Becoming a Data-Driven Company With Looker
公司规模
Mid-size Company
地区
- Europe
国家
- Germany
产品
- Looker
技术栈
- LookML
- Slack
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Digital Expertise
技术
- 分析与建模 - 数据即服务
适用行业
- 金融与保险
适用功能
- 商业运营
服务
- 数据科学服务
关于客户
Raisin is a successful Fintech start-up based in Germany. Founded in 2013, it operates several deposit marketplaces across Europe under the brands WeltSparen and Raisin. By the end of 2019, Raisin had scaled to over 225,000 customers, with a brokered volume of roughly 18 billion euros. The company has grown from a mere 30 employees to more than 200, each with a Looker account. The business intelligence platform has been the linchpin of Raisin’s data-driven culture ever since. Raisin's vision is to make data accessible to every employee, enabling them to make as many decisions as possible with data support.
挑战
Raisin, a successful Fintech start-up in Germany, was facing challenges with data management. Much of the company's data was stored in Excel spreadsheets, making it difficult to access and utilize effectively. The rapid growth of the company and management’s vision of a strong data culture necessitated a streamlined approach to data handling. The company's vision was to make data accessible to every employee, enabling them to make as many decisions as possible with data support. However, they lacked the necessary infrastructure to achieve this. They needed a self-service platform that would provide a unified view of all data sources and allow each employee to obtain easy access to the relevant insights.
解决方案
Raisin decided to implement Looker, a business intelligence platform, to democratize data within the company. Looker met Raisin's three key requirements: it was intuitive, enabling every employee to access data, even those without previous technical knowledge; it helped the BI team to be efficient, processing requests for new metrics and dashboards quickly; and it had self-service capabilities, allowing employees to configure and visualize ad-hoc analyses, easing the pressure on the data team. Looker’s data modeling language, LookML, impressed Raisin the most. With LookML, all you need to do is define the data model once, and then it is available to every user. Looker also offers enormous flexibility when it comes to updating key metrics, such as price models and performance indicators.
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