Data Science

In a data-driven world, it is no longer enough to know what happened – the crucial questions are why it happened and what will happen next. Data science combines statistics, machine learning, and modern analytical methods to extract valuable insights from large amounts of data.We help companies use their data intelligently – for better forecasts, informed decisions, and measurable competitive advantages.

We combine scientific methods with practical implementation and state-of-the-art technology – from R and Python to Microsoft Fabric.

Comeli holding houses in his hands – symbolizing data science, data processing, and predictive modeling.

Statistics

Hand-drawn bar chart – symbolizing statistics and data-driven analysis in the field of data science.

Statistics are the foundation of every data-based decision. They help to identify correlations, optimize processes, and reduce uncertainties.

We offer practical statistical analyses and training courses that can be directly applied to your business.

  • Descriptive and inferential statistics for operational and technical issues
  • Statistical analyses with R – flexible, reproducible, and visually appealing
  • Engineering statistics with Minitab for process optimization and quality analysis
  • Statistics with Oracle R Enterprise for integrated evaluations in Oracle environments
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Data Mining

Scatter plot with colored data points – visualization of data mining and pattern recognition.

Data mining is the art of discovering hidden patterns and structures in data. With modern algorithms and machine learning methods, we support you in using your data strategically – for better forecasts, customer analyses, and decision-making processes.

  • Data mining with R – flexible analyses with proven open-source methods
  • Data mining with Python – powerful machine learning workflows with Pandas, Scikit-learn, and more
  • Oracle Data Mining and Oracle Machine Learning for R – integrated analytics in enterprise systems
  • Microsoft Fabric Data Science – machine learning, notebooks, and modeling in the cloud
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Research & Development

Comeli using a microscope – symbolizing research, development, and analytical modeling in data science.

In recent years, we have participated in or organized various projects in the field of research and development.

  • Real estate: Innovative valuation of industrial buildings
  • Logistics: Electronic transport markets with multi-agent systems
  • Empirical social research: Innovative question-and-answer representations in electronic questionnaires
  • Technology: Evaluation of the inventive step in technology patents
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Trainings

We conduct seminars, training courses, and workshops on statistics and data mining using various technologies.

Comeli and a dog working with laptops at a table – representation of data science seminars and training in statistics and data mining.

Trainings on R

  • Descriptive and inductive statistics with R
  • Regression analysis with R
  • Multivariate methods with R
  • Time series analysis with R
  • Data mining with R

Trainings on Python

  • Descriptive and inductive statistics with Python
  • Regression analysis with Python
  • Multivariate methods with Python
  • Time series analysis with Python
  • Data mining with Python

Trainings on Minitab

  • Design of experiments (DOE)
  • Statistical process control (SPC) with Minitab
  • Statistics for engineers

Trainings on Oracle

  • Statistics with Oracle SQL
  • Data mining with Oracle PL/SQL
  • Data mining with Oracle Data Miner
The Comeli dragon is teaching at the blackboard at ComelioCademy.

Trainings

Specific trainings and current topics can be found in the Comelio GmbH course catalog.
Whether in-house at your company, as a webinar, or as an open event – the formats are flexibly tailored to different requirements.

Go to trainings

References

Our projects in the field of data science focus on the development of analysis platforms using technologies such as expert systems, ontologies, and statistical analysis.

Laboratory table with flasks and a burner – symbolizing analytics platforms, experiments, and data science projects.

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Development of a data warehouse for e-commerce and marketing analyses. Design, consulting, and implementation with MS SQL Server using data vault modeling and OLAP cube development with Analysis Services (SSAS), data integration and data quality assurance via Integration Services (SSIS), and reports with Reporting Services (SSRS) and Power BI, as well as extensions/display in R/Shiny for forecasting/segmentation

Data warehouse, data vault, SSAS-OLAP, R/Shiny

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Analysis system for globally collected market and balance sheet data, including data integration, regression models, classification, and time series analysis for credit insurance

Data integration, regression models, classification, time series analysis

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Intranet reporting system for structured financial products with Oracle DB, PL/SQL, Oracle OLAP, Oracle Data Mining, R, Java

Intranet reporting, Oracle OLAP, data mining, Java

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Ontology-based survey system for multidimensional and interactive questionnaires in the field of public administration

Ontology, interactive questionnaires, public administration, survey system

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Ontology-based expert system for monitoring competition in the technology sector based on patents and the level of invention

Ontology, expert system, patent monitoring, technology analysis

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Expert system for the analysis and evaluation of factory buildings, including usage simulation and interactive evaluation/questionnaires

Expert system, factory evaluation, usage simulation, interactive evaluations

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Evaluation system for employee surveys and dynamic report generation and team-related analysis with up to 10,000 individual reports in MS PowerPoint

Employee surveys, dynamic reports, PowerPoint automation, team analysis

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Analysis system for comparing usage profiles in map searches

Usage pattern analysis, map search, profile comparison, analysis system