Data analysis
- Data clustering and segmentation
- Selection of features that influence the result (feature selection)
- Feature construction/generation (feature engineering)
- Data visualization
- Dimensionality reduction
Recommender Systems and Data Analysis
Data analysis, data segmentation and clustering, pattern discovery and anomaly detection, personalized offers based on customer preferences, loyalty programs, recommender systems and decision support systems
Data analysis
Data clustering and segmentation
Recommender systems
Recommendations based on customer preferences
Decision support systems
Decision support systems
Recommender systems
- Recommendations based on customer preferences
- Generating recommendations to achieve a target function, such as a sales plan
- Optimization of spending and expenses
Anomaly detection
- Anomaly detection in data
- Discovery of hidden patterns
- Trend identification
- Unsupervised learning
Decision support systems
- Data-driven management
- Decision support systems
- Expert systems
Recommender systems
Our cases
Customer churn forecasting
The system algorithms divide the entire customer base into clusters and identify customer segments most prone to churn
Website classification
A hierarchical system for classifying websites by category
Investment portfolio optimization
A recommender system for investment portfolio optimization
Auto insurance fraud
Recognition of fraud in auto insurance
Marketing campaign optimization
Optimization of marketing campaigns to increase conversion
Analysis of public sentiment trends
A system for forecasting public sentiment trends for selected topics
Look-alike audience
Look-alike audience system
Detecting anomalies in the operation of a GRES power unit
Anomaly detection and trend identification in the operation of a GRES power unit, followed by creation of forecasting models for power unit failures