Data Science
The future of you data
Accumulated data that is still “lying around” uselessly at your company can offer forward-looking information. Information that gives your company that certain edge.
Welcome to the world of data science!
The goal of data science is to develop patterns, trends and thus models from data. These models can be used to generate insights that enable you to make strategic decisions at an early stage. They show your company a purposeful path for the future.
For a successful implementation and a sustainable added value of your vision, it goes through five phases. These five phases of a data science project represent a cycle that can be run through several times. We take you by the hand and support you throughout the entire process.
Tipp
Would you also like to train your colleagues to be able to independently discover artificial intelligence use cases in the future? Then talk to us about our newly developed AI Ambassador Workshop. We will make your colleagues fit so that they can recognise the potential themselves.
In partnership
This is how we work
- Development of overarching basic concepts with regard to modelling and implementation
- Contribution of best practices
- Project management with reference to Scrum
- Use of various possible tools such as AWS, Databricks, Exasol, Talend, Jupyter, Tableau, etc.
- Use of Big Data components (Spark, Hive, etc.)
- Option of cloud-based use
- Implementation, test and QA
- Introduction to the operation
Would you like to be advised?
Contact
Board of directors
Phone: +49 (0)40 53302-444
E-Mail: rouven.homann@cimt-ag.de
The five phases of a Data Science project
Vision & Business Understanding
Analysis & Insights-Generation
Implementation & Production Cycle
Datenanalyse bietet nachhaltigen Mehrwert für das Unternehmen