DATA SCIENCE PLATFORM

Why a Data Science Environment?

Data-driven decision-making is a key competitive advantage across all industries. Small and medium-sized enterprises (SMEs) often fall behind larger players because implementation is perceived as expensive and complex.

Our pricing model enables a fast and cost-effective start.
We offer a concrete path to data utilization and help scale the results after implementation.

Browser-based data science environments have largely replaced ad hoc setups run on individual data scientists’ computers.
Commercial solutions are well-tested, secure, and reliable. More time is left for actual data analysis.

Who Is a Data Science Environment For?

Data science environments are used by data scientists, business analysts, and data analysts.
Typically, usage requires knowledge of a programming language such as Python, R, or Julia.
There are also low-code alternatives available.

The buyer can be a business executive, IT department, head of analytics, or director of data operations.

What’s Included in the Delivery

• Requirement assessment and planning
• Selection of the cloud-based data science platform
• Environment setup and configuration
• User training for the platform

Our support is available for technical questions, and we handle issue resolution directly with the system provider.

As an additional service, the implementation can include a real business use case.
In this case, the data science environment is tested against an actual business challenge, and the benefits are demonstrated with real results.

Benefits of a Data Science Environment

• ✅ Fast and controlled start to data-driven operations
• ✅ Improved decision-making based on analytics
• ✅ Always-ready environment: more time for actual analysis
• ✅ Build competitive advantage through analytics and modeling
• ✅ Full readiness for AI adoption