Case Study: Reconciliation Process Automation

From Manual to Automated!

We streamlined processes, boosted sales performance, and saved valuable time by driving 100% trade-sales tagging automation for a global asset management company. The result? Improved efficiency and a stronger competitive edge. That is the power of Data Analytics and AI Operalization. 

Case Study: Payments and Fraud

Even the best algorithms are useless without clean data streams!

In this client example, our e-commerce teams built foundational data assets to improve the customer experience and fraud detection.

Case Study: Churn Prediction & Success Enhancement

Award-winning work by our EdTech team at LearningMate! We won the Platinum award for learning analytics at what is considered the Oscars of EdTech

We operationalized data analytics and AI to improve student retention rates and their learning experience by engaging multiple stakeholders simultaneously – Teachers, Administrators, Parents, and Students.

Case Study: Collections and Bad Debt Reduction

Our integrated team of collections operations, along with Straive data analytics and AI engineers, collected €115 Millions in 12-months for a leading publisher! The size of total Straive team – less than 20 people. That’s over €5 Million per person.

Case Study: Efficiency, Cost savings, and Sustainability Improvement

I really enjoyed this client example from our supply-chain and manufacturing practice. First – we built impactful data analytics and AI tools. Then, we worked with client schedulers and planners in daily meetings to ensure adoption and last-mile improvements to the tools.

Most data analytics and AI projects never get operationalized because they never get adopted.