Thanks to the combination of analytical knowledge and market know-how, we can execute the most complex orders.
Below are some examples from many years of our work.
Free consultation →Increase number of automated decisions in standard transactions.
Audit data, models and the decision-making process in terms of effectiveness and risk assessment quality.
Recommending rules that increase volume of automatic credit decisions while maintaining the required level of risk.
As a result we propposed changes to improve existing decision processes.
Building a credit risk assessment application for companies from 3 segments (micro, SME and startups).
Building an application based on customer data and market benchmarks.
Acceleration of customer credibility assessment, automation of data archiving in the central database.
Creating models for real estate valuation throughout the country.
Several models were built to update real estate prices based on the Bank data and geo-location information.
The Bank implemented models for updating value of real estates used as collateral in the credit portfolio.
Detecting frauds and internal scams. A small amount of frauds detected in the past.
Building a series of rules and models that alerted suspicious behavior and processes.
Increased detection of internal and external frauds.
Need to combine increased sales with risk assessment requirements.
Building rating (PD) and LGD models for calculating risk and provisions.
Ability to assess risk of leasing transactions for new clients from all market segments (SME and Corpo).
The purpose of validation was to assess quality of models, update parameters and prepare reports in accordance with requirements of the Polish Financial Supervision Authority.
The primary goal was to improve risk assessment and automate decision process. Models for risk assessment were based on the know-how of Statgroup experts
Accelerate payouts from debt portfolios.
Building models based on available customer data and expert know-how. Models enable to segment debt portfolio according to probability of repayments in specific time intervals.
Acceleration of debt collections due to indications of the predictive models.
Creating scoring models for risk assessment based on telecommunication data.
Building scoring models by combining telecom data and expert know-how.
Keeping risk of new customers to a minimum.
Our competences result from the implementation of several dozen projects in risk, CRM and optimization of operational activities.
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