R and Python

R and Python are excellent solutions for a wide range of statistical, analytical, and technical tasks.
Both are available under open-source licenses, are supported by a huge community and are improving rapidly.
One of their strengths lies in the availability of packages (like SciPy, NumPy, pandas, TensorFlow and Keras in python
or ggplot2, dplyr, and randomForest in R) and the powerful development environments and tools
(like RStudio, Jupyter Notebook, PyCharm and git).

Use Cases

R and Python cover a wide range of applications.

That makes it possible to for example,

  • calculate specific statistics,
  • create data visualizations,
  • to generate forecast models,
  • data-driven optimization
  • and much more

In many cases a wide range of algorithms is available to build a solution. In many cases that includes the most recent developments from the scientific community which are often not yet available in other platforms.

Our services

We support you with all aspects regarding the use of R and Python – from selecting the right environment, over training your employees to developing new solutions tailored to your needs.

Delivery

A solution ready for use in R or Python can be

  • a script or
  • an application (App) with its own user interface
  • in a desktop or server environment
  • for individual or many users
  • on-premise or in cloud or
  • integrated in another application like TIBCO Statistica or TIBCO Spotfire

Our team has the necessary experience to build enterprise-ready solutions. Together with you we will discuss and find the best way for your specific needs.

Our Expertise

Projects & Solutions

We assist you from qualification to implementation.

  • Qualification or review
  • End-to-End
  • Documented
  • Repeatable
  • Team-oriented

 

Know-How

We educate you and your team.

  • Methodological trainings
  • Software trainings
  • Individual trainings
  • Online, at your training facility or at ours

Technology

We introduce the right software tools in your organization.

  • Selection
  • Installation
  • Integration into your environment
  • Customization and extension
  • Support

 

Data

Good data is the foundation for successful projects.

  • Connection of internal and external data sources
  • Integration and unification
  • Data cleaning
  • Data Preparation and Wrangling
  • Feature Engineering

Analytics

Through analytics we enrich the data and generate insights.

  • Data visualization
  • Machine Learning & AI
  • Business Rules
  • Manually or automatically

Deployment

Generation and distribution of results and deployment of applications.

  • Predictions
  • Reports
  • Dashboards
  • Monitoring
  • Automated actions
  • Regularly, in realtime or via WebService
  • On-premise or in the cloud