We help companies to use data in reducing costs and improving sales.

We are a team of data experts using advanced data analytics in risk management, sales and operational activities.

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Solutions

In many areas, we provide solutions based on advanced data analysis.

Risk

Risk

We support financial organizations in B2B and B2C risk assessment.

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Frauds

Frauds

Using machine learning we detect more frauds and reduce false alerts.

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Debt collections

Debt collections

Our algorithms accelerate debt collection processes.

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Sales

Sales

We generate more sales to final buyers via behavioral profiling.

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Customer service

Customer service

By text mining we automate customer communication.

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Inventory

Inventory

We reduce costs by better demand forecasting

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Experts in data analysis

Our competences result from the implementation of several dozen projects in risk, CRM and optimization of operational activities.

The most important for us is long-term cooperation with clients and generating results that can be converted into money.

Comprehensive support

We support clients comprehensively at every stage of analytical projects. From defining goals, through data acquisition, to implementation and training.

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

Make an appointment for a free consultation

Our competences result from the implementation of several dozen projects in risk, CRM and optimization of operational activities.

Free consultation

Knowledge zone

Blog

How to measure the value of data science in business?

Sales must generate value for the customer. Value in business means something very tangible that could be a return on investment.

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