We support you in the implementation of a data-driven organization. Instead of opinions and gut feelings, your decisions will be based on well-founded figures. This is achieved by linking applied mathematics and economics to describe relevant use cases. The goals of data science are clear: Understand customers better, tailoring offers more individually and making forecasts for the future. Ultimately, it is about recognizing relevant correlations in the data, identifying patterns, and using results to create added value.
Because quanteroo means passion and not mere number optimization.
We do not just build machine-learning models; we penetrate the depths of your data and uncover new, company-relevant information. We understand your business processes and use data science to improve them where it makes sense. Whether it be by automating repetitive, manual activities or determining key figures that could not be calculated so far. With the help of artificial intelligence and our understanding of company-specific business processes, we transform your data into added value and uncover new opportunities and potential for your company.
Our data scientists take up your company’s problems and use their own experience from previous projects. The development of models with machine learning is the methodological core of data science projects. The data preparation takes up the by far largest part of a use case in terms of time, but there is great deal of experience and methodical know-how involved in model selection and evaluation. We support you in data preparation, data exploration, model development, model evaluation, model implementation and model management. Your experts will be involved throughout the entire project. In this way, not only everyone involved will understand how the developed solution is working, but your experience and knowledge will directly impact the analysis.
Our customers often have specific requirements and methodological challenges that are not covered in standardized training. For this reason, we offer individually tailored training courses in data science, statistics and machine learning with the programming languages “R” and “Python”. We present theoretical topics on machine learning and statistics in an educationally valuable manner and demonstrate the content using many practical examples. We cover topics not only theoretically, but also share our experience from numerous data science projects, for example best practices for operationalizing data science use cases.