Predictive Analytics for Financial Services
GiniMachine predictive analytics platform is a powerful tool for building risk models. Due to a combo of friendly UI and AI/ML behind the curtain, the platform is a perfect fit for any type of business in the field of financial services.
AI-Based Predictive Analytics for Financial Services
Financial institutions are embracing fintech to gain a competitive advantage. The platform provides great value for financial organizations and alternative lenders: it works with large datasets to make lending, P2P investment, and marketing decisions data-driven and beneficial.
GiniMachine can be used for building decision-making models, credit scoring models, application scoring, churn prediction, and more.
The operations are carried out automatically: GiniMachine does the analysis for you: it implements a special decision tree ensemble method, a set of heuristics and a few proprietary algorithms.
After the models are ready, you get access to valuable financial insights, graphs, and diagrams. They sort data types by importance, calculate Gini Index, and visualize thresholds crucial for decision-making.
The scoring models can be on-premise or cloud-deployed and require minimum user involvement to provide real-time calculation and predictions.
The platform works with historical data, including big data and raw data – it requires no preliminary analysis or processing.
Our clients agree that GiniMachine is a promising investment due to a reduction of labor costs, improved loan portfolios, and higher customer satisfaction.
Apply for a free live demo and our team will guide you through the GiniMachine interface: from uploading the data to building the model and analyzing the graphic representation of model indicators.
Success stories of our customers: why they have chosen GiniMachine, what they expected from the platform and which goals they managed to attain.
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Leave your contacts to get a quick product tour, ask your questions, and check out if it fits your business needs. We’ll get back to you as soon as we can.