帝国数据银行将处理数十亿文本数据的时间从几天缩短到 30 分钟
公司规模
Large Corporate
地区
- Asia
国家
- Japan
产品
- IBM® InfoSphere® BigInsights™
技术栈
- Apache Hadoop
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Digital Expertise
技术
- 分析与建模 - 大数据分析
适用行业
- 金融与保险
适用功能
- 商业运营
用例
- 质量预测分析
服务
- 数据科学服务
关于客户
帝国数据库的历史可以追溯到 1900 年帝国兴信社成立之初，距今已有 100 多年。该数据库以“作为可靠的信息合作伙伴，支持经济活动并为社会发展做出贡献”为企业理念，在企业信用调查、信用风险管理服务、数据库服务、营销服务和电子商务支持服务等领域开展业务。作为主营业务的企业信用调查包括“在企业之间进行商业交易时，调查对方的资产状况、销售业绩、声誉等真实情况”——例如，澄清各种商业信息的调查。他们在早期将计算机引入到企业信用调查中，以提高业务效率和客户服务。
挑战
帝国数据银行有限公司拥有数百万家公司的数据。为了保持竞争力，该公司希望结合从互联网收集的“大数据”来分析这些专有信息。然而，互联网上发布的信息已经开始对公司业务产生重大影响，因此应对这种情况已成为当务之急。他们拥有经过调查和整合的公司信息，以回答诸如“该公司是什么样的公司？”和“他们有多值得信赖？”等问题。他们没有保留与互联网上类似的信息，例如拥有的产品种类或产品在市场上的评价。然而，客户一直要求他们提供包含此类互联网信息的公司信息。
解决方案
该公司在服务器集群中部署了IBM® InfoSphere® BigInsights™软件。InfoSphere BigInsights软件基于Apache Hadoop，可实现大数据集的分布式处理。在系统结构方面，他们最初尝试使用单台服务器抓取互联网并处理信息，没有进行并行化，但速度很慢，无法使用，几天都无法完成。测试计算表明，这还需要几周的时间，而且有些处理会在中途停止。当将InfoSphere BigInsights软件引入同一台服务器后，处理速度大大提高。
运营影响
数量效益
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