Based on its rich scientific background, ScienceSoft provides deep data mining services to help companies retrieve real business opportunities and put them into practice.

ScienceSoft works in the area of BI & Data Science since 1989. The company has a rich scientific background and has contributed to 35+ patents in artificial intelligence and pattern recognition. We offer advanced data science services to extract hidden value for your decisions.

BI products created by ScienceSoft  in 1990s - early 2000s are widely used in various industries. Among the users of our software were such well-known market players as UnileverColgate-Palmolive, CaterpillarMotorola and others.

To guarantee accurate and reliable outcomes, ScienceSoft works closely with leading research institutions focused on data modelling, statistics and computer science.

We offer

Initial advice and direction. We help you realize how your business in particular can get a competitive advantage from Data Mining.

Advanced Data Analysis implementation. We offer full-cycle Data Analysis starting from data gathering and cleansing to profound modeling and suggestions on implementation. To make the results more accessible, we offer development of bespoke tools to be accessible from mobile, desktop or web environment.

Support service. ScienceSoft offers continuous data analytics on the regular basis to keep you well informed.

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Our highly skilled experts have wide experience in

  • Building complex predictive models
  • Building statistical models (e.g. linear regression, logistics regression, time series models)
  • Machine learning algorithms and methods (e.g. association rules)
  • Text and semi-structured data mining
  • Pattern recognition
  • Knowledge representation
  • Decision support methods (e.g. decision trees)

We use latest techniques and methodologies to address the most challenging business issues

  • Recommendation generation
  • Anomaly detection
  • Churn analysis
  • Risk management and fraud detection
  • Best practices detection
  • Customer segmentation
  • Targeted ads
  • Forecasting

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