视化展示与交互能力，实现空间信息原始数据、分析结果、报表、客户数据等数据的可视化展示，以及区域圈选、点选、热力图等数据可视化操作，满足用户对于空间数据的个性化展示需求，便捷用户理解和信息共享。

Systems involving geospatial data such as address information, positioning information and regional information can be connected to the Financial Geographic Platform. The platform can quickly endow business data with spatial attributes, and enable the connected systems to obtain spatial analysis capabilities and visualized map business scenarios through API output and component-based development.

By building enterprise-level spatial information technology capabilities integrating spatial information data storage, query, analysis and display, the platform organically combines map services and analysis services with financial business data and financial scenarios, providing one-stop spatial service support to realize personalized customer service, scientific management decision-making and intelligent security supervision.

For spatial information data storage: relying on spatial data storage engines, the platform integrates spatial information data such as map data, boundary data, address data and POI data from internal banks and platform companies. This solves the problem that traditional databases cannot store spatial attributes, adds spatial dimensions to business data, improves the utilization rate of business data, and thus enables comprehensive insights into the data.

For spatial information data analysis: by integrating spatial relationship computing engines and combining with business data and business scenarios, the platform builds a spatial data analysis engine to fully explore the application value of spatial information data and realize comprehensive analysis of such data.

For spatial information data visualization display: relying on GIS engines, localized map data and real-time visualization and interaction capabilities, the platform realizes the visualization of spatial information raw data, analysis results, reports, customer data and other data, as well as data visualization operations such as area selection, point selection and heat maps. This meets users' personalized display needs for spatial data, facilitating user understanding and information sharing.

搜集汇总

背景与挑战

背景概述

该平台整合银行内外部空间数据，通过空间分析引擎和可视化技术，为金融业务提供空间属性增强、智能分析和交互式地图展示功能，支持科学决策和个性化数据呈现。