Various data sources
eoda | data science environment
With the eoda | data science environment we integrate data science into your business processes.
Statistical models and applications
Workflow and cooperation
Delivering analysis results
Operationalization in business processes
Script languages are key in the digital revolution
Data mining, artificial intelligence and statistical models – the application of data science is one of the key success factors of the digital revolution. Data science algorithms are often written with programming languages such as R, Python or Julia.
These lightweight languages with their countless libraries for statistical models, data management or the visualization of results are especially suited for fast prototyping or for a proof-of-concept.
Data science as team discipline in the business environment
With the eoda | data science environment – consisting of the eoda | data science core and the eoda | data science portal – we combine data science with your business processes in order to develop processes and products supported by data or analytics.
eoda | data science core – controlling and managing analysis projects
The eoda | data science core is the centerpiece of this framework. There you can connect data sources, manage user rights and analysis scripts as well as control and operationalize analyses in a reliable and controlled environment. The data scientist will benefit from the full flexibility of the script languages and will be released from routine tasks.
Data science know-how and specialized expertise belong together
The eoda | data science core is complemented by the eoda | data science portal – a web application for exploratory analyses and the depiction of results. Individual data science applications such as condition monitoring or risk management can be configured with modules which are flexibly combinable.
As a result, the data science environment will optimize the cooperation of data science and specialty department: data-driven business processes will be established and new business models will be developed for the age of digitalization.
All the technical information of the eoda | data science environment can be found here.
The eoda | data science environment at TRUMPF Laser
TRUMPF is world market and technology leader in the field of industrial lasers and laser systems. With a condition monitoring portal based on the eoda | data science environment, TRUMPF managed to notably increase its analytics maturity by means of data and algorithms.
The benefits of the eoda | data science environment for...
Implementing the digitalization by means of data- and analysis-based processes
Development of AI applications
Interdisciplinary data science workflow based on CRISP-DM
Transparent and comprehensible analyses and results
Role and filter concepts for exploratory data analysis
User-friendly and customizable dashboards
Use of various open source scripting languages such as R, Python or Julia
Easy integration and customizable analysis scripts
Time and event-driven execution of analyses
Comprehensible results instead of black box approach
Use of the usual IDEs such as RStudio, Eclipse etc.
Standardized and documented API for incorporating analyses and models into business applications
Controlled and scalable environment
Extensive and well-documented interfaces
High performance due to load balancing
Separation of responsibilities
Reliable monitoring & logging
Deployment as SaaS, cloud solution or on-premise
You can also download all important information on the DSE with our information brochure:
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