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AtScale > 实例探究 > How BRI Bank Accelerated Time-to-Decision for Business Intelligence with AtScale
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How BRI Bank Accelerated Time-to-Decision for Business Intelligence with AtScale

技术
  • 分析与建模 - 实时分析
  • 平台即服务 (PaaS) - 数据管理平台
适用行业
  • 金融与保险
适用功能
  • 商业运营
用例
  • 实时定位系统 (RTLS)
服务
  • 数据科学服务
挑战
PT Bank Rakyat Indonesia (BRI) was facing challenges with data analytics. They had performance issues when processing and visualizing their data. They also had storage and load time issues caused by moving data from the data lake into an RDBMS for visualization. Additionally, they had an issue with the processing time it took to provide data for queries. If they gave the wrong instructions, they would have to create, build and run each job over again. This was an inefficient and expensive way to provide executives with the analysis they use to make business decisions.
关于客户
PT Bank Rakyat Indonesia (BRI) is one of the largest banks in Indonesia. It specializes in small scale and microfinance style borrowing from and lending to its approximately 30 million retail clients through its over 4,000 branches, units and rural service posts. The bank's executives wanted to access all of their population data to get holistic insight into the business, which led the Enterprise Data Management team at BRI to seek a new, agile solution.
解决方案
BRI implemented AtScale to speed up their queries and improve time to insight. AtScale helped to design datasets, making it easy for business users to get self-service access to their data. With AtScale, BRI’s business users didn’t have to extract the data into different target databases for data analytics and they didn’t need a dedicated engineer to get them started. AtScale transparently executes queries on raw data without manual processing to shape, move, duplicate, and optimize data with significant performance improvements.
运营影响
  • The BRI team is consuming data quickly without the need to perform ETL on their data.
  • AtScale also works well with Tableau so the BRI team is able to build data visualizations easily.
  • The architecture team has seen significant performance gains to both the investment and banking business operations at BRI with the AtScale platform.
数量效益
  • In one case, they were able to reduce the time it took to process 600 million records from 10 minutes to under a minute.
  • Before AtScale, the BRI team needed to build star schemas using scripting or SQL Server Analysis Services (SSAS) and the average time to build the data was two days (depending on how big and complex the data was). With AtScale, they have been able to build hundreds of insights in hours not days.

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