Data Analysis

Conversion of raw data into information useful for decision-making.

The process of organizing and thinking about data is key to understanding what the data does and does not contain. In the course of organizing the data, trends often emerge, and these trends can be highlighted in the writeup of the data to ensure that readers take note.

We create data models with the use of mathematics to exaggerate points of interest, making them easier to see.

We perform in following areas:

  • 01Data mining
    Data mining tools predict future trends and behaviors, allowing to make proactive, knowledge-driven decisions. The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by retrospective tools typical of decision support systems.
    We help to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified.

    Application fields: retail, banks, manufacturing, telecommunications, insurance and others.
  • 02Pattern recognition
    Pattern recognition systems recognize patterns in data and cope with real and noisy data. It consists of data building, pattern analysis and pattern classification.
    It encloses subdisciplines like discriminant analysis, feature extraction, error estimation, cluster analysis, grammatical inference and parsing.

    Application fields: artificial intelligence, image analysis, character recognition, speech analysis, man and machine diagnostics, person identification and industrial inspection.
  • 03Statistical data analysis
    The goal of statistical analysis is to identify trends. Business might use statistical analysis to find patterns in unstructured and semi-structured customer data that can be used to create a more positive customer experience and increase sales.
    We use mathematical principles to decide how likely it is that our sample results match our hypothesis about a population. Our tools are from traditional analysis of variance and linear regression to Bayesian inference and high-performance modeling for massive data.

    Application fields: retail, banks, manufacturing, telecommunications, insurance and others.

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  • Gelsingforsskaya 3, corpus 11D
    194044, St. Petersburg, Russia
  • +79522068225
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