We support you with proven analysis procedures such as managing bank lending or identifying risky customer segments. In addition to the data-supported determination of individual default risk, we help you to detect fraudulent intentions at an early stage. In other words, we develop your individual solution to fraud prevention.
We make risk management more transparent
Risk analyses as a reliable base for making the right decision
The early detection and correct assessment of risks lay the foundation for proactive measurements to make sustainable and successful choices. Apparent risks present only the tip of the iceberg. In order to forecast yet undiscovered threats, a comprehensive analysis of influential factors is required. With our know-how in the field of data science, we link different information, quantify known risks and determine previously unknown interrelations.
With the use of analytics, we bring transparency into your decision-making process and create the foundation for a successful risk management.
Fields of application and their advantages
Which part of a machine can fail? What are the odds? What are the negative consequences? The correct risk assessment is essential, especially in an industrial context. We conduct a risk quantification for you, considering various internal and external factors.
The introduction and development of new products or services are always risky. What will be the expected costs? What price can be achieved on the market? Which sales figures are realistic? We help you find reliable answers and give you the opportunity to anticipate developments and plan more successfully.
Learn more about our data science portfolio
Consulting & Projects
Benefit from the know-how and experience of the German data science specialist and unlock the potential of your data.
We believe in data science enablement. In our training courses we will teach you the skills for writing your own digital success story.
With the eoda | data science environment we build the foundation for the productive application of data science in companies.