Case Study: Sidetrade achieves faster cash generation and 3–4× quicker Big Data projects with Talend Big Data

Anticipating customer behaviors today means predicting future customer relationships and speeding up cash generation

Sidetrade is a cloud SaaS leader that uses AI to predict customer payment behavior across the sales-to-cash cycle, serving 1,000+ companies in 65 countries. Its challenge was to deliver accurate, large-scale predictive analysis of customer cash flows—where average payment delays of 13–15 days can cost businesses millions per day—by ingesting and scoring massive, heterogeneous datasets to help finance teams forecast and accelerate cash generation.

Sidetrade built machine-learning scoring on a Hadoop-based, massively parallel architecture and used Talend Big Data to orchestrate data integration from Oracle, MongoDB and other sources into a 5-node data lake. The platform analyzes €690 billion in transactions (230 million payment experiences across 5 million companies), refreshed daily; Talend cut data-prep time and project delivery by 3–4×, enabled a Lambda-style real-time/batch setup, and helped customers shorten days-to-payment—translating directly into millions in faster cash and better working-capital control.

Sidetrade

Olivier Novasque

Chief Executive Officer