bol.com Reduces Cloud Analytics Costs by 91% with AtScale
公司规模
1,000+
地区
- Europe
国家
- Belgium
- Netherlands
产品
- AtScale
- Google BigQuery
- Tableau
技术栈
- Hadoop
- Google Cloud Platform
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 分析与建模 - 大数据分析
- 基础设施即服务 (IaaS) - 云计算
适用行业
- 电子商务
- 零售
适用功能
- 商业运营
用例
- 质量预测分析
- 供应链可见性(SCV)
服务
- 云规划/设计/实施服务
- 数据科学服务
关于客户
bol.com is the top online retailer in the Netherlands and Belgium. As of 2020, the company serves 12 million active customers and offers over 30 million items. The company has grown massively in a short amount of time with an innovative data-driven team. As the company scaled, the data began evaluating alternatives to their overloaded Hadoop cluster that was taking too long to run some jobs. The company's analysts were using Platfora for data preparation and visualization. However, after the acquisition of Platfora by Workday and its subsequent discontinuation, bol.com began looking for a new solution to support their BI and analytics program.
挑战
As the top online retailer in the Netherlands and Belgium, bol.com has grown massively in a short amount of time. As the company scaled, the data began evaluating alternatives to their overloaded Hadoop cluster that was taking too long to run some jobs. At the time, the company’s analysts were using Platfora for data preparation and visualization. Shortly after the go-live, Platfora announced its acquisition by Workday and with that the discontinuation of the product. With this as a catalyst, bol.com began looking for a new solution to support their BI and analytics program. Self-service was a top priority for the bol.com team. As they looked for new technology partners, they wanted to integrate a semantic layer solution that could cover all data assets, now and in the future. Further, they wanted to ensure compatibility with whatever BI and analysis tools they may use in the future.
解决方案
The team at bol.com captured the lessons from their Platfora implementation and completely renewed their BI technology stack. They moved all their data from the on-premises Hadoop cluster to Google BigQuery on the Google Cloud Platform. The company also moved its team to Tableau for visualizing data and off of Platfora. By leveraging AtScale’s semantic layer solution between Google BigQuery and Tableau, the company provided its 1600 BI users with a live, fast connection to fresh and historical data without the need for complex data engineering. As a result, bol.com's BI users now have a live connection to data to perform more timely analysis. The bol.com semantic layer ensures accuracy and consistency for data analysis and reporting across the organization. This single version of the truth is fundamental for achieving a true self-service analytics culture.
运营影响
数量效益
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