Data Science
Data Analytics & AI increasingly plays a decisive role in the competitiveness of companies
Those who evaluate and use their data correctly know their customers better, anticipate needs and opportunities for new services and products, and recognize market changes and risks in good time.
In the course of the digital transformation, our working environment is increasingly shifting to the digital world. Employees, machines and sensors constantly generate new data that is processed, integrated into processes and stored in a wide variety of sources. As a result, more and more data is available that contains potentially valuable information. Although most companies have long recognized the value creation potential of their data, there is still a lot of catching up to do in terms of cost-efficient and targeted evaluation and use.
Data Analytics & AI identifies patterns and structures in data and provides important insights for smart business models and processes. When implementing data science systems, analytical thinking and interdisciplinary methods must go hand in hand to drive the development of machine intelligence. For this reason, it often makes more sense to carry out smaller projects during the start-up phase. Unrealistic goals and a lack of data science knowledge can quickly lead to data projects failing and the data science team losing management support.
We support you with the following services
- Our highly qualified Data Scientists are familiar with the latest business intelligence and analysis methods such as machine learning, predictive analytics, cognitive computing and artificial intelligence and analyze your data at your site or in our AWK Data Lab.
- As a neutral and independent partner, we show you what you need to consider when setting up internal data science teams and selecting suitable technologies.
- We accompany you on your way to a data-driven organization and help you to optimally tap existing potential and successfully overcome entry hurdles.
