


As costs and competitive pressure continue to grow, it is important to be quick, proactive and accurate when making decisions within the company. Business intelligence is the foundation of useful data. When combined with predictive analytics, data science allows you to gain detailed insights into your data and make forecasts for the future.
Working together with you in an interaction room workshop, we analyse the use cases that are suitable for your company and define the appropriate framework conditions. During the workshop, participants will develop a basic understanding of the business idea, the existing IT structure, the structure and quality of the data and what information the data contains. Our experts then design a corresponding implementation plan and a suitable selection of architecture and technology.
Prototyping is all about speed. The goal is to evaluate the functionality and feasibility of the developed concept as quickly as possible. To achieve this, a suitable amount of data is used for the prototypical development of the intelligent algorithm. In this context, we would also be happy to provide you with information about the Datathon.
How will the roll-out take place, should batch or stream processing be preferred, and how is the quality of the product being monitored? The goal of operationalisation is to answer these questions and to integrate the use case developed in the prototyping phase into a company-wide platform – from proof of concept to data-driven product, as it were.
Can your company’s problem be solved through AI? What are the possible approaches and what data is available? Which technologies and concepts can be used? How does a prototype become a finished product? We have developed a concept, divided into three phases, for implementing data science and AI projects in a structured and goal-oriented manner.