Kreditech Case Study
Region
- Europe
Country
- Germany
Product
- datapine
Tech Stack
- Machine Learning
- Big Data
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Cost Savings
Technology Category
- Analytics & Modeling - Big Data Analytics
- Analytics & Modeling - Machine Learning
Applicable Industries
- Finance & Insurance
Applicable Functions
- Business Operation
Services
- Data Science Services
About The Customer
Kreditech is an online consumer finance company based in Hamburg, Germany. The company provides easy and fast loan access to customers worldwide through its web and mobile services. Kreditech's convenient and fast consumer services are backed by a sophisticated credit scoring process that uses machine learning algorithms and big data infrastructure. The company aims to provide its customers with a seamless and efficient loan application process, making it a preferred choice for many individuals seeking financial assistance.
The Challenge
Kreditech, an online consumer finance company, was facing several challenges in its operations. The company wanted to reduce the involvement of its IT department in daily analytical processes and decentralize the decision-making process. This was to reduce dependency on single business intelligence experts. The company also wanted to combine multiple internal and external data sources to provide a foundation for strategic decisions and management meetings. The requirements for the solution included fast implementation time, robust self-service access for business users, fast in-depth analysis of huge amounts of data, maximum level of data security and privacy, and a scalable, stable infrastructure.
The Solution
Kreditech implemented datapine, a solution that allowed the company to set up automated reporting processes. This significantly reduced the time spent on reporting activities, freeing up time for more complex tasks such as number crunching and investigating complex questions. The implementation of datapine was quick and efficient, with the company obtaining its first results based on its own data within an hour of logging in for the first time. The solution provided robust, self-service access for business users, allowing them to quickly and easily access in-depth analysis of large amounts of data. datapine also provided a high level of data security and privacy, ensuring that Kreditech's sensitive information was protected.
Operational Impact
Quantitative Benefit
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