Data Science and AI: We realize your data projects
Machine data, CRM data or information from your enterprise resource planning system: Do you have a treasure of data waiting to be discovered? You can do more predictive maintenance, address customers in a more targeted manner, or better forecast sales and price trends: There is strategic knowledge in data. Do you see a specific use case in which this knowledge can help you?
Are you looking for an experienced partner who can help you to develop data-driven solutions that will really help your company?
Your initial situation
You have data that you want to turn into tangible benefits or you see the information in data that helps you solve current problems.
Based on data and algorithms we at eoda transform your idea into a working solution. We support you from the conception to the productive implementation.
New sources of revenue, decreasing costs or more efficient processes and decision paths: take advantage of the opportunities offered by digitization to move your business forward.
eoda: Your partner for successful data projects
Conception, data management, modeling, go-live: We realize your data projects from the idea to the implementation of the solutions in your business processes. In order to do this successfully, we combine statistical methodological knowledge, distinctive programming skills and state-of-the-art technologies with a clear understanding of business processes and interrelationships. With over 10 years of project experience, we will find the right solution for your application – from cluster analysis to complex deep learning algorithms. 14 DAX-listed companies already rely on eoda for their data science needs.
What is the goal that drives you? What problem do you want to solve as quickly as possible? Where do you see your data potential? Get in touch with us. We transform your data into concrete added value for you.
Oliver Bracht | Chief Data Scientist
Case study: Artificial intelligence for better sales forecasts
We have increased the accuracy of sales forecasts at SMA Solar Technology AG by up to 35% through the use of precisely fitting and scalable machine learning models, thus decisively improving the planning basis for many business areas.
Case study: Customer analysis to increase the response rate
We used data mining methods to determine the affinity of their customers for specific consulting topics for VR Bank, helping to make sales activities more goal-oriented and effective.
Case study: Predictive analytics for the smart rotary indexing table
We create new customer services and increase machine availability through predictive detection of anomalies in the control data and the development of condition monitoring dashboards for the WEISS Group.
Case study: Data mining for automatic categorization of customer responses
We used data mining algorithms to automatically categorize the answers to open-ended questions in an international customer survey conducted by the OBI Group, thereby significantly reducing the evaluation effort.