We implement the optimal analysis environment
Benefit from our wealth of experience as well as our detailed knowledge of the diverse data science toolset to find long-term solutions for you and to realize the best possible environment for you. We focus in particular on the two areas of operating system and data science stack.
We implement the optimal analysis environment
Benefit from our wealth of experience as well as our detailed knowledge of the diverse data science toolset to find long-term solutions for you and to realize the best possible environment for you. We focus in particular on the two areas of operating system and data science stack.
Operating system
(Staging) Architecture
The creating of different environments for the different maturity levels of the analyses, which extend from the development to the live environment.
Authentication and authorization
Mapping of workflows with individual role definitions and a granular authorization concept.
Database connection
Unique central configuration of various database drivers to create proximity and user-friendly access to data.
Data science stack
Data science languages
Based on the assessment, eoda identifies which programming language is suits best for the requirements in your individual analysis scenario.
Package management
The productive application of data science languages such as R and Python imposes special requirements on the use of the packages. These include management dependencies or the continuous deployment of critical updates.
Version management
For the professional use of analysis scripts, it is recommended to use version management to document changes to the source code in a comprehensible and transparent way and also being able to annul them if necessary.
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