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Bank BRI Indonesia's Journey Towards Decentralized Analytics for Rapid Business Insights
技术
- 分析与建模 - 大数据分析
- 分析与建模 - 数据即服务
适用行业
- 水泥
- 金融与保险
适用功能
- 物流运输
- 产品研发
用例
- 最后一英里交付
- 智慧校园
服务
- 数据科学服务
- 培训
挑战
PT Bank Rakyat Indonesia (BRI) 是印度尼西亚最大的银行之一,其数据分析流程面临着重大挑战。该银行采用数据驱动的方法,在集中式系统中苦苦挣扎,在该系统中,数据分析被认为只是 IT 部门的任务。业务团队每次需要新的报告或仪表板时都必须向 IT 部门提出请求,然后等待长达四个星期的响应。报告和仪表板是使用复杂的查询和编码来准备的,这通常会导致更改请求和进一步的延迟。在某些情况下,仪表板完成后就不再需要了。 BRI 希望能够更快地向业务团队交付数据,并为自助分析奠定基础。
关于客户
PT Bank Rakyat Indonesia,俗称 BRI,是印度尼西亚最大的银行之一。作为一家国有企业,BRI 致力于将银行服务延伸至城市以外的印度尼西亚农村地区。 BRI更广阔的愿景是成为东南亚最具价值的银行集团和普惠金融的领军者。该银行以数据驱动的方式实现这些目标,并建立了涵盖整个组织的数据文化。
解决方案
为了应对这一挑战,BRI 首先在 IT 部门内推出 Tableau,并使用它为业务创建仪表板。随后,该公司开始在整个组织内培养数据素养。 Tableau 帮助 BRI 实施自助服务策略,使非 IT 用户能够独立探索数据并自行提取见解。 BRI 的数据专家与业务用户密切合作,开发最能满足他们需求的解决方案。该银行还运行一个名为“Pendekar Data”(数据战士)的计划来提高数据素养,其中包括业务培训,并得到数据冠军网络的支持。培训结束后,业务用户能够使用 Tableau 自行分析数据。目前,有十多个数据集连接到 Tableau,18 个部门使用这些数据集进行自助分析。
运营影响
数量效益
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