Business solutions and analytical services

Our Solutions

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Risk

We implement comprehensive projects in B2C and B2B credit risk assessment.

We can help when your company:

starts financing operations in a new market segment
plans to improve an existing risk assessment process
needs risk management tools
does not have an appropriate market know-how
has no data.

We bring real value to our clients from the financial sector: banks, leasing, lending and factoring companies.

b2c risk assessment
b2b assessment risk
assessment audit

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Frauds

We help companies from the financial, distribution, industrial and commercial sectors in detecting frauds.

We increase detection of credit, transaction, internal and counterparty frauds.

The combination of machine learning methods and business knowledge allows optimizing detection of real frauds and reducing false alerts.

credit frauds
internal frauds
audit of fraud detection processes

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Debt collection

Financial institutions often have problems with optimizing debt collection activities.

A large number of them use a few debt collection processes for all clients, which is not always optimal.

We improve collection processes by:

accelerating recovery of arrears
recognizing willingness of debtors to pay off
increasing effectiveness of debt collection steps
rising profitability of debt collection activities

willingness to pay off
the effectiveness of the process
profitability of debt collection

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Sale

By using machine learning, we increase sales efficiency in the existing customer base by:

estimating purchasing value of customers
forecasting propensity to buy specific products / services
increasing effectiveness of marketing campaigns
reducing percentage of churning customers

Customer profiling Up / cross sell
Customer retention

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Customer service

Optimizing operational performance may include:

support in choosing the most effective channels of contact with customers
prioritizing activities based on customer value
allocating activities depending on the experience and competences of employees

Sales campaigns
Optimization of communication
Automation of processes

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Inventory

Thanks to advanced data analysis, we help by:

matching level of inventories to demand
increasing percentage of customer order fulfillment
reducing costs of freezing the working capital
cutting down losses caused by excessively high stocks

Demand forecasting
Forecasting the purchase of goods

You have a problem and data, we will find a solution.

Collection and integration of data

Data integration from many sources – internal and external.

Data convertion into a usable format(.csv, json, xml, etc.)

Technologies

MySQL
Hadoop
Apache Spark

Data cleansing and preparation

Data quality process – checking data quality ( gaps, errors, broken data).

Process of removing, replacing, supplementing incorrect and missing data.

Technologies

Python
R
SAS
SPSS

Exploration data analysis

Searching for patterns with data mining.

Variable selection – identification and significance level testing.

Technologies

Python
R
SAS
SPSS

Model developement

Advanced analysis and construction of predictive models.

Evaluation and construction of an optimal model.

Technologies

R
Python
SPSS
SAS

Implementation of models/algorithms

Testing a model against a business goal.

Implementation of the final algorithm in a production environment.

Technologies

Python
R

Reports and visualization

Visualization of results.

KPI reporting.

Technologies

Tableau
D3.JS

We solve business problems using advanced data analysis.

Statgroup