Data analysis

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Mikkel Bue Lykkegaard

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Data analysis

Create value with your data. We help you every step of the way, from data collection to solution.

With rapid digital development, businesses are collecting more and more data. The correct use of data provides a solid foundation for decision-making, innovation and increased efficiency. At Danish Technological Institute, we help you throughout the entire process, from collection and quality assurance to analysis, modelling and turning data into real business value.

Statistical data analysis and modelling

Whether your data comes from production, experiments, or operations, we help you to:

  • Conduct in-depth analyses of your existing data and derive robust conclusions based on the data.
  • Develop statistical models that provide insights and strengthen the foundation for decision-making.
  • Automate data collection, analysis and visualisation.

Experimental design

A good experimental design ensures maximum insight with minimum effort and cost.

We help you to:

  • Plan and design experiments so that you obtain valid and usable data.
  • Perform power calculations so that resources are used efficiently and the volume of data is optimised.
  • Optimise existing experimental setups or develop new ones that match your needs.

Data mining, anomaly detection, and pattern recognition

Gain an overview of large volumes of data, find hidden patterns, and ensure valuable insights are not overlooked:

  • Identify anomalies and extreme observations, for example in production or in connection with risk management.
  • Discover valuable patterns, understand how data is interconnected and identify areas for optimisation.
  • Validate and quality-assure existing data to ensure a solid foundation for analysis.
  • Set up and improve pipelines for automated data collection, trend analysis and outlier detection.

We have technical experience in:

  • Statistical data modelling, including multivariate analysis, as well as chemometric, geostatistical, econometric and Bayesian models.
  • Optimal experimental design and power calculations.
  • Forecasting analysis, process control and alarm systems.
  • Time-series analysis, image analysis and sensory analysis.
  • Data cleaning, quality assurance and data validation.
  • Preparation and analysis of user surveys.

Are you ready to create value with your data?

Book a free, initial consultation or learn more about how we can help you take the next step, whether you are a beginner or already actively working with data.