RIB Software Case Studies Kreditech Case Study

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	Kreditech Case Study RIB Software

Kreditech Case Study

RIB Software

Technology Category	Analytics & Modeling - Big Data Analytics Analytics & Modeling - Machine Learning
Applicable Industries	Finance & Insurance
Applicable Functions	Business Operation
Services	Data Science Services
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Big Data Analytics

Analytics & Modeling - Machine Learning

Applicable Industries

Finance & Insurance

Applicable Functions

Business Operation

Services

Data Science Services

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.

About 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.

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.

Impact #1	Reduced time spent on reporting activities by 40 hours per week
Impact #2	Short implementation time with first results obtained within an hour
Impact #3	Increased transparency of internal decision-making process

Impact #1

Reduced time spent on reporting activities by 40 hours per week

Impact #2

Short implementation time with first results obtained within an hour

Impact #3

Increased transparency of internal decision-making process

Benefit #1	Time savings of 40 hours per week on reporting activities

Benefit #1

Time savings of 40 hours per week on reporting activities

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Overview

Kreditech Case Study

Operational Impact

Quantitative Benefit