Project work along the data journey

Like a well-planned journey, successful and efficient data-based projects go through four successive phases: the data journey. The individual tasks in these phases are the prerequisites for the subsequent phases to be successful and for the end result to take shape as a unique travel experience. The data journey helps us to process projects in a structured and efficient way. Our customers appreciate the data journey because it transparently shows right from the beginning which stage an idea or a project is at and which tasks lead to the next step. The key points are:

1. Data strategy
   Finding and testing use cases, building possible road maps
2. Advanced analytics
   Data preparation, proof of concept
3. Software solution
   Scaling incl. training, integration, launch
4. Operations
   DevOps, continuous training, system monitoring

We will be happy to provide you with more information on the data journey on request. Just contact us.

Our offer for you

Success is based on trusting cooperation. Only if we know your goals and you know what makes us tick can we be successful together. In order for us to advise you in the best possible way, it is important for us that you get to know us and we get to know you and your ideas, goals and projects. After an initial contact (usually by telephone), we will be happy to visit you, along with our experts. In these AI workshops, we discuss the objectives you want to achieve in your data-based projects. What are the technical solutions to reach these objectives? What data is required? Is suitable data already available?

Our expertise for your project

Data science projects and the paths to the goal are as individual as the requirements, wishes and goals of our customers. That's why we provide flexible support for your specific challenges - for selected modules, but also for the entire solution path:

• Data selection
  Which data is necessary to realize your project and how can it be collected? Take advantage of our knowledge.
• Data pre-processing
  Do the data need to be anonymized, encrypted, pre-aggregated, etc.? What temporal resolution is useful to achieve your goal? Trust our experience.
• Data collection
  Storage location, storage path and usage permissions must fit your goal. Which technical platform is suitable and who operates and supports it? Benefit from our overview.
• Data evaluation
  Artificial intelligence, deep learning, neural networks or maybe not so fancy sounding statistical methods: Which solution path is best suited for your goals and your data? Put your trust in our sovereign data experts.
• Data visualization
  How should your analysis be visualized? Dashboards (including Tableau®, Qlik®, etc.), PDF reports or fully automated actions depending on the analysis results: User-friendliness is a key guarantor of success for your goals. Put your data in the right light with us.