What we offer
We provide essential business knowledge by using deep analysis to extract value from data. Our predictive analytics solutions enable decision-makers to turn insights into actions that deliver outstanding, actionable results.
- Advanced predictive analytics modelling
- Mixture of off-the-shelf functionality and customisable add-ons
- Proven track record and vertical expertise and knowledge
- Oriented to implement data monetisation solutions
Predictive Models
Know what is going to happen before it actually does
Predict what will occur based on thorough data analysis and employ these accurate predictions to reduce negative consequences and foster positive ones
Customer Churn
- Predict which customers are more likely to become inactive or end the relationship with the bank
- Improve bank churn rate by identifying and classifying customers before they leave
- Predict churn rate through behavioural patterns, historical transactions, external interactions and social-demographic variables
Digital Channel Adoption
- Understand how digitally savvy your customers are, both inside and outside of the bank
- Identify and classify those customers who are digitally active beyond the bank’s borders but do not yet use your digital channels
- Improve your conversion ratio by focusing on those customers who might be more willing to adopt your digital tools
Technology
Our data analytics solutions use a range of scientific principles and technological solutions to develop powerful but simple tools to allow you to unearth vital knowledge that can be used to make reliable, data-driven decisions. We do the hard part in the background so that you can focus on what is important. We provide visualisation tools that help you understand the data and how it impacts on your business by emphasising the most relevant insights in real time.
- Machine learning techniques for proper modelling
- Apache Kafka for ingesting and aggregating all your data sources
- The ELK stack for indexing and searching textual data
- The Hadoop ecosystem for batch processing of historical big data
- Apache Spark for interactive queries via your big data lake and real-time data flow processes
- Lamda architecture to combine historical data and streaming
- NoSQL databases for aggregation and efficient search of all data
Added value
Behavioural segmentation
Real-time analytics
Predictive models
Recommendation engines
Pattern recognition
Big data harvesting and maintenance
Effective back-end data integration
Real-time front-end data consumption
Marketing campaigns support
Real-time operational and ad-hoc reporting
Advanced insights visualisation
360-degree customer view
Functionality
- Reporting tools to monitor activity
- Analysis graphical interfaces to intelligently track trends
- Real-time monitoring dashboards give immediate oversight
- Predictive models to understand what might happen in the future
- 360-degree view of your customers
- Customer segmentation
- Pattern recognition to find opportunities for cross-selling, up-selling, or product mix
- Anomaly detection
- Recommendation engines for your clients