data science environment

eoda | data science environment

With the eoda | data science environment we integrate data science into your business processes.

Data

Various data sources

Models

Statistical models and applications

Collaboration

Workflow and cooperation

Results

Delivering analysis results

Integration

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.

Kollaboration von Data Science und Fachanwendern

Case Studies

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 Case Study

 

The benefits of the eoda | data science environment

Workflow

The eoda | data science environment is the result of many years of experience from data science projects and allows for an intelligent connection of data science, IT and specialty departments as well as cross-departmental and cross-functional workflows.

Effectiveness

Event and time-controlled execution of analyses, version control, simple provision of results or integration of the latest graphics library such as highcharts - the eoda | data science environment offers maximum flexibility for data scientists.

Integrability

The eoda | data science core and the eoda | data science portal are modular frameworks which can be adjusted individually to your technical and content-related requirements. They are provided either as Saas, cloud solution or on-premise.

 

Make your data come alive:

 

Download our DSE information brochure:

Contact us

Call us on +49 561 202724-40 or send us a message:

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