We will show you how you can benefit from Advanced Analytics and support you starting with the development of use cases, the implementation of proof of concepts and the integration of the analysis solution into your production system. In doing so, we naturally take into account the process models, reference architectures and software tools already established in your company and integrate your experts with their knowledge and experience into the data science process at the start, in order to think outside the box and uncover further potential, not only technically but also professionally.
We support you with:
- the use of systematic application of artificial intelligence (AI) methods to find and utilise patterns, trends and dependencies in existing data (data mining)
- the automated modelling of statistical correlations based on extensive training data (machine learning)
- the custom-fit application of advanced analysis and forecasting procedures (predictive analytics, deep learning)
- the clear evaluation and processing of gained insights and prototypical models
In implementing analytical projects, we are guided by tried, tested and adaptable process models (see CRISP-DM), which best reflect the iterative and agile nature of such a complex data science process and ensure the greatest possible transparency and predictability.