Our tools and expertise

We use a data-based approach to solving problems. This means using freeware tools such as R, Python, all SQL based tools, as well as using licensed software such as Tableau, Power-BI, SAS for ETL based solutions.

Fintech

Leverage structured and unstructured data to improve the predictive power of models

Data Science

Use of statistics, machine learning, predictive modeling, and other analytical techniques to uncover insights about customers, products, and other areas of research

Provisioning

Creating automated reports based on IFRS for internal or external (investor, auditor, regulator) requirements

Risk Management

Full scope risk management - from customer analysis to segmenting defaults, to tool usage for processes, and strategy for customer engagement

Alternative Lending

Adding new data sources achieves additional model accuracy for both pricing and reserving

Banking

From gathering user requirements, writing specifications to product testing and deployment, and applying ECB regulations

Customer Journey

Finding the biggest drop-offs of clients for your services, and ways to improve.

Debt Collection

From automated reporting to measuring effectivity, to devising strategies and methods for improved collections

Faster Onboarding

By automating the customer onboarding process, business reduced the time it takes to bring new customers on board. This lead to improved customer satisfaction and increased revenue as customers start using the product or service sooner.

Improved Customer Satisfaction

By analyzing companies practices, identified areas what caused frustration or dissatisfaction among customers. By improving these processes, we achieved a more positive experience for our customers, which can lead to better relationships and increased loyalty.

Increased effieciency

Automating the customer onboarding process free up staff time, allowing them to focus on other important tasks, such as customer service or product development and in long run this reduced the need of increasing our stuff.

Data protection