Finexkap: From Raw Data to Production, 7x Faster
Customer Company Size
SME
Region
- Europe
Country
- France
Product
- Finexpay
- Dataiku
Tech Stack
- Python
- C#
- Neo4j
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Digital Expertise
Technology Category
- Analytics & Modeling - Predictive Analytics
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Finance & Insurance
- Retail
Applicable Functions
- Sales & Marketing
- Business Operation
Use Cases
- Predictive Quality Analytics
- Supply Chain Visibility
Services
- Data Science Services
- System Integration
About The Customer
Finexkap Group is a leading fintech company founded in 2012. It provides digital solutions for B2B operators, marketplaces, and e-commerce in western Europe. The group is composed of two companies: Finexkap, in charge of IT development/R&D, and Finexkap AM, a regulated AIFM company in charge of refinancing. The company has financed 400M€ for 3,500 SMEs and has several major partnerships with B2B top-tier players such as METRO Group. The company has a small but ambitious data team that envisions data science and machine learning as a frictionless part of their product and organizational processes.
The Challenge
Finexkap, a leading fintech providing digital solutions for B2B operators, marketplaces, and e-commerce in western Europe, was facing a challenge with its data science team. The team, consisting of only three data scientists, was using Python in notebooks and a bit of C# to automate processes, but they didn’t have any visual tools for building data pipelines or to conduct on-the-fly data analysis. This method was functional but extremely tedious, and in the long run, they realized it was not sustainable, especially with the company’s growth and plans for future products and expansions.
The Solution
In July 2020, Finexkap launched Finexpay, a new service that provides a machine learning-based service that helps B2B e-commerce or marketplace operators offer their clients longer payment terms. The extended payment terms module adds up to 90 days on top of existing terms and is based on a client proprietary score. The Finexpay client score is generated by Dataiku, from which the team built the entire project end-to-end. The team chose Dataiku for its user-friendly interface, easy data exploration and analysis capabilities, flexibility, integrated notebooks connected directly to datasets, visual recipes, and ability to facilitate quick and easy project deployment to production.
Operational Impact
Quantitative Benefit
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